ChapterPDF Available

8. Twitter

Abstract and Figures

This chapter explores the language of microblogging by focusing on discourse produced via Twitter, a popular microblogging service. In the first section I consider microblogging as a semiotic practice, trace its historical development and investigate the interdisciplinary research into this form of communication. My focus will be on linguistic work in the areas of pragmatics and discourse analysis which explores the dominant communicative conventions that have arisen via Twitter, such as retweeting and hashtagging. I will then turn to the social concept of what Zappavigna (2012) terms ‘searchable talk’, i.e. discourse which renders opinion and sentiment readily findable through resources such as social tagging. The chapter concludes by suggesting the important role that ambient affiliation plays in microblogging by forging communities through negotiating values, an issue to which I will return in my chapter on evaluation in social media (cf. Ch. 16, this volume).
Content may be subject to copyright.
8. Twitter
Michele Zappavigna
Abstract: This chapter explores the language of microblogging by focusing on dis-
course produced via Twitter, a popular microblogging service. In the first section
I consider microblogging as a semiotic practice, trace its historical development
and investigate the interdisciplinary research into this form of communication. My
focus will be on linguistic work in the areas of pragmatics and discourse analy-
sis which explores the dominant communicative conventions that have arisen via
Twitter, such as retweeting and hashtagging. I will then turn to the social concept
of what Zappavigna (2012) terms ‘searchable talk’, i.e. discourse which renders
opinion and sentiment readily findable through resources such as social tagging.
The chapter concludes by suggesting the important role that ambient affiliation
plays in microblogging by forging communities through negotiating values, an
issue to which I will return in my chapter on evaluation in social media (cf. Ch.
16, this volume).
1. Introduction: Microblogging as a semiotic practice
The advent of social media has seen a proliferation of semiotic resources for con-
struing experience, negotiating values, and enacting identities and communities
online. Microblogging is a short-form social media technology, involving the
posting of small, typically episodic, messages aimed at internet-mediated audi-
ences. These texts appear on social media services, such as Twitter and Weibo, as
chronologically unfolding streams of posts associated with a user’s social profile.
Microblogging services are “specifically designed to broadcast short but regular
bursts of content to particularly large audiences well beyond a user’s direct social
network” (Murthy 2013: 12). Users subscribe to the feeds of different accounts,
and search posts in the public stream with native or third party applications. An
example of a post is the following, taken from a corpus of tweets about coffee
(Zappavigna 2013):1
1 Examples used in this chapter are drawn from this corpus unless otherwise noted. This
corpus of ‘coffee tweets’ has been used to investigate how people use language to forge
social bonds online, here by aligning around shared feelings about the positive effects
of morning coffee. This has been explored as a shared process of ‘ambient affiliation’
that we will return to at the end of this chapter.
DOI 10.1515/9783110431070-008
202 Michele Zappavigna
As Figure 1 suggests, different kinds of textual elements augment the ‘body’ of a
post, including social tags (e.g. #needcoffee in the above), various types of meta-
data (e.g. timestamps), and material relating to the author’s profile such as an icon
and username.
At the time of writing in 2016, the range of genres deployed via microblogging
is vast, and correspondingly challenging to map them exhaustively. By deploying
a particular instantiation of a genre “an individual user establishes a contract with a
particular social group or a segment of social media users” (Artemeva 2015: 282).
These genres span most domains of social life from the personal and domestic, to
the political and national, incorporating a range of linguistic functions, from ide-
ational broadcasting of content, to interpersonal sharing of feelings (Zappavigna
2015). Descriptions of microblogging usually imply that these genres are conver-
sational, and that microblogging involves some kind of ‘conversational exchange’
(Honeycutt and Herring 2009). The practice has been described as “lightweight
chat” (Starbird et al. 2010: 242), as “prompting opportunistic conversations” (Zhao
and Rosson 2009: 251), as “a specific social dialect, in which individual users are
clearly singled out and engaged in a conversation” (Holotescu and Grosseck 2009:
163), and as constituted by “dialogue acts” (Ritter, Cherry and Dolan 2010: 172).
This chapter begins by broadly surveying interdisciplinary research into
microblogging and the kinds of features/dimensions of communication as well as
research methods that have been applied in this domain. It then historically con-
textualises microblogging as a semiotic practice, introducing Twitter, one of the
most popular platforms, as a semiotic technology. Some of the main communica-
tive conventions that have arisen on Twitter (such as @mentions, retweets, and
hashtags) are then introduced, alongside linguistic studies incorporating these fea-
tures. Since the social function of social media communication is, broadly speak-
ing, about forging relationships (across a large variety of often quite niche-like
domains), linguistic studies of social media are necessarily bound by the need to
locate theory and analytical methods that are able to account for how such social
affiliation is enacted in discourse. The final section of this chapter thus consid-
ers attempts to understand how people use language to forge (and disrupt) social
bonds, i.e. issues that are currently at stake in social media research.
Figure 1. An example of a microblogging post
Twitter 203
2. Interdisciplinary research into microblogging
Research into microblogging is a multidisciplinary arena, spanning domains out-
side linguistics such as psychology, media studies, marketing, and many others.
It often focuses on snapshots (Popescu and Pennacchiotti 2010) of ‘real-time’
microblogging communication at particular temporal or contextual moments, for
instance during natural disasters (Shaw et al. 2013), elections, or as a backchannel
during live entertainment (Highfield, Harrington and Bruns 2013). The diverse
and extensive range of naturally-occurring discourse available on Twitter has also
meant that work has been conducted on this platform across most major fields in
linguistics, ranging from pragmatics, sociolinguistics, corpus linguistics to com-
putational linguistics, and systemic functional linguistics. These studies explore
communication about every conceivable topic from the nature of people’s discus-
sion of e-cigarettes (Cole-Lewis et al. 2015) to the interactions of athletes (Ham-
brick et al. 2010). Much research has investigated a wide range of pragmatic issues
such as the nature of Twitter corporate apologies (Page 2014), politeness in tweets
(Sifianou 2015), the speech act of self-praise (Dayter 2014), linguistic features
associated with sexual aggression in tweets, e.g. the language patterns seen in rape
threats, (Hardaker and McGlashan 2016), gender representation, and issues of per-
ceived linguistic authenticity (Kytölä and Westinen 2015).
Public access to Twitter’s Application Programming Interfaces (API)2 means
that tweets are relatively easy to collect and hence a vast array of domain-spe-
cific research into particular niche issues has built up around Twitter.3 Thus it is
unsurprising that the dominant research strategy has been to analyse (both quanti-
tatively and qualitatively) social media corpora (see for example Baker and McEn-
ery 2015; Page 2012a, 2012b; Seargeant and Tagg 2014; Zappavigna 2012). Some
of this work adopts a sociolinguistic interest in exploring variations in tweeting
practices across variables such as gender, ethnicity, and language variety (Adnan,
Longley, and Khan 2014; Bamman, Eisenstein, and Schnoebelen 2014; Neubig
and Duh 2013) and individual variation (Kelsey and Bennett 2014). There has also
been some interest in exploring social media texts in terms of narrative theory that
2 The API is the language that software tools use to communicate with Twitter’s back-end
database in order to assemble subsets of posts from the public feed. The ‘garden hose’
is the freely available access provided by Twitter to its data, and is a random sample of
posts (collected according to Twitter’s particular algorithm defining randomness) and
a subset of ‘fire hose’ access to all publically available tweets. Most Twitter corpora
are produced by creating what Popescu and Pennacchiotti (2010) refer to as a Twitter
‘snapshot’, featuring some entity, a time period, and a selection of tweets.
3 Payment, however, is obligatory if an exhaustive set of tweets is required, beyond the
‘random’ sample offered by the ‘garden hose’ feed of tweets that Twitter makes freely
available.
204 Michele Zappavigna
has developed out of early research into narrative such as Labov and Waletzks’
(1967). For example, in accord with Page’s work, Dayter (2015) approaches tweets
as instances of “small stories” and suggests that these stories can span multiple
tweets and be analysed using the orientation, complication, evaluation and reso-
lution genre structure regularly used to characterise narrative. She also identifies
two types of stories that she claims are typical of an ‘eyewitness microgenre’. The
first is a ‘delayed resolution narrative’ in the form of live commentary which can
only be seen as a single coherent narrative once completed. The second is a ‘tiny
story’ which is a fragmented account of an everyday activity in which the narrative
stance is not clear. A detailed survey of research methods used to explore social
media is provided by the textbook Researching the Language of Social Media
(Page et al. 2014).
