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Defining “Fake News”: A typology of scholarly definitions

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Abstract

This paper is based on a review of how previous studies have defined and operationalized the term “fake news.” An examination of 34 academic articles that used the term “fake news” between 2003 and 2017 resulted in a typology of types of fake news: news satire, news parody, fabrication, manipulation, advertising, and propaganda. These definitions are based on two dimensions: levels of facticity and deception. Such a typology is offered to clarify what we mean by fake news and to guide future studies.
DEFINING “FAKE NEWS”
A typology of scholarly definitions
Edson C. Tandoc Jr., Zheng Wei Lim and Richard Ling
This paper is based on a review of how previous studies have defined and operationalized the
term “fake news.” An examination of 34 academic articles that used the term “fake news”
between 2003 and 2017 resulted in a typology of types of fake news: news satire, news parody,
fabrication, manipulation, advertising, and propaganda. These definitions are based on two
dimensions: levels of facticity and deception. Such a typology is offered to clarify what we
mean by fake news and to guide future studies.
KEYWORDS facts; fake news; false news; misinformation; news; parody; satire
Introduction
On December 4, 2016, a man carrying an assault rifle walked into a pizza restau-
rant in Washington, DC. He was intent on “self-investigating” whether the restaurant,
Comet Ping Pong, was the headquarters of an underground child sex ring allegedly run
by then presidential candidate Hillary Clinton and her former campaign manager, John
Podesta (Lopez 2016). He was motivated by stories he had read on right-wing blogs
and social media that had developed this line of thought. In the process of his
“self-investigation,” he fired several shots into the ceiling of the restaurant. No one was
injured, but it was just one of the several threats made to the pizzeria after the news
report spread through social media sites, such as Facebook, Reddit, and Twitter (Lopez
2016). The viral news report, however, was a hoax. The District of Columbia’s Metropoli-
tan Police Department also officially declared it as a “fictitious conspiracy theory”
(Ritchie 2016).
Pizzagate, as the conspiracy theory was later called, is just one of the numerous
fake news stories that flood social media (Ritchie 2016; Silverman 2016). From Pope
Francis endorsing then Republican presidential candidate Donald Trump, to a woman
arrested for defecating on her boss’ desk after she won the lottery, fake news stories
have engaged—and fooled—millions of readers around the world (Silverman 2016). A
2016 survey commissioned by news and entertainment site BuzzFeed found that “fake
news headlines fool American adults about 75% of the time” (Silverman and
Singer-Vine 2016, para. 1). In many cases, readers ignore the fake news stories they
come across, but in some cases the consumption of fake news leads to concrete
actions. For example, at the ministerial level, Pakistan’s defense minister tweeted on
December 23, 2016 a menacing response to a false report that Israel had threatened
Digital Journalism, 2017
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Pakistan with nuclear weapons (Goldman 2016). World leaders, such as former US Presi-
dent Barack Obama and Pope Francis, the leader of the Roman Catholic church, have
expressed concern over the spread of fake news (Gardiner and Eddy 2016; Pullella
2016). Studies have also started to look at the implications of fake news, not only in
terms of confusing readers (Barthel, Mitchell, and Holcomb 2016) but even in poten-
tially affecting election results (Allcott and Gentzkow 2017).
The term “fake news” is not new. Contemporary discourse, particularly media cov-
erage, seems to define fake news as referring to viral posts based on fictitious accounts
made to look like news reports. A recent study defined fake news “to be news articles
that are intentionally and verifiably false, and could mislead readers” (Allcott and Gen-
tzkow 2017, 213). Two main motivations underlie the production of fake news: financial
and ideological. On one hand, outrageous and fake stories that go viral—precisely
because they are outrageous—provide content producers with clicks that are convert-
ible to advertising revenue. On the other hand, other fake news providers produce fake
news to promote particular ideas or people that they favor, often by discrediting others
(Allcott and Gentzkow 2017). Fake news has now become a buzzword, but current ref-
erences to it seem to define it differently from earlier definitions. Earlier studies have
applied the term to define related but distinct types of content, such as news parodies,
political satires, and news propaganda. While it is currently used to describe false sto-
ries spreading on social media, fake news has also been invoked to discredit some
news organizations’ critical reporting, further muddying discourse around fake news.
Therefore, this paper reviews how fake news has been defined by other scholars
and, based on these definitions, provides a framework to conceptualize the different
types of fake news that have been identified in the literature. Through an analysis of
34 scholarly articles published between 2003 and 2017, this paper identified a typology
of fake news definitions guided by the domains of facticity and intention.
Understanding Fake News
The Role of Social Media
Misinformation in the media is not new. It has been with us since the develop-
ment of the earliest writing systems (Marcus 1993). A classic example of widespread
misinformation dates back to 1938, when the broadcast of a radio adaptation of H. G.
Well’s drama The War of the Worlds frightened an estimated one million residents (Can-
tril 2005). By adopting a radio news format via the relatively new technology of radio,
complete with actors playing the roles of reporters, residents, experts, and government
officials, radio drama director Orson Welles found a clever way of narrating the story of
Martian invasion. While his intention was to entertain listeners, the radio adaptation
assumed the form of a live news report, in a period when radio was the main source of
information in the United States. While the intention of Wells and the Mercury Theatre
of the Air was to produce a piece of radio drama, listeners interpreted it as factual
news (Cantril 2005). Now that online platforms, particularly social media, are becoming
the main sources of news for a growing number of individuals, misinformation seems
to have found a new channel.
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The digitization of news has challenged traditional definitions of news. Online
platforms provide space for non-journalists to reach a mass audience. The rise of citizen
journalism challenged the link between news and journalists, as non-journalists began
to engage in journalistic activities to produce journalistic outputs, including news
(Robinson and DeShano 2011). Citizen journalists were initially confined to blogging.
Eventually, social media offered a wider platform for non-journalists to engage in jour-
nalism (Wall 2015). Through their social media accounts, users can post information,
photos, videos, and narratives about newsworthy events they witness first-hand (Her-
mida 2011; Jewitt 2009). Journalists have also followed the audience and increased their
presence on social media. Initially, they treated it as just another platform with which
to promote their news stories (Lasorsa, Lewis, and Holton 2011), but eventually they
started using it to break stories and interact with audiences (Tandoc and Vos 2016).