Despite the accumulation of linguistic research into social media, the major-
ity of studies investigating Twitter do so from a communication theory or media
studies perspective without applying a particular theory of language to the com-
municative patterns observed. The detailed linguistic analysis of particular types
of social media texts is a complex undertaking from which a wide range of meth-
odological challenges can arise. These include ethical issues due to the intimate
material revealed in posts, problems related to the multimodal nature of the data,
and the complexity of accounting for the relationship between online and offline
contexts (Bolander and Locher 2014). An ongoing and important consideration for
linguistic projects exploring social media is how “bespoke” the analytical instru-
ment to be applied should be, given the fast pace at which social media practices
and platforms change (Giles et al. 2014: 49). Tools that are designed specifically
for analyzing particular types of social media communication, rather than for
exploring general shifts in meaning-making, risk redundancy. This is particularly
perilous in view of the effort required to develop methods to capture the multi-
modal nature of social media texts.
3. Tracing the historical development of microblogging
3.1. Twitter and older media practices
The attempt to identify its historical antecedents is a characteristic feature of the
initial phases of research into new fields. This also applies to the new technol-
ogy of microblogging and leads to the question how it evolved from older media
practices (see for example Murthy 2013). Commentators have been keen to his-
toricise Twitter in terms of older restricted forms of communication prevalent in
the eighteenth and nineteenth century. These include the telegraph, and forms of
record keeping, such a diaries (Murthy 2013). Unravelling the multidimensional
interaction between the evolution of communicative potential (the meanings we
Twitter 205
can make within a particular culture) and changes in technological platforms sup-
porting communication is no easy task. Historically, communication has always
been intimately connected to the material and semiotic particularities of different
media. This means that, on the one hand, it may be productive to think about the
shifts in meaning potential over time that are afforded by each new reading or
writing technology. However, on the other hand, this line of thinking can tend to
background the fact that the interaction between technical platforms and com-
municative practices is a complex feedback loop, evolving in tandem with other
contextual factors.
Microblogging has now been around long enough that it features a broad range
of human expression, involving a wide range of communicative genres and con-
texts, as noted earlier. Because it spans areas as disparate as personal feelings
about daily routine (Zappavigna, 2014) and discourse about elections (Bruns et
al. 2015), microblogging has been seen as blurring the public and private realm
in novel ways (Baym and boyd 2012). However, public and private domains have
regularly intersected throughout history to differing degrees. Communicative
channels that we might characterise, with modern eyes, as highly personal, such as
diaries, in fact have emerged out of traditions in which diaries were often public
documents intended to be shared (Humphreys et al. 2013). A comparison of tweets
with eighteenth and nineteenth century diaries suggested that both condense per-
sonal experience into small texts intended to be distributed in the public realm,
and thus form part of the history of “personal writing for public consumption”
(Humphreys et al. 2013: 414). What is most distinctive about microblogging, if we
are to situate it within the history of communication, is the level of interactivity
enabled with potential audiences for any given text, and the potential reach of that
text to an audience of millions.
Facebook’s ‘status update’ feature is one of the earliest forms of microblogging
that was available to a large cohort of users. This feature invited users to respond
to the prompt question (sometimes referred to as a tagline) “What are you doing
right now?”. Prior to 2008, responses were restricted to a template featuring the
verb form ‘is’, constraining the type of updates that could be fashioned to posts.
This structure created a relationship of attribution, linking the account profile to
the content of the post. The examples below are posts conforming to this structure
by the author from 2007:
is listening to the rain
is having her morning coffee
And, due to the limitations imposed by the template, ungrammatical constructions
occurred, as in:
is just ate BBQ pineapple
206 Michele Zappavigna
Later, the verb form was abandoned, and the prompt shifted to the command “Share
what’s on your mind”, which allowed any type of grammatical construction in the
response. At the time of writing, the prompt is the question “What’s on your mind?”
The choices in response made available by these “invocations to participation”
(Burgess 2014: 283) offer insight into the types of semiotic behaviour a particular
microblogging service is constructing as normative, as well as the way the service
is hoping to brand itself as a media platform. The restrictions imposed are not nec-
essarily static and “[w]hen they do change, they are often accompanied by public
relations materials alerting us to shifts in business logic” (Burgess 2014: 283).
3.2. The advent of Twitter as a microblogging service
Shortly after status updating on Facebook had begun to develop as a practice,
Twitter, a social media service designed purely for microblogging, was released.
It would emerge as “a key player in the colonization of the internet by corporate
social media” (Sharma 2013: 49). Moving from “a niche service to a mass phe-
nomenon” (Weller et al. 2013: xxix), Twitter has integrated itself into important
domains of social life such as journalism, public communication, politics, and
activism, as well as corporate domains such as market research, advertising, and
branding. It has become largely synonymous in most countries with the broader
practice of microblogging, having outlived other nascent services, with the excep-
tion of China where Sina Weibo is the dominant platform (Weller et al. 2013).
Figure 2 below shows founder Jack Dorsey’s notes relating to the initial design
of Twitter. These are an interesting historical document in terms of the develop-
ment of Twitter as a semiotic platform.
As this image suggests, the initial design concept for Twitter was focused on
the notion that a user has a ‘status’ that they wished to share. The reference to the
chat protocol, jabber, suggests that this concept had been drawn from instant mes-
saging, where a status indicated a user’s conversational availability and was part
of the maintenance of online ‘social presence’ (Baron at al. 2005). For example an
‘away message’, indicating that a user is unavailable might be classed as informa-
tional or expressive (Nastri, Pena and Hancock 2006: 1028):
At the library [informational]
I hate this weather [expressive]
These short texts featured a range of speech functions, with assertives being the
most common type (Nastri, Pena and Hancock 2006). A quick search of Twitter
at the time of writing easily retrieves similar posts to the above away messages,
indicating that this early function remains:
been at the library for 4 hours …
I hate this weather
Twitter 207
Twitter posts, which came to be known as ‘tweets’, were constrained in Dorsey’s
design to 140 characters, in order to allow messages to conform to the 160 char-
acter limit set for SMS on most phones in 2006 (factoring in 20 characters for the
account username). Figure 3 is the first tweet by one of Twitter’s co-founders. The
tweet features a brief message, “Ok we are in the car”, which has been retweeted 8
times, and ‘liked’ 5 times. At this stage of development there was no technical or
communicative convention for replying to other users or aggregating tweets into
types using social tags.
Figure 2. Twitter design notes produced by Jack Dorsey in 2006. Retrieved from
https://www.flickr.com/photos/jackdorsey/182613360/in/photostream/
Figure 3. An example of a tweet. Retrieved from https://twitter.com/biz/statuses/10345
208 Michele Zappavigna
Many early tweets functioned as experiential status updates directly related to
a user’s activities, for example, this tweet from 2006 by Twitter founder Biz Stone:
walking the dog
However, just as the Facebook prompt question evolved, Twitter’s prompt shifted
from “What are you doing?” to “What’s happening?” Users had begun to post
about topical events and a wide range of phenomena not limited to their personal
activities (Tagg 2015). At the same time the business model underlying Twitter,
and also Facebook, began to increasingly rely on forms of data mining used to
collect material relevant to corporations and brands (Burgess 2014).
Figure 4 details the basic functionality of a tweet as made available via the
Twitter website in 2016. Tweets incorporate the user’s account name, username,
and a timestamp indicating when the message was posted, as well as a range of
interactive elements providing options to subscribe to the user’s stream of posts,
or to interact with it in some way. This functionality will look different depending
on how the user is accessing the service, for instance either via the web interface
or by a mobile device, or by using a native or third party application. In addition,
it should be noted that Twitter is a moving target in terms of research, since social
media platforms are constantly evolving alongside shifts in contexts of use (Hogan
and Quan-Haase 2010). While this is essentially the case with any form of commu-
Figure 4. The anatomy of a tweet.
Twitter 209
nication, it is highlighted by social media discourse since constant change seems
to be part of maintaining the popularity or social relevance of the media employed.
4. Twitter communicative conventions
While first generation microblogging services were not designed to directly sup-
port ‘conversational’ exchanges between users, perhaps with the exception of
Jaiku’s (another microblogging service) message threading capabilities, the abil-
ity to reference and address posts to particular users has now become a funda-
mental feature of microblogging. This is part of a more general social need for
microblogging to manage discursive heteroglossia (Kristeva 1980), in other words
to allow users to engage with other voices, opinions, and information available
in the social stream. Bruns and Moe (2014) suggest that there are three struc-
tural layers of communication possible with Twitter, corresponding to the types of
information exchange and user interaction: micro (follower-followee networks),
meso (hashtagged exchanges), and macro (@reply conversations). This section
reviews research into key conventions used in Twitter communication that have
been developed both by the system designers and organically through community
use. As Zappavigna (2012) notes, these conventions center around three linguistic
markers: addressing and referencing other users with @, republishing other tweets
with RT, and labelling topics with #.