Twitter, for example, became a perfect platform to quickly disseminate details about a
breaking event (Hermida 2010). Not only did social media change news distribution, it
has also challenged traditional beliefs of how news should look. Now, a tweet, which at
most is 140 characters long, is considered a piece of news, particularly if it comes from
a person in authority.
Facebook, the most popular social media platform, claims to have more than 1.23
billion daily active users as of December 2016 (Facebook 2017). While it started as a site
through which we can share personal ideas and updates with friends, it has morphed
into a portal where users produce, consume, and exchange different types of informa-
tion, including news. A survey carried out in the United States found that 44 percent of
the population get their news from Facebook (Gottfried and Shearer 2016). Social
media sites are not only marked by having a mass audience, they also facilitate speedy
exchange and spread of information. Unfortunately, they have also facilitated the
spread of wrong information, such as fake news.
An important facilitator of such distribution is how social media blur the concep-
tualization of information source. A news organization might publish a news-based arti-
cle, but that article can reach an individual through a dedicated news site, via the news
organization’s Facebook site, or through a “shared” posting of their social network.
Social media users, therefore, have to navigate through a multitude of information
shared by multiple sources, which can be perceived “as a set of layers with various
levels of proximity to the reader” (Kang et al. 2011, 721). Receiving information from
socially proximate sources can help to legitimate the veracity of information that is
shared on social networks. However, users seldom verify the information that they
share.
Social media also makes the bandwagon heuristic more salient, as each post is
accompanied by popularity ratings (Sundar 2008). When a post is accompanied by
many likes, shares, or comments, it is more likely to receive attention by others, and
therefore more likely to be further liked, shared, or commented on (Thorson 2008).
Popularity on social media is thus a self-fulfilling cycle, one that lends well to the prop-
agation of unverified information. More recently, we have also seen the development
of so-called news bots that automate this self-fulling cycle, adding what the unwary
reader of the news might interpret as legitimacy of the item (Lokot and Diakopoulos
2016).
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What is News?
The question of fake news brings up the question of how to think about the nat-
ure of real news. News has been defined in a number of ways, ranging from being an
account of a recent, interesting, and significant event (Kershner 2005), an account of
events that significantly affect people (Richardson 2007), to a dramatic account of
something novel or deviant (Jamieson and Campbell 1997). News is often seen as an
output of journalism, a field expected to provide “independent, reliable, accurate, and
comprehensive information” (Kovach and Rosenstiel 2007, 11). Since the “primary pur-
pose of journalism is to provide citizens with the information they need to be free and
self-governing,” journalism is expected to report, above all things, the truth (17). A
central element in the professional definition of journalism is adherence to particular
standards, such as being objective and accurate. Along with the responsibility of the
profession comes power. Thus, journalists have occupied an influential position in
society, namely one that can amplify and confer legitimacy to what it reports
(Schudson 2003).
At the same time, news is socially constructed, and journalists often exercise sub-
jective judgment on which bits of information to include and which to exclude (Her-
man and Chomsky 2002; Tuchman 1978). Thus, news is vulnerable not only to
journalists’ own preferences (White 1950), but also to external forces, such as the gov-
ernment, audiences, and advertisers (Shoemaker and Reese 2013). News is also a
unique commodity, for while it is sold to audiences, news audiences are subsequently
sold to advertisers (McManus 1992), making it vulnerable to market forces. Still, news is
expected to include accurate and real information. A landmark survey of American jour-
nalists, for example, differentiated journalists as those involved in the production of
reality, instead of symbolic media content (Johnstone, Slawski, and Bowman 1976).
Journalists “make the news” but it does not mean they fake it (Schudson 1989, 263).
So what makes fake news fake? If news refers to an accurate account of a real
event (Kershner 2005), what does fake news mean? News is supposedly—and norma-
tively—based on truth, which makes the term “fake news” an oxymoron. The word
“fake” is often used interchangeably with words such as copy, forgery, counterfeit, and
inauthentic (Andrea 2016). The Oxford Dictionary defines “fake” as an adjective which
means “not genuine; imitation or counterfeit.” A study about detecting fake websites
distinguished two types: “spoof sites,” which imitate existing websites, and “concocted
sites,” which are “deceptive websites attempting to appear as unique, legitimate com-
mercial entities” (Abbasi et al. 2010, 437). A study about fake online reviews also speci-
fied the role of intention in defining what is fake. The study defined fake reviews “as
deceptive reviews provided with an intention to mislead consumers in their purchase
decision making, often by reviewers with little or no actual experience with the prod-
ucts or services being reviewed” (Zhang et al. 2016, 457).
Others situate fake news within the larger context of misinformation and disinfor-
mation (Wardle 2017). While misinformation refers to “the inadvertent sharing of false
information,” disinformation refers to “the deliberate creation and sharing of informa-
tion known to be false” (Wardle 2017, para. 1). The term “fake news” has entered not
just scholarly discourse but even daily conversations, invoked not only in efforts to
point out false information but also in efforts to demonize traditional news organiza-
tions. Therefore, understanding the concept of fake news is important. Such an effort
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will allow a systematic study of not only what makes individuals believe in fake news,
but how fake news affects public discourse. Since the term is not new, and has been
used in numerous contexts across different scholarly studies, it is useful to review the
different ways fake news has been defined.
A Typology of Fake News
This paper is based on a review of published academic studies that used the term
“fake news.” The analysis focused on how each of the studies defined and operational-
ized the term. The researchers used the search term “fake news” to find academic arti-
cles through Google Scholar and a library database of academic publications. This
procedure found 34 articles, published between 2003 and 2017. While the majority of
the articles studied fake news in the context of the United States, a few were con-
ducted in Australia, China, and Italy. Most articles studied it from a journalistic perspec-
tive, while other disciplines include psychology, computer science, and political science.
While fake news is an instance of misinformation (Wardle 2017), we focused on aca-
demic articles that used the actual term “fake news” in order to identify the different
ways the term has been used and defined. A careful reading of each article identified
six ways that previous studies have operationalized fake news: satire, parody, fabrica-
tion, manipulation, propaganda, and advertising. What follows is an overview of the
way the term has been used in these papers.