4.1. Addressivity and @mentions
The first convention marks address with the @ character when a user wishes
to explicitly direct their micropost at another user. In these instances @ will be
deployed as a deictic marker, as in the following example:
@User1 there will always be time for #coffee #beer and #wine ☺
Used in this way, the @ character indicates that the username which it precedes
is directly addressed in the tweet.4 As such it functions to mark a vocative, often
occupying initial position in a clause, though it also can occur in medial or final
position. When not in initial position, @+username is more likely to indicate a
reference to a particular user rather than to explicitly inscribe a direct address. For
example:
Tried to make coffee this am..complete user malfunction – coffee ALL over the kitchen
counter..leaving that job to @User2 from now on
4 All usernames in this chapter have been anonymized.
210 Michele Zappavigna
This tweet is not directly addressing ‘User2’ and instead indirectly refers to this
user with what is termed a ‘mention’.
Mentioning a user with the @ character in this way is a kind of ‘amplified’
reference and potential tool for self-promotion since, depending on privacy set-
tings and the evolving functionality of Twitter, other users who follow this user
may view the mention. The @mention is also amplified in the sense that the @
character is searchable. Mentions can be aggregated and other users can search
for particular instances. It is possible to retrieve all instances of @mentions to a
given user (within a particular time window) with the Twitter search interface or
using metadata and the Twitter API. Twitter is, however, continually modifying
how it deals with @mentions in terms of who will see a conversational exchange
in their feed (e.g. only direct followers of one of the participants), presumably in
an attempt to predict the interests/attention span of its users.
Honeycutt and Herring (2009: 4) provide an overview of the various uses of
the @ character throughout digital communication (examples added):
Addressivity
@User3 I wish I could bring you bagels and coffee. Thinking of you.
Reference
Coffee and pseudo-dinner with @User4 lol. Work talk, makes you think. Change can
go both ways.
Emoticons
Will have a cup of coffee and cookies for breakfast then I’ll be fixing myself. Lazy
bum. @_@
Email
user@email.com
Locational ‘at’
Bought pear balsamic @ the Oilerie. Eating @ door county coffee co. Eyeing up hub-
by’s Reuben.
Non-locational ‘at’
i kno my co-wrkr jst bodied a red bull, a mountain dew, aaand a coffee all @ once …
he goes hard
Other
Forgot all about instant coffee, JEBUS how do they make that cr@! ?
Taking into account current Twitter usage, the @ character seems to be trans-
formed into an increasingly interpersonal resource. This follows a general trend in
the evolution of punctuation identified by Knox (2009), namely an evolution from
textual functions toward more interpersonal functions, and toward the service of
social affiliation (Zappavigna 2015).
Twitter 211
4.2. Retweeting
Another way of bringing external voices into a tweet is to republish another user’s
tweet within your own tweet. This is known as ‘retweeting’ and is usually marked
by the initialism, RT, to indicate that the body of the tweet is quoted text. In other
words, RT marks grammatical projection, economically standing for ‘User X has
posted the following’. In most instances RT will be followed by the @ character to
attribute the retweeted text to its original author, @User1 in the below:
RT @User1: Packed up and heading to Lake Tahoe. Need. Coffee.
Sometimes retweets are used in a similar way to the reply function:
Of course NOT I’m not expecting miracles LOL! RT @UserA: @UserB what you
kicked the coffee habit ? lol
Ha ha yes come to San Diego and I’ll pay for it :] RT @ddlovato: Power through, power
through, power though.. coffee anybody?! haha
The way that Twitter handles retweeting has evolved with the functionality of
the service, from manual retweets (RT @User, as in the above tweet), to native
retweeting by clicking an icon present at the bottom of each tweet (when accessed
via the web interface) (see Figure 4).
Retweeting “allows members to relay or forward a tweet through their net-
work” (Nagarajan, Purohit and Sheth 2010: 295), marking the quoted text as nota-
ble and effectively recommending it to their followers. It can significantly amplify
the reach of a tweet, particularly when a user with a large body of followers, such
as a celebrity, chooses to retweet something. Beyond rebroadcasting, retweeting
“contributes to a conversational ecology in which conversations are composed of a
public interplay of voices that give rise to an emotional sense of shared conversa-
tional context” (boyd, Golder and Lotan 2010: 1). The convention marks a tweet as
worth of the attention within this conversational context and allows the retweeter
to display a stance toward the retweeted text and project it as valuable to the com-
munity, whether in terms of merit or notoriety. For example, the underlined text in
the following has been appended to the original tweet by the retweeter:
Love this! RT @User: Just paid for the couple behind us coffee at starbucks. I encour-
age you all to pay it forward too.
This kind of evaluative appendage has also been noted by Page (2012b) who,
approaching media from the perspective of narrative, has suggested the role of
retweeting in new ‘co-tellership practices’ and noted the tendency of celebrities to
append evaluative assessment to their retweets as a means of aligning with their
audience.
Some studies have explored how often posts are retweeted, for instance as
a measure of success in activism (Potts et al. 2014: 66). While retweeting is an
212 Michele Zappavigna
important way to expand the reach of a tweet to new audiences, it also can be
part of establishing and maintaining social relationships (Boyd, Golder and Lotan
2010). Puschmann (2015) claims that community structure can, to varying extents,
be predicted by the social use of quotation. His study identifies four functions of
retweeting: passing on information, commenting or responding, presenting one’s
own interests, and building social capital (Puschmann 2015).
4.3. Hashtagging and ‘searchable talk’
The drive to make our opinions and emotions readily findable has become an
important social preoccupation, realized in social media as what Zappavigna
(2012; 2015) refers to as ‘searchable talk’, discourse that relies on forms of social
tagging to create alignments with potential audiences. Social tagging is the prac-
tice of appending user-generated metadata (often referred to as social metadata)
to social media texts. An early example is Flickr tags for annotating photos (Bar-
ton 2015). Social tagging has been described as “conversational tagging” (Huang,
Thornton and Efthimiadis 2010) since, in microblogging environments at least,
tags often have a function beyond classification through taxonomies or folkson-
omies5 and facilitate forms of mass ‘conversation’ since “the ‘globally public by
default’ nature of tweets lends itself to the development of means for automatically
organising discussions of specific topics through shared conversation markers”
(Bruns 2012: 1324). Tags can be conversational in the sense that they help users
to engage with topics receiving broad interest, and also, more locally, to produce
interpersonal meanings through forms of metacommentary and linguistic play, as
we will see later in this section.
A dominant form of social metadata is the hashtag, which has received exten-
sive attention in social media research, both due to the interesting new commu-
nicative affordances it has offered users, and because it provides researchers with
5 The kind of collaborative tagging evolving with community use in social media is often
referred to as a practice of ‘folksonomy’ (Vander Wal 2007) or social tagging very dif-
ferent to the top-down hierarchical approaches of traditional document classification.
Whereas document classification involves experts, social tagging engages communities
of general users. For example, it is used heavily on photo sharing sites such as Flickr
where it functions as a cooperative form of verbal indexing involving a ‘bottom-up’
approach to the kind of classification previously achieved by reference librarians.
Indeed, hashtags have been likened to the concept “better known to librarians as a
subject heading” (Ovadia 2009: 203). The tags assigned provide “access to the reader’s
view of aboutness in a way which was previously possible only on a small scale through
elicitation experiments” (Kehoe and Gee 2011).
Twitter 213
an efficient means6 of collecting discourse about a particular topic, person or
event.7 This also includes studies of the veracity and reliability of information
annotated with hashtags in relation to the problems that can be caused by various
kinds of inconsistencies in formats and conventions, the tendency of tags to prolif-
erate, become redundant, or be misused and hijacked. Linguistic studies of hash-
tags have been studied in relation to a wide range of contexts including transla-
tion (Carter, Tsagkias and Weerkamp 2011), inferential processes in reading (Scott
2015), self-branding and microcelebrity (Page 2012b), bullying discourse (Calvin
et al. 2015), digital libraries (Schlesselman-Tarango 2013), and political memes
(Zhu 2015). Zappavigna (2015) explores the different linguistic functions that can
be employed using a hashtag, noting their linguistic flexibility and tendency to
be employed interpersonally in the service of social affiliation through forms of
metacommentary. Similarly, adopting a pragmatic perspective, Scott (2015) and
Wikström (2014) have noted that hashtags perform significant functions beyond
facilitating search, and “have been appropriated by users to perform other roles in
the communicative process” (Scott 2015: 19).
As the name implies, a hashtag is prefixed with a hash symbol marking the
label appended to the tweet. This symbol may be followed by a keyword or con-
catenated phrase or clause, as in the following examples:
I have a feeling about today, it is either going to take lots of #coffee or #beer ?