News Satire
The most common operationalization of fake news in the articles reviewed is
satire, referring to mock news programs, which typically use humor or exaggeration to
present audiences with news updates. An example of such programs is The Daily Show
on Comedy Central in the United States (Baym 2005). These programs are typically
focused on current affairs and often use the style of a television news broadcast (a
“talking head” behind a desk, with illustrative graphics and video), much as a regular
news program. Nonetheless, a key difference is that they promote themselves as deliv-
ering entertainment first and foremost rather than information, with hosts calling them-
selves comedians or entertainers, instead of journalists or newscasters. The programs
are produced with a rather transparent humorous motivation. They are injected with
humor to maintain the interest of the typically younger audience using wry, sarcastic,
or over-the-top graphics or comments. Unlike traditional broadcast news, these pro-
grams are done before an audience who is heard to laugh as the punch lines are read.
Despite the exclusion of satire from mainstream media outlets, several studies
argued that these satirical programs are an increasingly important part of the media
ecosystem. Their use of humor is not perfunctory; rather, humor is often used to pro-
vide critiques of political, economic or social affairs. In essence, they are equal parts of
informing and entertaining. Indeed, Kohut, Morin, and Keeter (2007) found that individ-
uals who watch satirical programs are as knowledgeable about current affairs as indi-
viduals who consume other forms of news media. Satirical programs are also
acknowledged to have significantly shaped public discourse, opinions, and political
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trust (Brewer, Young, and Morreale 2013). One niche they occupy in the media land-
scape is their ability to situate daily news pieces within a larger context (Kohut, Morin,
and Keeter 2007; Reilly 2012). For instance, The Daily Show often compares the remarks
of politicians with their past remarks, sometimes from many years previous, with the
effect of underscoring inconsistencies or contradictions. While previous studies have
referred to political news satires as fake news, their being fake only refers to their for-
mat. They take the form of newscasts for the sake of humor, playing on exaggerated
style, outlandish faux reporting, laughter of the live audience, etc. However, the core
content of political satires are based on actual events.
News Parody
Parody is a second format which previous studies have referred to as fake news.
It shares many characteristics with satire as both rely on humor as a means of drawing
an audience. It also uses a presentation format which mimics mainstream news media.
Where parodies differ from satires is their use of non-factual information to inject
humor. Instead of providing direct commentary on current affairs through humor, par-
ody plays on the ludicrousness of issues and highlights them by making up entirely fic-
titious news stories. One of the most common examples is the parody website The
Onion that indeed has, on occasion, been mistaken for an actual news website. The art
of political parody plays on the vague plausibility of the news item. The reader might
believe, or want to believe, that “tearful Biden carefully takes down blacklight poster of
topless barbarian chick from office wall” (The Onion 2017c) or that “North Korea suc-
cessfully detonates nuclear scientist” (The Onion 2017b). The Onion illustrates how par-
ody-making maps onto fake news. In the case of successful news parody, the authors,
with a “wink” to the audience, carry off sophisticated balance between that which may
be possible and that which is absurd. Unlike most satires which make clear its
non-journalism role, only the grandiose claims of The Onion, such as its readership of
“4.3 trillion,” hint at it not being a mainstream news source (The Onion 2017a).
Berkowitz and Schwartz (2016) argued that news parodies play a role similar to
that of satire, namely that they form part of the “Fifth Estate,” along with non-main-
stream media sources such as columnists and bloggers. The Fifth Estate creates a
unique boundary vis-a
`-vis mainstream news media by enabling critiques of both people
in power and also of the news media. By serving as watchdogs of the press, satirical
and parody sites help ensure that professional journalistic conduct is maintained, help-
ing to improve the credibility of news media. Parody news, as well as news satire, are
different from other forms of fake news in that there is the assumption that both the
author and the reader of the news share the gag. In the case of news parody, the con-
tent is fabricated. The lampooning of either legacy news sources or a person in power
is a shared joke. In some cases, the parody can be too subtle, and the item can be
picked up and receive coverage in mainline news, as when The People’s Daily in China
ran a 55-page photo spread on Kim Jong Un inspired by a “report” in The Onion that
he had been judged the “sexiest man alive” (BBC 2012). In cases such as this, and in
cases where parody items appear in legacy news outlets such as on April Fools’ Day,
people can be taken in by the ruse. In these instances, the intention of the item’s
author and the gullibility of the reader are out of sync. That is, the disclaimers are lost
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on readers who can be deceived by the article and eventually share it with others
without understanding the actual premise.
News Fabrication
The third operationalization of fake news in the articles examined here is “fabrica-
tion.” This refers to articles which have no factual basis but are published in the style
of news articles to create legitimacy. Unlike parody, there is no implicit understanding
between the author and the reader that the item is false. Indeed, the intention is often
quite the opposite. The producer of the item often has the intention of misinforming.
Fabricated items can be published on a website, blog or on social media platforms.
The difficulty in distinguishing fabricated fake news occurs when partisan organizations
publish these stories, providing some semblance of objectivity and balanced reporting.
For instance, right-wing news Breitbart’s report that retailer Target’s share prices had
dropped because of its transgender policies is questionable as there were more likely
reasons for the decrease (Palma 2017).
As with the case of parody, a successful fabricated news item, at least from the
perspective of the author, is an item that draws on pre-existing memes or partialities. It
weaves these into a narrative, often with a political bias, that the reader accepts as
legitimate. The reader faces further difficulty in verification since fabricated news is also
published by non-news organizations or individuals under a veneer of authenticity by
adhering to news styles and presentations. The items can also be shared on social
media and thus further gain legitimacy since the individual is receiving them from peo-
ple they trust. As Flanagin and Metzger (2007) demonstrated, visitors who are unfamil-
iar with a website’s brand uses the sophistication of the website as a mental heuristic
to judge its credibility. In this way, fake news outlets draw in readers (and eventually
advertising revenue) by creating websites which closely mimic those of legacy news
organizations. Once the reader suspends credulity and accepts the legitimacy of the
source, they are more likely to trust the item and not seek verification. It is important
to note that the success of fabricated items relies on pre-existing social tension. When
a population has trust in a particular institution or a person, they will be less likely to
accept stories that are critical. However, if there is social tension—if there are serious
political, sectarian, racial or cultural differences—then people will be more vulnerable
to fabricated news.