French Press coffee is the jam. #ilovecoffee
The hashtag emerged through community-use on Twitter and the concept may
derive from Internet Relay Chat (IRC) conventions for naming channels (#chan-
nelname), where a channel is the essential mechanism that people use to communi-
cate with each other during an IRC session. Hashtagging is not restricted to Twitter
and occurs across a range of social media platforms, including image-focused ser-
vices such as Instagram (Highfield and Leaver 2014), notorious for the tendency
for users to employ excessive numbers of tags, for instance a picture of a cup of
coffee accompanied by the following tags:
6 A limitation of such hashtag-based research is that it does not necessarily capture all
the communication surrounding the primary media, since there will be posts that do not
use the hashtag, and, in particular, reply-posts may omit the tag. However, hashtags do,
at the very least, make obtaining a snapshot of particular discourse at a particular time
achievable.
7 For example, see work on election hashtags such as studies of the Australian #auspol
and #ausvotes hashtags (Bruns, Burgess and Highfield 2014; Sauter and Bruns 2015;
Zappavigna 2014).
214 Michele Zappavigna
#coffee #mocha #soymocha #skittlelane #skittlelanecoffee #coffeetime #morningcoffee
#coffeelovers #coffeelove #cafe #sydneycafe #sydneycafes #sydneyfoodie #sgfoodies
#coffeeadventure #cafehopping #mytaveldiary #mytravelgram #visualdiary
While metadata has a long history in the domain of information management,
this is the first historical period where we see it so closely tied to enacting social
relations, having extended its semiotic reach as an information-organising tool to a
social resource for building relationships and communities (Zappavigna 2015). As
Barton (2015: 64) has noted, “[t]here are many things going on in tagging spaces
and it is not just about taxonomies, nor just about folksonomies”. Annotating posts
with hashtags is a form of linguistic innovation (Cunha et al. 2011) and is unfold-
ing as a means of expressing more than just the ‘aboutness’ of a social media text
(Kehoe and Gee 2011). In a study comparing celebrity and ordinary users, Page
(2012b: 187) classifies hashtags into two functional types: topic hashtags cate-
gorising a tweet “in the manner of folksonomic tagging” and evaluative hashtags
“expressing an evaluative sentiment”. Evaluative hashtags are associated with the
broader practice of using social tags for metacommentary, often for humorous
effect as the contemporary equivalent of postmodern quotation marks for signal-
ling ironic or self-conscious distance (Scheible 2015).
An important function which hashtags have evolved to perform, beyond clas-
sification, is construing forms of metacommentary, particularly evaluative meta-
commentary. Some studies have drawn on the pragmatic insights offered by speech
act theory, initially developed to understand face to face communication:
[…] meta-comment tags may be understood in terms of hedging, disclaiming and man-
aging face, through the exploitation or flouting of maxims. The parenthetical explana-
tions are analyzed as providing background information which is sometimes crucial to
clarifying utterance force, but other times supplemental. The emotive and emphatic tags
are analyzed mostly in terms of how they strengthen or change the illocutionary force of
utterances, often in a manner reminiscent of the work done by non-verbal cues in face-
to-face conversation. The humorous and playful uses of hashtags can be understood in
terms of maxim-flouting and the exploitation of background knowledge. (Wikström
2014: 149–50)
Adopting this type of perspective, Wikström (2014: 130) argues that hashtags can
be grouped into a range of types (examples added):
topic tags, where the topic is designated by the hashtag:
I hate being ‘twired’ where I am awake because of stimulants, but actually tired. #coffee
#sleep
hashtag games, similar to topic hashtags in terms of categorising function, but
with the aim of participating in a social game:
When I say I’m great at customer service, I mean I can fake a great smile and only
scream on the inside. #BaristaProblems
Twitter 215
I hate every last one of you. Every. last. One. #baristaproblems
Stop ordering fraps. #baristaproblems
meta-comments, where the hashtag makes a comment on the content of the
tweet itself rather than creating an association with other tweets:
yeah i order a small coffee at the daily drip but grab a large cup, so what? #idont-
giveafuck
parenthetical explanations/additions, where the hashtag adds information
explaining the tweet:
I’m in a pub at 10:20 on a Friday am. Today will be a good day haha #drinkingcoffee
emotive usage, where the hashtag supports emotional expression that might
otherwise be realised through some form or paralinguistic cue:
@4james When I worked in offices, I felt like I was the ONLY ONE who ever made
coffee. #sigh #ifeelyourpainbrother
emphatic usage, where the hashtag realises some form of intensification:
WTF! The coffee machine is broken! I can’t work under these circumstances. #wtfwtf-
wtfwtfwtfwtfwtfwtfwtfwtf
humorous and playful usage, including hashtags that support some form of
joke structure, hyperbole, or self-conscious humourous self-reference, for
example through excessive hashtagging:
Guys my coffee cup is empty WHAT SHOULD I DO #ifiwasonaforum #thiswould-
beanentirewebcomic #iamnotkidding #thishappens #ohno #theinternet
memes and popular culture references, where knowledge of a particular cul-
tural trend is needed to interpret the tag. An example explored by Zappavigna
(2012) is employing the fail meme as a kind of humourous self-deprecation
no water nor coffee, me thirsty and sleepy #fail
Some studies have noted that hashtags have the additional function of forming
communities (Yang et al. 2012) or ‘publics’ (Bruns and Burgess 2011), often
through supporting visibility and participation (Page 2012b). Lin et al. 2013: 1–2)
propose that hashtags “are more than labels for contextualizing statements, objects
for bookmarking, or channels for sharing information, but they are active virtual
sites for constructing communities”, where they are able to be used to monitor
“on-going conversations” and “communicate non-verbal cues such as irony”. Just
how to explore the linguistic realization of ambient communities is a key and
emerging area of current research.
216 Michele Zappavigna
5. Conclusion: towards understanding ambient affiliation
This chapter has provided an overview of linguistic research into microblogging
and Twitter. The studies surveyed have explored how experience is construed in
microblogging texts, drawing on a range of linguistic perspectives. However, this
is only part of the picture. While most studies make some reference to the cen-
tral function that forging community plays in microblogging, systematic linguis-
tic models of affiliation are still in development. There has been a long-standing
interest both within and outside linguists in the shared communicative strategies
that might characterize communities of language users, variously theorized as
‘discourse communities’ (Bizzell 1992) and ‘communities of practice’ (Wenger
1998).8 Language is resplendent with resources for negotiating community, such
as naming practices, slang, and all kinds of variation across phonology, grammar,
and semantics that characterise different personae and groups (Martin 2010). In
Chapter 16 (this volume) on evaluation, I expand some of the perspectives intro-
duced here to account for the important role that evaluative language has in shar-
ing feeling and forging social alignments in social media discourse.
The challenge for social media researchers is to model how microbloggers
discursively negotiate their communal identites through sharing ‘bonds’ that con-
situte the value sets of communities and cultures (Knight 2010). In other words
this is a challenge of understanding what Zappavigna (2011, 2012, 2014a, 2014b)
terms ‘ambient affiliation’: social bonding where microbloggers as individuals do
not necessarily have to interact directly, but may engage in mass practices such as
hashtagging in order to participate in particular kinds of ‘belonging’. As an object
of study, microblogging offers a rare opportunity to the linguist to track the par-
ticular configurations of shared social bonds as they emerge and unfold. In part,
this is because the brevity enforced by the medium goes some very small way to
reducing complexity of the endeavour, and because the affordances of the channel
mean that we can collect large volumes of textual interactions that give us insight
into both individual and communal linguistic disposition.9 This gives us some
ability to gain a window on what Firth has referred to as the “general language
of the community” that governs each person’s “command of a constellation of
restricted languages” (Firth 1968: 207) (see also Zappavigna, Ch. 16, this volume).
8 For an overview of these concepts see Prior (2003).
9 This disposition is informed by a persona’s particular semiotic ‘repertoire’ that arises
out of the potential semiotic ‘reservoir’ available via their membership in a given com-
munity (Bernstein 2000).
Twitter 217
References
Adnan, Muhammad, Paul Longley and Shariq M. Khan
2014 Social dynamics of Twitter usage in London, Paris, and New York City. First
Monday 19(5). Available at http://firstmonday.org/ojs/index.php/fm/article/
view/4820/4083.
Androutsopoulos, Jannis
2014 Moments of sharing: Entextualization and linguistic repertoires in social net-
working. Journal of Pragmatics 73: 4–18.
Artemeva, Natasha
2015 Genre and identity in social media. In: Natasha Artemeva and Aviva Freed-
man (eds.), Genres Studies Around the Globe: Beyond the Three Traditions,
275–298. Edmonton, AB: inkshed Publications.
Baker, Paul and Anthony McEnery
2015 Who benefits when discourse gets gemocratised? Analysing a Twitter cor-
pus around the British Benefits Street debate. In: Paul Baker and Anthony
McEnery (eds.), Corpora and Discourse Studies: Integrating Discourse and
Corpora, 244–265. London: Palgrave Macmillan. http://doi.org/10.1057/
9781137431738_12.
Bernstein, Basil
2000 Pedagogy, Symbolic Control and Identity: Theory, Research, Critique. Lon-
don: Taylor and Francis.
Bizzell, Patricia
1992 What is a Discourse Community. In: Patricia Bizzell, Academic Discourse and
Critical Consciousness, 222–237. Pittsburgh: University of Pittsburgh Press.
Baron, Naomi., Lauren Squires, Sara Tench and Marshall Thompson
2005 Tethered or mobile? Use of away messages in instant messaging by American
college students. In: Rich Ling and Per Pedersen (eds.), Mobile Communica-
tions: Re-negotiation of the Social Sphere, 293–311. London: Springer.
Barton, David
2015 Tagging on Flickr as a social practice. In: Rodney H. Jones, Alice Chik and
Christoph A. Hafner (eds.), Discourse and Digital Practices: Doing Discourse
Analysis in the Digital Age, 48–65. London: Routledge.
Bamman, David, Jacob Eisenstein and Tyler Schnoebelen
2014 Gender identity and lexical variation in social media. Journal of Sociolinguis-
tics 18(2): 135–160.
Baym, Naomi and danah boyd
2012 Socially mediated publicness: An introduction. Journal of Broadcasting and
Electronic Media 56(3): 320–329.
Bolander, Brook and Miriam Locher
2014 Doing sociolinguistic research on computer-mediated data: A review of four
methodological issues. Discourse, Context and Media 3(1): 14–26.
boyd, danah
2011 Social network sites as networked publics: Affordances, dynamics, and impli-
cations. In: Zizi Papacharissi (ed.), A Networked Self: Identity, Community,
and Culture on Social Network Sites, 39–58. Oxford: Routledge.
218 Michele Zappavigna
boyd, danah, Scott Golder and Gilad Lotan
2010 Tweet, tweet, retweet: Conversational aspects of retweeting on Twitter. Pro-
ceedings of the 43rd Annual Hawaii International Conference on System
Sciences, 1–10. Available at http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnum-
ber=5428313.
Bruns, Axel
2012 How long is a tweet? Mapping dynamic conversation networks in Twitter using
Gawk and Gephi. Information, Communication and Society 15(9): 1323–1351.
Bruns, Axel and Jean Burgess
2011 The use of Twitter hashtags in the formation of ad hoc publics. Paper pre-
sented at the European Consortium for Political Research Conference, Rey-
kjavik, 25–27. Available at http://eprints.qut.edu.au/46515/
Bruns, Axel, Jean Burgess and Tim Highfield
2014 A “Big Data” approach to mapping the Australian twittersphere. In: Paul
Longley Arthur and Katherine Bode (eds.), Advancing Digital Humanities:
Research, Methods, Theories, 113–129. London: Palgrave Macmillan.
Bruns, Axel, Gunn Enli, Eli Skogerbo, Anders Olof Larsson and Christian Christensen
(eds.)
2015 The Routledge Companion to Social Media and Politics. New York/London:
Routledge.
Bruns, Axel and Hallvard Moe
2014 Structural layers of communication on Twitter. In: Katrin Weller, Axel Bruns,
Jean Burgess, Merja Mahrt and Cornelius Puschmann (eds.), Twitter and Soci-
ety, 15–28. New York: Peter Lang.
Burgess, Jean
2014 From “Broadcast yourself” to “Follow your interests”: Making over social
media. International Journal of Cultural Studies 18(3): 281–285.
Calvin, Angela., Amy Bellmore, Jun-Ming Xu and Xiaojin Zhu
2015 #bully: Uses of hashtags in posts about bullying on Twitter. Journal of School
Violence 14(1): 133–153.
Carter, Simon, Manos Tsagkias and Wouter Weerkamp
2011 Twitter hashtags : Joint translation and clustering. Proceedings of the ACM
WebSci’11, June 14–17 2011, Koblenz, Germany, 1–3. Available at http://
www.websci11.org/fileadmin/websci/Posters/125_paper.pdf.
Cole-Lewis, Heather, Jillian Pugatch, Amy Sanders, Arun Varghese, Susana Posada, Chris-
topher Yun, Mary Schwarz and Erik Augustson
2015 Social listening: A content analysis of e-cigarette discussions on Twitter. Jour-
nal of Medical Internet Research 17(10). doi: 10.2196/jmir.4969.
Cunha, Evandro, Gagno Magno, Giovanni Comarela, Virgilio Almeida, Marcos André
Gonçalves and Fabricio Benevenuto
2011 Analyzing the dynamic evolution of hashtags on Twitter: A language-based
approach. Proceedings of the Workshop on Language in Social Media LSM
2011, 58–65. Stroudsburg, PA: Association for Computational Linguistics.
Dayter, Daria
2014 Self-praise in microblogging. Journal of Pragmatics 61: 91–102.
Dayter, Daria
2015 Small stories and extended narratives on Twitter. Discourse, Context and
Media 10: 19–26.
Twitter 219
Firth, John Rupert
1968 Selected Papers of J. R. Firth, 1952–1959. Bloomington: Indiana University
Press.
Giles, David, Wyke Stommel, Trena Paulus, Jessica Lester, and Darren Reed
2014 Microanalysis of online data: The methodological development of “Digital
CA.” Discourse, Context and Media 7: 45–51.
Holotescu, Carmen and Gabriela Grosseck
2009 Indicators for the analysis of learning and practice communities from the per-
spective of microblogging as a provocative sociolect in virtual space. Con-
ference Proceedings of eLearning and Software for Education (eLSE) 01:
163–174. Bucharest: Universitatea Nationala de Aparare Carol I.
Hambrick, Marion, Jason Simmons, Greg Greenhalgh and Christopher Greenwell
2010 Understanding professional athletes’ use of Twitter: A content analysis of ath-
lete tweets. International Journal of Sport Communication 3(4): 454–471.
Hardaker, Claire and Mark McGlashan
2016 “Real men don’t hate women”: Twitter rape threats and group identity. Journal
of Pragmatics 91: 80–93.
Highfield, Tim
2015 Tweeted joke lifespans and appropriated punch lines: Practices around topi-
cal humor on social media. International Journal of Communication 9(22):
2713–2734.
Highfield, Tim and Tama Leaver
2014 A methodology for mapping Instagram hashtags. First Monday 20(1).
Available at http://www.firstmonday.dk/ojs/index.php/fm/article/view/5563/
4195.
Highfield, Tim and Tama Leaver
2016 Instagrammatics and digital methods: Studying visual social media, from
selfies and GIFs to memes and emoji. Communication Research and Practice
2(1): 47–62.
Highfield, Tim, Stephen Harrington and Axel Bruns
2013 Twitter as a technology for audiencing and fandom: The #Eurovision phenom-
enon. Information, Communication and Society 16(3): 315–339.
Hogan, Bernie and Anabel Quan-Haase
2010 Persistence and change in social media. Bulletin of Science, Technology and
Society 30 (5): 309–315.
Honeycutt, Courenay and Susan Herring
2009 Beyond microblogging: Conversation and collaboration via Twitter. Proceed-
ings of the 42nd Annual Hawai’i International Conference on System Sciences,
1–10. doi: 10.1109/HICSS. 2009.89.
Huang, Jeff, Katherine Thornton and Efthimis Efthimiadis
2010 Conversational tagging in Twitter. Proceedings of the 21st ACM Conference
on Hypertext and Hypermedia – HT ’10 ACM: 73–178. doi: 10.1145/1810617.
1810647.
Humphreys, Lee, Phillipa Gill, Balachander Krishnamurthy and Elizabeth Newbury
2013 Historicizing new media: A content analysis of Twitter. Journal of Com-
munication 63(3): 413–431.
220 Michele Zappavigna
Java, Ashkay, Xiaodan Song, Tim Finin and Belle Tseng
2009 Why we twitter: An analysis of a microblogging community. Lecture Notes in
Computer Science (Including Subseries Lecture Notes in Artificial Intelligence
and Lecture Notes in Bioinformatics) Vol. 5439 LNAI: 118–138. Berlin/Hei-
delberg: Springer. doi: 10.1007/978-3-642-00528-2_7.
Kehoe, Andrew and Matt Gee
2011 Social tagging: A new perspective on textual ‘aboutness’. In: Paul Rayson,
Sebastian Hoffmann and Geoffrey Leech (eds.), Studies in Variation, Contacts
and Change in English. Volume 6: Methodological and Historical Dimensions
of Corpus Linguistics, Helsinki: University of Helsinki. Available at http://
www.helsinki.fi/varieng/series/volumes/06/kehoe_gee/.