An example of a fabricated story is one titled “Pope Francis Endorsed Donald
Trump” (Allcott and Gentzkow 2017). It was estimated that fabricated news relating to
Donald Trump was shared 30 million times on Facebook and those relating to Hillary
Clinton was shared 8 million times. Approximately half of those who remembered these
stories also believed them (Allcott and Gentzkow 2017). There are two relatively new
dimensions to the issue of news fabrication. One is the financial motive of the author;
the other is the development of news bots that give the illusion of widespread accep-
tance of a news item. Looking at the former, the motivation for producing fabricated
news is not simply to sway political meaning. Indeed, in some cases it can be devel-
oped for financial reasons, that is, to attract clicks that in turn will be attractive to
advertisers. During the recent US election, for example, some people in Macedonia
exploited the possibilities of automated advertising bots, such as Google AdSense, to
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make money from fabricated stories (Subramanian 2017). The more people clicked on
the false stories, the greater the income flowing into the bank account of the author.
In some cases, the people producing these stories were not motivated by pursuing a
political goal, only the pecuniary dimension of the issue (Subramanian 2017). Thus, the
more believable the story and the more it piqued the interest of the eventual reader,
the greater the income for the producer.
The second new issue with fabricated news is the development of news bots. It
is not only the content and the format that make fabricated items seem like real news,
but also the illusion that they are widely circulated. Indeed, fake news sites regularly
rely on an “ecosystem of real-time propaganda” composed of a network of bogus bot-
powered sites that automatically push the same set of fake news stories (Albright
2016). This gives the reader the sense that many others are also reading (and eventu-
ally liking) the item and if they go to another site to verify the item, they will likely find
it there, again adding a veneer of legitimacy to the piece. In sum, fabricated news plays
on some of the same dimensions as news parody, without the implicit agreement
between the author and the consumer that it is false. Instead, the author is not acting
in good faith and is motivated by economic or political motivations.
Photo Manipulation
Fake news has also been used to refer to the manipulation of real images or
videos to create a false narrative. Where the previous categories generally referred to
text-based items, this category describes visual news. Manipulation of images has
become an increasingly common occurrence with the advent of digital photos, power-
ful image manipulation software, and knowledge of techniques. Effects may range from
simple to complex. Simple adjustments can include increasing color saturation and
removing minor elements. More-invasive changes can include removing or inserting a
person into an image.
Mass media is no stranger to utilizing these techniques to catch the audience’s
eye. Most recently, this has been studied in the context of citizen journalism and social
media, marked by information overflow and difficulties in the verification of shared
information and images. This is compounded by sharing habits among users who often
share posts without verifying their authenticity. Zubiaga and Ji (2014) used this opera-
tionalization of fake news in their study of manipulated photos that were circulated on
Twitter during Hurricane Sandy in 2012. They examined many examples of photo
manipulation, one of which was a photo that showed the Statue of Liberty in New York
City being battered by waves, with a superimposed logo that made it appear to origi-
nate from a live broadcast by channel NY1. However, the photo was actually a compos-
ite of a fictitious disaster movie and an actual image from Hurricane Sandy (Zubiaga
and Ji 2014).
Most legacy news media are committed to truth and draw the line at altering
images to create a misleading or inauthentic narrative. For instance, the Reuters code
of ethics on image manipulation states that it is primarily a “presentational tool” using
effects like balancing an image’s tone and color, but there can be “no additions or
deletions, no misleading the viewer by manipulation of the tonal and color balance to
disguise elements of an image or to change the context” (Reuters 2017). In 2003, a Los
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Angeles Times journalist was dismissed for merging two actual photos into one, as he
had sufficiently changed the narrative of the images (Campbell 2003). However, on
social media, there are currently no similar codes on sharing manipulated images, much
less a way to enforce any code of ethics to ensure that manipulated images do not
misinform readers or even unnecessarily cause panic. Manipulations are often based on
facts, but include embellishments that have no factual basis.
An increasingly widespread practice involving photos is what we refer to as mis-
appropriation. While none of the studies reviewed for this study used the term “fake
news” to refer to misappropriation, numerous cases have been documented. A recent
example is the viral sharing via Twitter of a photo showing buses purportedly being
gathered to transport anti-Trump protesters (Maheshwari 2016). A Twitter user with
about 400 followers saw a collection of buses in Austin, Texas and assumed they were
being used to transport people to the upcoming anti-Trump protest, when they were
actually being used to transport attendees at a non-related conference. The user took
three photos and posted them along with a comment condemning the protesters on
his Twitter feed. One of his followers posted the tweet on social news-sharing site Red-
dit, where it was also reposted to Facebook and other conservative websites. It was
eventually shared more than 370,000 times. The virality of the photo seemed to verify
the conservatives’ belief that the protesters were not authentic, that they were being
supported or perhaps paid to join the protest. This was a case of a non-manipulated
photo taken out of its original context—intentionally or not—to represent a different
context. The photo may be factual, but it was misappropriated to support a concocted
narrative.
Advertising and Public Relations
In the material we have examined, fake news has also been used to describe
advertising materials in the guise of genuine news reports as well as to refer to press
releases published as news. For example, one report referred to video news releases
(VNRs) as “fake TV news” (Farsetta and Price 2006, 5). VNRs are pre-packaged video seg-
ments produced by public relations firms aimed at selling or promoting a product, a
company, or an idea. In this context, fake news was defined as “when public relations
practitioners adopt the practices and/or appearance of journalists in order to insert
marketing or other persuasive messages into news media” (5). Nelson and Park (2015)
also examined the use of VNRs and conducted an experiment in which audience’s
beliefs about and credibility toward VNRs were measured in response to pre- and post-
disclosure of their sources. Such video releases were considered fake news as they are
produced by third parties, often advertising or public relations agencies, and they are
provided to television news outlets for possible incorporation into an actual news
report. Although the content’s usage is determined by news agencies, the obscuration
of its origins may mislead audiences into believing that the news produced is entirely
free of bias. A clear distinction with regards to public relations or advertising-related
fake news vis-a
`-vis the other types of fake news examined here is the emphasis on
financial gain. This dimension may be a part of other forms of fabrication that often
primarily focus on political manipulation, but in this case, it is central.
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In some instances, news may function as fulfilling both advertising and news
goals through an advertising format termed native advertising. A prominent example is
that of a 2014 news feature published on The New York Times’ website on women’s
incarceration. This was used to promote the television program Orange is the New Black
(Deziel 2014). At first read, it appears to be a genuine news feature as the content
includes official sources, statistics, interviews, and scholarly studies. It is only by examin-
ing the presentation that one would understand it to be an advertisement. A banner at
the top of the page shows that it is a paid post, while disclaimers at the bottom state
that no news or editorial staff was involved with the publication (Deziel 2014). This
form of “native advertising” is usually based on facts, albeit an incomplete set, often
focusing on the positive aspects of the product or person being advertised. It takes
advantage of the news format, however, to confer more legitimacy to its one-sided
claims.