Kelsey, Darren and Lucy Bennett
2014 Discipline and resistance on social media: Discourse, power and context in
the Paul Chambers “Twitter Joke Trial”. Discourse, Context and Media 3(1):
37–45.
Knight, Naomi
2010 Wrinkling complexity: Concepts of identity and affiliation in humour. In:
Monika Bednarek and James R. Martin (eds.), New Discourse on Language:
Functional Perspectives on Multimodality, Identity, and Affiliation, 35–58.
London/New York: Continuum.
Knox, John
2009 Punctuating the home page: Image as language in an online newspaper. Dis-
course and Communication 3(2): 19–53.
Kristeva, Julia
1980 The bounded text. In: Leon S. Roudiez (ed.), Desire in Language: A Semiotic
Approach to Literature and Art, 36–63. New York: Columbia University Press.
Kytölä, Samu and Elina Westinen
2015 “I be da reel gansta” – A Finnish footballer’s Twitter writing and metaprag-
matic evaluations of authenticity. Discourse, Context and Media 8: 6–19.
Labov, William and Joshua Waletzky
1967 Narrative analysis. In: June Helm (ed.), Essays on the Verbal and Visual Arts,
12–44. Seattle: University of Washington Press.
Lee, Carmen
2011 Micro-blogging and status updates on Facebook: Texts and practices. In:
Crispin Thurlow and Kristine Mroczek (eds.), Digital Discourse: Language in
the New Media, 110–128. Oxford: Oxford University Press.
Lin, Yu-Ru, Drew Margolin, Brian Keegan, Andrea Baronchelli and David Lazer
2013 #Bigbirds never die: Understanding social dynamics of emergent hashtag.
Proceedings of the 7th International AAAI Conference on Weblogs and Social
Media (ICWSM 2013). Available at https://arxiv.org/abs/1303.7144.
Martin, James
2010 Semantic variation: Modelling system, text and affiliation in social semiosis.
In: Monika Bednarek and James Martin (eds.), New Discourse on Language:
Functional Perspectives on Multimodality, Identity, and Affiliation, 1–34.
London: Continuum.
Martin, James, Michele Zappavigna, Paul Dwyer and Chris Cléirigh
2013 Users in uses of language: Embodied identity in youth justice conferencing.
Text and Talk 33(4–5): 467–496.
Twitter 221
Miller, Vincent
2008 New media, networking and phatic culture. Convergence: The International
Journal of Research into New Media Technologies 14 (4): 387–400.
Murthy, Dhiraj
2013 Twitter: Social Communication in the Twitter Age. Cambridge: Polity Press.
Nagarajan, Meenakshi, Hemant Purohit and Amit Sheth
2010 A qualitative examination of topical tweet and retweet practices. Paper pre-
sented at the Fourth International AAAI Conference on Weblogs and Social
Media, Washington, D.C. Available at http://www.aaai.org/ocs/index.php/
ICWSM/ICWSM10/paper/download/1484/1880/.
Nastri, Jacqueline, Jorge Pena and Jeffrey Hancock
2006 The construction of away messages: A speech act analysis. Journal of Comput-
er-Mediated Communication 11(4): 1025–1045.
Neubig, Graham and Kevin Duh
2013 How much is said in a tweet? A multilingual, information-theoretic perspec-
tive. AAAI Spring Symposium: Analyzing Microtext, 32–39. Available at http://
www.phontron.com/paper/neubig13sam.pdf.
Ovadia, Steven
2009 Exploring the potential of Twitter as a research tool. Behavioral and Social
Sciences Librarian 28(4): 202–205.
Page, Ruth
2010 Re-examining narrativity: Small stories in status updates. Text and Talk 30(4):
423–444.
Page, Ruth
2012a Stories and Social Media: Identities and Interaction. London: Routledge.
Page, Ruth
2012b The linguistics of self-branding and micro-celebrity in Twitter: The role of
hashtags. Discourse and Communication 6(2): 181–201.
Page, Ruth
2014 Saying ‘sorry’: Corporate apologies posted on Twitter. Journal of Pragmatics
62: 30–45.
Page, Ruth, David Barton, Johann Wolfgang Unger and Michele Zappavigna
2014 Researching Language and Social Media: A Student Guide. London: Routledge.
Popescu, Ana-Maria and Marco Pennacchiotti
2010 Detecting controversial events from Twitter. Proceedings of the 19th ACM
International Conference on Information and Knowledge Management –
CIKM ’10, 1873–1876. doi: 10.1145/1871437.1871751.
Potts, Amanda, Will Simm, Jon Whittle and Johann Wolfgang Unger
2014 Exploring “success” in digitally augmented activism: A triangulated approach
to analyzing UK activist Twitter use. Discourse, Context and Media 6: 65–76.
Potts, Liza, Joyce Seitzinger, Dave Jones and Angela Harrison
2011 Tweeting disaster: Hashtag constructions and collisions. Proceedings of the
29th Annual International ACM SIGIR Conference on Research and Develop-
ment in Information Retrieval, 235–240. doi: 10.1145/2038476.2038522.
Prior, Paul
2003 Are communities of practice really an alternative to discourse communities.
Paper Presented at the Meeting of the American Association of Applied Lin-
222 Michele Zappavigna
guistics, Arlington, VA. Available at http://www.semremtoo.org/Prior/home/
PriorAAAL03.pdf.
Puschmann, Cornelius
2015 The form and function of quoting in digital media. Discourse, Context and
Media 7: 28–36.
Ritter, Alan, Colin Cherry and Bill Dolan
2010 Unsupervised modeling of Twitter conversations. In: Human Language Tech-
nologies: The 2010 Annual Conference of the North American Chapter of the
Association for Computational Linguistics, Los Angeles, California.
Sauter, Theresa and Axel Bruns
2015 #auspol: The hashtag as community, event, and material object for engaging
with Australian politics. In: Nathan Rambukkana (ed.), Hashtag Publics: The
Power and Politics of Discursive Networks, 47–60. New York: Peter Lang.
Scheible, Jeff
2015 Digital Shift: the Cultural Logic of Punctuation. Minneapolis: University of
Minnesota Press.
Schlesselman-Tarango, Gina
2013 Searchable signatures: Context and the struggle for recognition. Information
Technology and Libraries 32(3): 5–19.
Schmidt, Jan-Hinrik
2014 Twitter and the rise of personal publics. In: Katrin Weller, Axel Bruns, Jean
Burgess, Merja Mahrt and Cornelius Puschmann (eds.), Twitter and Society,
3–14. New York: Peter Lang.
Scott, Kate
2015 The pragmatics of hashtags: Inference and conversational style on Twitter.
Journal of Pragmatics 81: 8–20.
Seargeant, Phillip and Caroline Tagg (eds.)
2014 Language and Social Media: Communication and Community Online. Lon-
don: Palgrave.
Sharma, Sanjay
2013 Black Twitter?: Racial hashtags, networks and contagion. New Formations: A
Journal of Culture/Theory/Politics 78(1): 46–64.
Shaw, Frances, Jean Burgess, Kate Crawford and Axel Bruns
2013 Sharing news, making sense, saying thanks: Patterns of talk on Twitter dur-
ing the Queensland floods. Australian Journal of Communication.40 (1): 23–
40.
Sifianou, Maria
2015 Conceptualizing politeness in Greek: Evidence from Twitter corpora. Journal
of Pragmatics 86: 25–30.
Starbird, Kate, Leysia Palen, Amanda Hughes and Sarah Vieweg
2010 Chatter on the red: What hazards threat reveals about the social life of
microblogged information. Proceedings of the 2010 ACM Conference on Com-
puter-supported Cooperative Work, 241–250. doi: 10.1145/1718918.1718965.
Tagg, Caroline
2015 Exploring Digital Communication: Language in Action. London: Routledge.
Vander Wal, Thomas
2007 Folksonomy. Available at http://vanderwal.net/folksonomy.html.
Twitter 223
Weller, Katrin, Axel Bruns, Jean Burgess, Merja Mahrt and Cornelius Puschmann
2013 Twitter and society: An introduction. In: Katrin Weller, Axel Bruns, Jean Bur-
gess, Merja Mahrt and Cornelius Puschmann (eds.), Twitter and Society, xxix–
xxxviii. New York: Peter Lang.
Wenger, Etienne
1998 Communities of Practice: Learning, Meaning, and Identity. Cambridge: Cam-
bridge University Press.
West, Laura
2013 Facebook sharing: A sociolinguistic analysis of computer-mediated storytell-
ing. Discourse, Context and Media 2(1): 1–13.
Wikström, Peter
2013 & she was like “O_O”: Animation of reported speech on Twitter. Nordic Jour-
nal of English Studies 13(3): 83–111.
Wikström, Peter
2014 #srynotfunny : Communicative functions of hashtags on Twitter. SKY Journal
of Linguistics 27: 127–152.