The use of “clickbait” headlines, designed to encourage the reader to “click,” thus
moving the reader to a commercial site, is also on the rise. For example, a promoted
post on Facebook that went viral in March 2017 showed a headline and a photo of
what appeared to be a news item about a wealthy Middle Eastern man arrested for
speeding in the United Kingdom. The headline suggested that he had told the police
that his car was more expensive than the police officer’s annual salary. The item gener-
ated negative, even racist, comments, with some saying the man should be deported.
However, clicking on the post did not take the user to any news article, but rather to a
marketing website. This type of item can also be described as fake news, banking on
news values to attract attention, but misleading a lot of people in the process, even
sowing anger for something that did not happen (Chen, Conroy, and Rubin 2015).
Propaganda
Finally, our material shows that there has been increased interest in the concept
of propaganda due to its relevance to political events in recent years. Propaganda
refers to news stories which are created by a political entity to influence public percep-
tions. The overt purpose is to benefit a public figure, organization or government. One
study investigated news stories on Channel One, an official Russian news channel that
is broadcast both locally in Russia and internationally (Khaldarova and Pantti 2016).
While it is a type of legacy news agency, it does not adhere to the same journalism
code as news outlets in western democracies. The study indicates that news from
Channel One may be construed as “strategic narratives” and “a tool for political actors
to articulate a position on a specic issue and to shape perceptions and actions of
domestic and international audiences” (Khaldarova and Pantti 2016, 893). Indeed, Chan-
nel One was found to have published factually untrue news stories to influence public
perceptions of Russia’s actions (Khaldarova and Pantti 2016).
It is also worth noting that there is a gray zone between advertising and propa-
ganda as overlapping motives may be present. For instance, one study investigated
people who were paid to post comments on social media platforms and forums (Chen
et al. 2013). The posters were recruited by an online game and an anti-virus company
to promote positive news about their respective products and negative news about
competitors. Even though the postings were not explicitly advertising, the underlying
10 EDSON C. TANDOC ET AL.
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commercial motive is still financial gain. Similar to advertising, propaganda is often
based on facts, but includes bias that promotes a particular side or perspective. Such
blending of news and commentary, while not unheard of in journalism, hides behind
the appropriation of being an objective piece of news; however, the goal is often to
persuade rather than to inform.
So What Does Fake News Mean?
Fake news has become a buzzword, especially after the 2016 presidential elec-
tions in the United States, a democratic exercise marked by loads of misinformation
and false news (Albright 2016). Mainstream news outlets have reported extensively
about fake news, and even political institutions around the world have discussed ways
to curb the phenomenon (Scott and Eddy 2017). Yet fake news is not a new term. It
has a long legacy reaching back centuries, but even in the past decade it has shifted
meaning. A review of previous studies that have used the term fake news reveals six
types of definition: (1) news satire, (2) news parody, (3) fabrication, (4) manipulation, (5)
advertising, and (6) propaganda.
What is common across these definitions is how fake news appropriates the look
and feel of real news; from how websites look; to how articles are written; to how pho-
tos include attributions. Fake news hides under a veneer of legitimacy as it takes on
some form of credibility by trying to appear like real news. Furthermore, going beyond
the simple appearance of a news item, through the use of news bots, fake news imi-
tates news’ omnipresence by building a network of fake sites. This is a clear recognition
of news’ place in society, but by misappropriating news’ credibility, fake news might
also undermine journalism’s legitimacy, especially in a social media environment when
the actual source of information often gets removed, or at least perceived at a distance
(Kang et al. 2011).
Facticity and Intention
This review of fake news definitions from academic publications allows us to
identify two domains, each of which constitute a continuum, from high to low. This
model allows us to map out the various types of fake news discussed in the literature.
The first dimension, facticity, refers to the degree to which fake news relies on facts.
For example, satire relies on facts but presents it in a diverting format, while parodies
and fabricated news take a broad social context upon which it fashions fictitious
accounts. Native advertising uses one-sided facts, while fabrications are without factual
basis.
The second dimension, which is the author’s immediate intention, refers to the
degree to which the creator of fake news intends to mislead. News satires and parodies
use some level of mutually understood suspension of reality to work—the immediate
intention is to humor readers through some level of bending facts. These types of fake
news assume an open disclaimer that they are not real news, a key for the intended
humor to work. In contrast, the authors of fabrication and manipulation intend at the
point of departure to mislead, without any disclaimer. While ultimately the goal of
DEFINING FAKE NEWS 11
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fabrication and manipulation is to either misinform people or just attract clicks for
advertising money, such goals are achieved through the immediate intention of
deceiving people that the fake news they see is real.
Integrating these two continuums gives a typology of four general types of fake
news definitions from the literature based on level of facticity and level of immediate
intention (see Table 1).
This not only provides a parsimonious mapping of the different definitions of fake
news across studies, but it can also provide a starting point for clarifying what we actu-
ally mean by fake news. Such clarification will allow a more focused study of the phe-
nomenon. Specifically, current definitions seem to focus on the third quadrant, which
centers on fabrications that are low in facticity and high in the immediate intention to
deceive. These dimensions limit how we can deploy the term fake news in contempo-
rary discourse and highlights the difference between labeling fabricated content as fake
news, and calling out accurate reporting of an incident revealing unflattering qualities
of a particular group or personality as fake news. Increasingly, some groups are deploy-
ing the term to shut down commentary they disagree with as fake news. However, the
presence of opinion does not render a piece as fake news. An opinion piece that does
not pass itself off as a news article and clearly identifies the author directly accountable
to the opinions presented is not fake news. It is what it is—an opinion piece.
The Role of the Audience
An important factor in defining fake news currently missing from the definitions
reviewed in this study is the role of the audience. In particular, an important question
is: Does fake news remain fake if it is not perceived as real by the audience? In other
words, can an article, which looks like news, but is without factual basis, with an imme-
diate intention to mislead, be considered fake news if the audience does not buy into
the lie?
While news is constructed by journalists, it seems that fake news is co-con-
structed by the audience, for its fakeness depends a lot on whether the audience per-
ceives the fake as real. Without this complete process of deception, fake news remains
a work of fiction. It is when audiences mistake it as real news that fake news is able to
play with journalism’s legitimacy. This is particularly important in the context of social
media, where information is exchanged, and therefore meanings are negotiated and
shared. The socialness of social media adds a layer to the construction of fake news, in
TABLE 1
A typology of fake news definitions
Level of facticity
Author’s immediate intention to deceive
High Low
High Native advertising News satire
Propaganda
Manipulation
Low Fabrication News parody
12 EDSON C. TANDOC ET AL.
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that the power of fake news lies on how well it can penetrate social spheres. Social
spheres are strengthened by information exchange, and it may well be that the quality
of information becomes secondary. Future studies should focus on the role of the audi-
ence in not only sharing and believing in fake news, but in legitimizing it to qualify as
fake news. Another dimension of this is that fake news needs the nourishment of trou-
bled times in order to take root. Social tumult and divisions facilitate our willingness to
believe news that confirms our enmity toward another group. It is in this context that
fake news finds its audience.
A clear definition of fake news, one that matches its empirical manifestation, can
help in testing and building theories in news production and consumption. However,
the typology we mapped out here is based only on how previous academic studies
operationalized the term. For example, we disagree that news satires are fake news, at
least with how we are currently defining it. But our goal is to map out how previous
scholarship has defined the term. Since discourse on fake news also now takes place in
the mainstream press, as journalists find themselves having to differentiate, if not
defend, their work from fake news, future studies can build on the arguments we pre-
sented here to examine contemporary discourse about fake news.
Fake news has real consequences (Goldman 2016; Lopez 2016), which makes it
an important subject for study. But theorizing in this area must start with a clarification
of the concept. This paper reviewed previous studies that used the term and noted the
range of meanings that have been attached to it. By identifying the dimensions that
guided previous definitions of fake news, and in offering a typology based on such
dimensions, this paper hopes to contribute to clarifying the concept and informing
future—and real—studies on fake news.
DISCLOSURE STATEMENT
No potential conflict of interest was reported by the authors.
FUNDING
This work was supported by the Ministry of Education, Singapore.
REFERENCES
Abbasi, Ahmed, Zhu Zhang, David Zimbra, Hsinchun Chen, and Jay F. Nunamaker Jr. 2010.
“Detecting Fake Websites: The Contribution of Statistical Learning Theory.” MIS
Quarterly 34 (3): 435–461.
Albright, Jonathan. 2016. “The #Election 2016 Micro-Propaganda Machine.” Medium.https://
medium.com/@d1gi/the-election2016-micro-propaganda-machine-383449cc1fba.
Allcott, Hunt, and Matthew Gentzkow. 2017. “Social Media and Fake News in The 2016 Elec-
tion.” Journal of Economic Perspectives 31 (2): 211–236. doi:10.1257/jep.31.2.211.
Andrea, Mecacci. 2016. “Aesthetics of Fake. An Overview.” Aisthesis 9 (2): 59.
DEFINING FAKE NEWS 13
Downloaded by [Nanyang Technological University] at 18:05 26 September 2017
Barthel, Michael, Amy Mitchell, and Jesse Holcomb. 2016. “Many Americans Believe Fake
News is Sowing Confusion.” Pew Research Center.https://www.journalism.org/2016/12/
15/many-americans-believe-fake-news-is-sowing-confusion/.
Baym, Geoffrey. 2005. “The Daily Show: Discursive Integration and the Reinvention of Politi-
cal Journalism.” Political Communication 22 (3): 259–276. doi:10.1080/10584600
591006492.
BBC. 2012. “China Paper Carries Onion Kim Jong-un ‘Heart-Throb’ Spoof.” BBC.https://www.
bbc.com/news/world-asia-20518929.
Berkowitz, D., and A. Schwartz. 2016. “Miley, CNN and The Onion.” Journalism Practice 10 (1):
1–17. doi:10.1080/17512786.2015.1006933.
Brewer, Paul R., Dannagal Goldthwaite Young, and Michelle Morreale. 2013. “The Impact of
Real News About “Fake News”: Intertextual Processes and Political Satire.” International
Journal of Public Opinion Research 25 (3): 323–343. doi:10.1093/ijpor/edt015.
Campbell, Duncan. 2003. “US War Photographer Sacked for Altering Image of British Soldier.”
The Guardian.https://www.theguardian.com/media/2003/apr/03/pressandpublishing.
Iraqandthemedia.
Cantril, Hadley. 2005.The Invasion from Mars. Princeton, NJ: Princeton University Press.
Chen, Cheng, Kui Wu, Venkatesh Srinivasan, and Xudong Zhang. 2013. “Battling the Internet
Water Army: Detection of Hidden Paid Posters.” In Proceedings of the 2013 IEEE/ACM
International Conference on Advances in Social Networks Analysis and Mining, Nia-
gara, Ontario, Canada: ACM.
Chen, Yimin, Niall J. Conroy, and Victoria L. Rubin. 2015. “Misleading Online Content: Recog-
nizing Clickbait as ‘False News’.” In Proceedings of the 2015 ACM on Workshop on
Multimodal Deception Detection, Seattle, Washington, USA: ACM.
Deziel, Melanie. 2014. “Women Inmates: Why the Male Model Doesn’t Work.” The New York
Times,https://paidpost.nytimes.com/netflix/women-inmates-separate-but-not-equal.html.
Facebook. 2017.Stats. Facebook.
Farsetta, Diane, and Daniel Price. 2006.Fake TV news: Widespread and undisclosed Center for
Media and Democracy.
Farsetta, Diane, and Daniel Price. 2006. “Fake TV News: Widespread and Undisclosed.” Center
for Media and Democracy, https://www.freepress.net/sites/default/files/fp-legacy/fake_
tv_news_--__widespread_and_undisclosed.pdf.
Flanagin, Andrew J., and Miriam J. Metzger. 2007. “The role of Site Features, User Attributes,
and Information Verification Behaviors on the Perceived Credibility of Web-based
Information.” New Media & Society 9 (2): 319–342. doi:10.1177/1461444807075015.
Gardiner, Harris, and Melissa Eddy. 2016. “Obama, with Angela Merkel in Berlin, Assails
Spread of Fake News.” The New York Times,https://www.nytimes.com/2016/11/
18/world/europe/obama-angela-merkel-donald-trump.html.