Yang, Lei, Tao Sun, Ming Zhang and Qiaozhu Mei
2012 We know what@ you# tag: Does the dual role affect hashtag adoption? Pro-
ceedings of the 21st International Conference on World Wide Web, Lyon,
16–20 April 2012, 261–270. doi: 10.1145/2187836.2187872.
Zappavigna, Michele
2011 Ambient affiliation: A linguistic perspective on Twitter. New Media and Soci-
ety 13(5): 788–806.
Zappavigna, Michele
2012 Discourse of Twitter and Social Media: How We Use Language to Create Affil-
iation on the Web. London: Bloomsbury.
Zappavigna, Michele
2013 Coffee tweets: Bonding around the bean on Twitter. In: Philip Seargeant and
Caroline Tagg (eds.), The Language of Social Media: Communication and
Community on the Internet, 137–160. London: Palgrave Macmillan.
Zappavigna, Michele
2014a Ambient affiliation in microblogging: Bonding around the quotidian. Media
International Australia 151: 97–103.
Zappavigna, Michele
2014b Enacting identity in microblogging through ambient affiliation. Discourse and
Communication 8(2): 209–228.
Zappavigna, Michele
2014c Enjoy your snags Australia … oh and the voting thing too #ausvotes #auspol:
Iconisation and affiliation in electoral microblogging. Global Media Journal:
Australian Edition 8(2): 1–18.
Zappavigna, Michele
2015 Searchable talk: The linguistic functions of hashtags. Social Semiotics 25(3):
274–291.
Zhao, Dejin and Mary Beth Rosson
2009 How and why people Twitter: The role that micro-blogging plays in informal
communication at work. Proceedings of the ACM 2009 International Con-
ference on Supporting Group Work, 243–252. Sanibel Island, FL: ACM. doi:
10.1145/1531674.1531710.
224 Michele Zappavigna
Zhu, Hongqiang
2015 Searchable talk as discourse practice on the Internet : The case of “#binders-
fullofwomen”. Discourse, Context and Media 12: 87–98
Article
On 02.06.2020, the social media team of the Deutsche Bahn, the German railway company, announced on Twitter that for a three-month launching phase, they would use the singular T-form du to address their customers. On the basis of a corpus of public tweets analyzed as metapragmatic comments, I examine which stances users adopt and what these stances tell us about how the German-speaking Twittersphere metapragmatically assesses the appropriateness of pronouns of address in social networks. I show how the shift to the T-form is well accepted only if restricted to Twitter, while being strongly disfavored and deemed inappropriate if understood against the background of a customer-client's relation. While the users in favor of the V-form present their arguments in a direct way, most users who plead for the T-form resort to irony and banter, thus constructing the online persona of ‘cool’ people aware of appropriateness norms on social media. I conclude by showing how the clash between antagonistic — and possibly irreconcilable — positions can then be framed as a conflict between globalized norms fostering the use of T-forms as a conventionalized practice on social media and local norms of politeness, as the V-form remains the unmarked way of addressing an unknown adult in Germany.
Article
Self-referential third-person predications functioning as stand-alone virtual performatives, such as ∗shrugs∗, abound across modes of computer-mediated communication and interactive multimodal platforms. Their continued use, commonly involving manual addition of typographic elements, testifies to non-trivial communicative needs not satisfied by easy access to graphical icons, like the shrug emoji. This study investigates their contributions to the construction of face in mass messaging. Focusing on face-work practices on Twitter, the aim is to account for ways in which users employ virtual performatives in that noisy, opaque, and socially complex environment. Virtual performatives are examined in a sample of publicly visible tweets which are not retweets or replies to other users and do not contain names of people. Manifesting minimal addressivity, the constructions are shown to rely on self-reference for face-work, inviting imagined audiences of the like-minded to treat the action or emotion thus enacted virtually by an externalized self as something they can relate to. Virtual performatives are inherently playful, and the humour conveyed in the tweets including them is predominantly benevolent and tolerant. A central finding is the conspicuous presence of benign self-deprecating humour: as users seek social acceptance at their own expense, they seem not to take themselves too seriously.
Chapter
The chapter examines ‘virtual performatives’ in publicly visible original tweets that are not explicitly directed to particular others. The focus is on self-referential third-person predications functioning in the service of simulated textual action or emotion, as in *jumps up and down* and *feels happy*. The investigation of their uses as well as enactment of virtual silence is related to the environment of connectedness and possible context collapse. Coreferential shifts in grammatical person are accounted for, and the notion of ‘digital logophoricity’ is proposed for some of the systematic peculiarities manifest in the data. Virtual performatives function as a strategy for relatability, contributing to a general sense of conviviality, not least through their inherent playfulness and the benevolent humour conveyed by the tweets including them.
Article
Full-text available
This paper aims to propose a typology of replies to insults based on data retrieved from Twitter, which is ripe with offensive comments. The proposed typology is embedded in the theory of impoliteness, and it hinges on the notion of the perlocutionary effect. It assumes that what counts as an insult depends primarily on whether or not an utterance is evaluated as offensive by the insultee. The evaluation can be signalled behaviourally or verbally and includes expressed replies as well as so-called silent replies. The insults, regardless of the presence or absence of an insulting intention of the insulter (potential insult), that are not rendered as offensive by the target are only attempted insults, while those that are experienced as offensive amount to genuine insults. The analysis has illustrated select types of reactions and has shown that potential, attempted and genuine insults may be further divided into: in/direct insults, explicit/implicit, non-/pure, and non-/vocatives, whilst reactions can be subsumed by three overarching strategies: agreeing, attacking and rejection.
Article
Populist movements centre around a strong political leader and focus on the distinction between ‘the people’ and ‘the elite’. As soon as populists gain government power, they are thus faced with an ideological dilemma: Suddenly, they themselves are the political elite. Continuing in this line of thought, the article aims to understand whether a change in political power affects how populists and their supporters engage in dialogue online. Assuming that populist practices differ depending on the degree to which the politician in question still adheres to the political establishment, the analysis compares tweets by Donald Trump and his supporters with tweets by Boris Johnson and his followers based on 727 tweets posted in two stratified constructed weeks before and after the respective politician took office. By focusing on dialogue practices of populists as well as their supporters in terms of converging or diverging pragma-rhetoric strategies, the article extends existing research on populism by adding the voice of those who conceptualize themselves as embodiment of ‘the people’ that populism evokes. The results show how person deixis and ethotic arguments in online dialogues not only establish a rapport between populist leaders and their followers, but also serve to form collectives that are intransigently opposed to each other.
Chapter
Despite the persistent stereotypes and marginalization in the Japanese society, voices of haafu (‘mixed race/ethnicity’) individuals are heard more than ever on social media (Shimoji, Y. L. (2018). ‘Konketsu’ to ‘Nihonjin’: Haafu, daburu, mikkusu no shakaishi. [‘Mixed blood’ and ‘Japanese’: The social history of haafu, daburu, and mikkusu]. Tokyo: Seidosha). This chapter explores how haafu individuals narrate their individual experiences on Twitter under the hashtag ‘haafu aruaru (things that happen to people of mixed race/ethnicity)’. Specifically, it analyzes dialogic quotes of microagressive interactions, using the notion of ‘small talk’ (Georgakopoulou, A. (2015). Small stories research: Methods – analysis – outreach. In: De Fina, A., & Georgakopoulou, A. (eds), The handbook of narrative analysis. London: Wiley Blackwell, pp. 255–271). The individuals share a specialized way of talk, which is the elimination of details of time, space, and interlocutor, and their own ethnicity. Meanwhile, the ways their emotions and opinions are expressed remain varied, allowing individuals to express different degrees of evaluation. Some of the findings resonate with previous studies of hashtags in English-speaking countries.
Article
Full-text available
The construction [X, you are/were Y], where X is a spatio-temporal addressee, is widely attested on Dutch social media. We investigated this construction in a Twitter corpus, and found that Twitter users use the construction to tell their audience about a current or recent experience at the location addressed, while at the same time evaluating said experience. Reference to this first-hand experience is not overtly expressed, yet it is an essential interpretive aspect of the construction. The grammatical components of the construction all contribute in their own way to this interpretation. Although the use of the vocative and the second person pronoun personify the spatio-temporal addressee to a certain degree, the addressee’s spatio-temporal characteristics remain crucial, as they provide the background for the reported experience. It is noticeable that particular instances of the construction, which would be blatantly ungrammatical in other contexts, are now acceptable in virtue of these spatio-temporal characteristics of the fictive addressee. This reveals the flexibility of grammar, as it shows how grammar can adapt to the possibilities and limitations of social media use, and make otherwise ungrammatical utterances, such as ‘you are raining’, fully comprehensible.
Article
Full-text available
Virtual performatives constitute conspicuous digital fragments as they appear across modes of computer-mediated communication and social media platforms, irrespective of whether these are text-only or multimodal, and whether reciprocity is expected. Typical instances include typographically signalled, stand-alone predications in the third-person simple present tense which refer to the technology user. For instance, by typing in a performative predication such as *waves*, the user is instantaneously enacting the virtual action of waving. This article examines the form and function of such fragments in light of their use in two modes of recreational online discourse in English: discussion boards and microblogging. The study adds to the knowledge of textual fragments and has implications for the understanding of the intricacies of online discourse.
Article
The Twitter discussion with the hashtag #jesuisCharlie was a large-scale social media event commenting on the tragic terrorist attack that took place in Paris in 2015. In this paper, we analyze French tweets compiled with language technology methods from a large dataset. Our qualitative approach determines what types of affectivity are expressed. According to our results, first, core emotions are shared, and they are based on the identification with the internet meme je suis Charlie (I am Charlie). In them, participants show their commitment to democratic values and freedom of speech, as well as grief. They build up a we-agency and togetherness between the networked participants. Second, participants disalign from those who do not share the same values or who are a threat to them. Here, the emotions range from irritation and doubt to anger and disgrace, manifesting awayness. They contain protest against how democratic values are violated.
Article
Full-text available
Visual content is a critical component of everyday social media, on platforms explicitly framed around the visual (Instagram and Vine), on those offering a mix of text and images in myriad forms (Facebook, Twitter, and Tumblr), and in apps and profiles where visual presentation and provision of information are important considerations. However, despite being so prominent in forms such as selfies, looping media, infographics, memes, online videos, and more, sociocultural research into the visual as a central component of online communication has lagged behind the analysis of popular, predominantly text-driven social media. This paper underlines the increasing importance of visual elements to digital, social, and mobile media within everyday life, addressing the significant research gap in methods for tracking, analysing, and understanding visual social media as both image-based and intertextual content. In this paper, we build on our previous methodological considerations of Instagram in isolation to examine further questions, challenges, and benefits of studying visual social media more broadly, including methodological and ethical considerations. Our discussion is intended as a rallying cry and provocation for further research into visual (and textual and mixed) social media content, practices, and cultures, mindful of both the specificities of each form, but also, and importantly, the ongoing dialogues and interrelations between them as communication forms.
Article
Full-text available
Microblogging is an increasingly prevalent communicative practice for negotiating identity and engaging in networked publics. It is currently of particular interest to new media and communication theorists, due to the lens it provides to view 'real-time' expression of online opinion and sentiment about both public events and domestic life. While many studies have investigated microblogging in relation to large-scale political events and crises, this article focuses on the latter private domain, exploring the interfacing of the personal realm with mass communicative discourse. A million-word corpus of Twitter posts (MORPHEUS) will be used to investigate a form of 'ambient affiliation' that is enacted as microbloggers bond around expressions of the quotidian. This corpus features discourse in the semantic domain of sleep, a surprisingly frequent topic in microblogging posts. Drawing upon corpus linguistic methods, combined with close discourse analysis of communicative patterns, the focus will be on the role of hashtags in supporting ambient communion about the everyday.
Article
Full-text available
On 24th July 2013, feminist campaigner Caroline Criado-Perez's petition to the Bank of England to have Elizabeth Fry's image on the UK's £5 note replaced with the image of another woman was successful. The petition challenged the Bank of England's original plan to replace Fry with Winston Churchill, which would have meant that no woman aside from the Queen would be represented on any UK banknote. Following this, Criado-Perez was subjected to ongoing misogynistic abuse on Twitter, a microblogging social network, including threats of rape and death. This paper investigates this increasingly prominent phenomenon of rape threats made via social networks. Specifically, we investigate the sustained period of abuse directed towards the Twitter account of feminist campaigner and journalist, Caroline Criado-Perez. We then turn our attention to the formation of online discourse communities as they respond to and participate in forms of extreme online misogyny on Twitter. We take a corpus of 76,275 tweets collected during a three month period in which the events occurred (July to September 2013), which comprises 912,901 words. We then employ an interdisciplinary approach to the analysis of language in the context of this social network. Our approach combines quantitative approaches from the fields of corpus linguistics to detect emerging discourse communities, and then qualitative approaches from discourse analysis to analyse how these communities construct their identities.
Article
Full-text available
This study investigates various communicative functions served by hashtags in written communication on Twitter from a linguistic pragmatic perspective. A tweet containing a hashtag links to, and is integrated into, a timeline of other tweets containing the same hashtag. Thus, hashtags are by default categorizing or organizing; a user of Twitter may add the tag #food to their tweet to integrate it into a general conversation about this topic. However, this study demonstrates that hashtags are also used creatively to perform other communicative functions. In the data presented, hashtags are employed as complexly multifunctional linguistic devices for, among other things, structuring information, playing games, and engaging in reflexive meta-commentary. Notably, while pragmatic methodology is typically applied to speech, this study indicates that a traditional speech acts framework may be profitably applied to written communication in new media.
Article
Full-text available
This study relates discourse-pragmatic aspects of the use of the quotatives SAY, BE like, BE all, and GO to the question of the supposed or actual spoken-likeness of written computermediated communication (CMC). 1,800 tokens of reported speech, collected from Twitter, were analyzed in a "constructed dialogue" framework (Tannen, 2007). The results show that users of Twitter employ various CMC devices to animate and modally enrich reported speech, especially in speech reports with BE like, BE all, and GO. They perform a style of communication that is reminiscent of conversational speech, even while having qualities that seem to belong uniquely to CMC.
Article
Full-text available
Social networking sites made possible through Web 2.0 allow for unique user-generated tags called "searchable signatures." These tags move beyond the descriptive and act as means for users to assert online individual and group identities. This paper presents a study of searchable signatures on the Instagram application, demonstrating that these types of tags are valuable not only because they allow for both individuals and groups to engage in what social theorist Axel Honneth calls the "struggle for recognition," but also because they provide contextual use data and sociohistorical information so important to the understanding of digital objects. Methods for the gathering and display of searchable signatures in digital library environments are alsoexplored.
Chapter
In this chapter we examine discourses on the social media site Twitter around people who receive government support (commonly referred to as benefits), in the UK. Between 2008–2009 and 2011–2012, the UK experienced recession, and after coming to power in 2010 the Conservative-led coalition government embarked on a program of fiscal austerity that included cuts to some benefits. Baker (forthcoming) analysed the discourse around benefits in Britain’s most widely-read newspaper The Sun (a conservative tabloid), comparing the years 2002 and 2012. In 2012, the discourse around benefits was less sympathetic towards many types of benefit recipients, with the newspaper notably focusing on two constructions: benefits cheats and benefits culture, which respectively resulted in negative stories at the level of both the individual and the wider society. The newspaper painted a compelling picture of a benefits system created by the previous government that was both too soft and open to abuse and thus in need of reform.
Book
Emoticons matter. Equal signs do, too. This book takes them seriously and shows how and why they matter. Digital Shift explores the increasingly ubiquitous presence of punctuation and typographical marks in our lives?using them as reading lenses to consider a broad range of textual objects and practices across the digital age. Jeff Scheible argues that pronounced shifts in textual practices have occurred with the growing overlap of crucial spheres of language and visual culture, that is, as screen technologies have proliferated and come to form the interface of our everyday existence. Specifically, he demonstrates that punctuation and typographical marks have provided us with a rare opportunity to harness these shifts and make sense of our new media environments. He does so through key films and media phenomena of the twenty-first century, from the popular and familiar to the avant-garde and the obscure: The mass profile-picture change on Facebook to equal signs (by 2.7 million users on a single day in 2013, signaling support for gay marriage); the widely viewed hashtag skit in Jimmy Fallon’s Late Night show; Spike Jonze’s Adaptation; Miranda July’s Me and You and Everyone We Know; Ryan Trecartin’s Comma Boat; and more. Extending the dialogue about media and culture in the digital age in original directions, Digital Shift is a uniquely cross-disciplinary work that reveals the impact of punctuation on the politics of visual culture and everyday life in the digital age. © 2015 by the Regents of the University of Minnesota. All rights reserved.
Article
During the coverage of breaking news and broadcasts on social media, journalists and audiences alike share links, comments, and opinions in response to new developments. On Twitter, such content can gain increased visibility by receiving retweets from other users, through automated functions, or by manually republishing and modifying comments. This article studies tweeted coverage of the doping scandal involving Lance Armstrong in 2012 and 2013. Humorous framing is found to be popular in this discussion, and such comments experience different longevity to breaking news tweets. With these patterns come new opportunities for users to modify and appropriate punch lines in attempts to receive increased attention-and for the serendipitous creation of similar jokes-which raise questions of authorship and attribution.