Goldman, Russell. 2016. “Reading Fake News, Pakistani Minister Directs Nuclear Threat at
Israel.” The New York Times,https://www.nytimes.com/2016/12/24/world/asia/pakistan-
israel-khawaja-asif-fake-news-nuclear.html?_r=0.
Gottfried, Jeffrey, and Elisa Shearer. 2016. “News Use Across Social Media Platforms 2016.”
Pew Research Center,http://www.journalism.org/2016/05/26/news-use-across-social-me
dia-platforms-2016/.
Herman, Edward S., and Noam Chomsky. 2002.Manufacturing consent: The political economy
of the mass media. New York: Knopf Doubleday Publishing Group.
14 EDSON C. TANDOC ET AL.
Downloaded by [Nanyang Technological University] at 18:05 26 September 2017
Hermida, Alfred. 2010. “Twittering the News.” Journalism Practice 4 (3): 297–308. doi:10.1080/
17512781003640703.
Hermida, Alfred. 2011. “Fluid Spaces, Fluid Journalism: The Role of The ‘Active Recipient’ in
Participatory Journalism.” In Participatory Journalism: Guarding Open Gates at Online
Newspapers, edited by Jane Singer, Alfred Hermida, David Domingo, Ari Heinonen,
Steve Paulussen, Thorsten Quandt, Zvi Reich, and Marina Vujnovic, 177–191. Malden,
MA: John Wiley & Sons.
Jamieson, Kathleen Hall, and K. Campbell. 1997.The Interplay of Influence: News, Advertising,
Politics and The Mass Media. Belmont: Wadsworth.
Jewitt, Robert. 2009. “The Trouble With Twittering: Integrating Social Media into Mainstream
News.” International Journal of Media & Cultural Politics 5 (3): 233–246. doi:10.1386/-
macp.5.3.233_3.
Johnstone, John, Edward Slawski, and William Bowman. 1976.The News People: A Sociologi-
cal Portrait of American Journalists and Their Work. Chicago, IL: University of Illinois
Press.
Kang, Hyunjin, Keunmin Bae, Shaoke Zhang, and S. Shyam Sundar. 2011. “Source Cues in
Online News: Is The Proximate Source More Powerful than Distal Sources?” Journalism
& Mass Communication Quarterly 88 (4): 719–736. doi:10.1177/107769901108800403.
Kershner, James W. 2005.The Elements of News Writing. Boston, MA: Pearson Allyn and
Bacon.
Khaldarova, Irina, and Mervi Pantti. 2016. “Fake News: The Narrative Battle Over the Ukrai-
nian Conflict.” Journalism Practice 10 (7): 891–901.
Kohut, Andrew, Richard Morin, and Scott Keeter. 2007. “What Americans Know: 1989-2007,
Public Knowledge of Current Affairs Little Changed by News and Information Revolu-
tions.” PEW Research Center, April 15. https://www.people-press.org/2007/04/15/public-
knowledge-of-current-affairs-little-changed-by-news-and-information-revolutions/
Kovach, Bill, and Tom Rosenstiel. 2007.The Elements of Journalism : What Newspeople Should
Know and The Public Should Expect. 1st rev ed. New York: Three Rivers Press.
Lasorsa, Dominic L., Seth C. Lewis, and Avery E. Holton. 2011. “Normalizing Twitter: Journal-
ism Practice in An Emerging Communication Space.” Journalism Studies 13 (1): 19–36.
doi:10.1080/1461670x.2011.571825.
Lokot, Tetyana, and Nicholas Diakopoulos. 2016. “News Bots: Automating News and Informa-
tion Dissemination on Twitter.” Digital Journalism 4 (6): 682–699. doi:10.1080/
21670811.2015.1081822.
Lopez, German. 2016. “Pizzagate, the Fake News Conspiracy Theory that Led a Gunman to
DC’s Comet Ping Pong, Explained.” Vox,http://www.vox.com/policy-and-politics/2016/
12/5/13842258/pizzagate-comet-ping-pong-fake-news.
Maheshwari, Sapna. 2016. “How Fake News Goes Viral: A Case Study.” The New York Times,
https://www.nytimes.com/2016/11/20/business/media/how-fake-news-spreads.html?_r=0.
Marcus, Joyce. 1993.Mesoamerican Writing Systems: Propaganda, Myth, and History in Four
Ancient Civilizations. Princeton, NJ: Princeton University Press.
McManus, John. 1992. “What Kind of Commodity is News.” Communication Research 19 (6):
787–805. doi:10.1177/009365092019006007.
Nelson, Michelle R., and Jiwoo Park. 2015. “Publicity as Covert Marketing? The Role of Per-
suasion Knowledge and Ethical Perceptions on Beliefs and Credibility in a Video News
Release Story.” Journal of Business Ethics 130 (2): 327–341. doi:10.1007/s10551-014-
2227-3.
DEFINING FAKE NEWS 15
Downloaded by [Nanyang Technological University] at 18:05 26 September 2017
Palma, Bethania. 2017. “Did Target’s Stock ‘Crash’ due to its Transgender Bathroom Policy?”
http://www.snopes.com/targets-stock-transgender-bathroom-policy/.
Pullella, Philip. 2016. “Pope Warns Media Over ‘Sin’ of Spreading Fake News, Smearing Politi-
cians.” Reuters.https://www.reuters.com/article/us-pope-media-idUSKBN13W1TU.
Reilly, Ian. 2012. “Satirical Fake News and/as American Political Discourse.” The Journal of
American Culture 35 (3): 258–275.
Reuters. 2017. “A Brief Guide to Standards, Photoshop and Captions.” Handbook of Journal-
ism.http://handbook.reuters.com/?title=A_Brief_Guide_to_Standards,_Photoshop_and_
Captions.
Richardson, Brian. 2007.The Process of Writing News: From Information to Story. Boston, MA:
Pearson.
Ritchie, Hannah. 2016. “Read all about it: The Biggest Fake News Stories of 2016.” http://www.
cnbc.com/2016/12/30/read-all-about-it-the-biggest-fake-news-stories-of-2016.html.
Robinson, Sue, and Cathy DeShano. 2011. “‘Anyone Can Know’: Citizen Journalism and The
Interpretive Community of The Mainstream Press.” Journalism 12 (8): 963–982.
doi:10.1177/1464884911415973.
Schudson, Michael. 1989. “The Sociology of News Production.” Media, Culture & Society 11
(3): 263–282. doi:10.1177/016344389011003002.
Schudson, Michael. 2003.The Sociology of News. Edited by Jeffrey Alexander, Contemporary
Societies. New York: W.W. Norton & Company, Inc.
Scott, Mark, and Melissa Eddy. 2017. “Europe Combats a New Foe of Political Stability: Fake
News.” nytimes.com, https://www.nytimes.com/2017/02/20/world/europe/europe-com
bats-a-new-foe-of-political-stability-fake-news.html?_r=0.
Shoemaker, Pamela J., and Stephen D. Reese. 2013.Mediating the Message in The 21st Cen-
tury: A Media Sociology Perspective. 3rd ed. New York: Routeledge.
Silverman, Craig. 2016. “Here are 50 of the Biggest Fake News Hits on Facebook from 2016.”
BuzzFeed,https://www.buzzfeed.com/craigsilverman/top-fake-news-of-2016?utm_term=.
iqzA7qdxG#.ihMA0kVRx.
Silverman, Craig, and Jeremy Singer-Vine. 2016. “Most Americans Who See Fake News
Believe It, New Survey Says.” Buzzfeed Poll About Fake News. https://www.buz
zfeed.com/craigsilverman/fake-news-survey?utm_term=.qoOvLO5vA#.dim75q97X.
Subramanian, Samanth. 2017. “Inside the Macedonian Fake-news Complex.” Wired https://
www.wired.com/2017/02/veles-macedonia-fake-news/.
Sundar, S. Shyam. 2008. “The MAIN Model: A Heuristic Approach to Understanding Technol-
ogy Effects on Credibility.” In Digital Media, Youth, and Credibility, edited by Miriam J.
Metzger and Andrew J. Flanagin, 73–100. Cambridge, MA: The MIT Press.
Tandoc, Edson, and Tim P. Vos. 2016. “The Journalist is Marketing the News: Social Media in
The Gatekeeping Process.” Journalism Practice 10 (8): 950–966. doi:10.1080/
17512786.2015.1087811.
The Onion.2017a. “About the Onion.” The Onion,http://www.theonion.com/about/.
The Onion.2017b. “North Korea Successfully Detonates Nuclear Scientist.” The Onion 53 (15),
http://www.theonion.com/article/north-korea-successfully-detonates-nuclear-scienti-
55783.
The Onion.2017c. “Tearful Biden Carefully Takes Down Blacklight Poster of Topless Barbarian
Chick From Office Wall.” The Onion 53 (2). https://www.theonion.com/article/tearful-
biden-carefully-takes-down-blacklight-post-55089.
16 EDSON C. TANDOC ET AL.
Downloaded by [Nanyang Technological University] at 18:05 26 September 2017
Thorson, Emily. 2008. “Changing Patterns of News Consumption and Participation.” Informa-
tion, Communication and Society 11 (4): 473–489. doi:10.1080/13691180801999027.
Tuchman, Gaye. 1978.Making News: A Study in The Construction of Reality. New York: Free
Press.
Wall, Melissa. 2015. “Citizen Journalism: A Retrospective On What We Know, An Agenda for
What We Don’t.” Digital Journalism 3 (6): 797–813. doi:10.1080/21670811.2014.
1002513.
Wardle, Claire. 2017. “Fake News.” It’s Complicated. https://medium.com/1st-draft/fake-news-
its-complicated-d0f773766c79.
White, David Manning. 1950. “The ‘Gatekeeper’. A Case Study in The Selection of News.”
Journalism Quarterly 27: 383–390.
Zhang, Dongsong, Lina Zhou, Juan Luo Kehoe, and Isil Yakut Kilic. 2016. “What Online
Reviewer Behaviors Really Matter? Effects of Verbal and Nonverbal Behaviors on Detec-
tion of Fake Online Reviews.” Journal of Management Information Systems 33 (2): 456–
481. doi:10.1080/07421222.2016.1205907.
Zubiaga, Arkaitz, and Heng Ji. 2014. “Tweet, But Verify: Epistemic Study of Information Verifi-
cation on Twitter.” Social Network Analysis and Mining 4 (1): 1–12.
Edson C. Tandoc Jr., (author to whom correspondence should be addressed), Wee
Kim Wee School of Communication and Information, Nanyang Technological
University, Singapore. E-mail: edson@ntu.edu.sg.
Zheng Wei Lim, School of Social Sciences, Nanyang Technological University, Sin-
gapore. E-mail: LIMZ0100@e.ntu.edu.sg.
Richard Ling, School of Communication and Information, Nanyang Technological
University, Singapore. E-mail: rili@ntu.edu.sg.
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Fake websites have become increasingly pervasive, generating billions of dollars in fraudulent revenue at the expense of unsuspecting Internet users. The design and appearance of these websites makes it difficult for users to manually identify them as fake. Automated detection systems have emerged as a mechanism for combating fake websites, however most are fairly simplistic in terms of their fraud cues and detection methods employed. Consequently, existing systems are susceptible to the myriad of obfuscation tactics used by fraudsters, resulting in highly ineffective fake website detection performance. In light of these deficiencies, we propose the development of a new class of fake website detection systems that are based on statistical learning theory (SLT). Using a design science approach, a prototype system was developed to demonstrate the potential utility of this class of systems. We conducted a series of experiments, comparing the proposed system against several existing fake website detection systems on a test bed encompassing 900 websites. The results indicate that systems grounded in SLT can more accurately detect various categories of fake websites by utilizing richer sets of fraud cues in combination with problem-specific knowledge. Given the hefty cost exacted by fake websites, the results have important implications for e-commerce and online security.
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So-called “robot” journalism represents a shift towards the automation of journalistic tasks related to news reporting, writing, curation, and even data analysis. In this paper, we consider the extension of robot journalism to the domain of social platforms and study the use of “news bots”—automated accounts that participate in news and information dissemination on social networks. Such bots present an intriguing development opportunity for news organizations and journalists. In particular, we analyze a sample of existing news bot accounts on Twitter to understand how news bots are currently being used and to examine how using automation and algorithms may change the modern media environment. Based on our analysis, we propose a typology of news bots in the form of a design and editorial decision space that can guide designers in defining the intent, utility, and functionality of future bots. The proposed design space highlights the limits of news bots (e.g., automated commentary and opinion, algorithmic transparency and accountability) and areas where news bots may enable innovation, such as niche and local news.