ArticlePDF Available

Abstract and Figures

To understand the impact of personality, one needs to know how personality differences manifest themselves in language use. The present study investigates the link between extraversion and language abstraction. Participants’ spontaneous verbal utterances in face-to-face interactions were analyzed for language abstraction by applying the linguistic category model, which distinguishes predicate types that convey information in concrete or interpretative manner. We also applied the Linguistic Inquiry and Word Count (LIWC) program to relate several word categories to extraversion and language abstraction. Results show significant positive correlations between extraversion and both language abstraction and self-reported level of interpretation. Language abstraction was also linked to LIWC variables (e.g., articles, numbers) previously shown to be related to extraversion. The findings suggest that the verbal style of extraverts is characterized by a higher level of abstract interpretation, whereas introverts tend to stick to concrete facts.
Content may be subject to copyright.
http://jls.sagepub.com/
Psychology
Journal of Language and Social
http://jls.sagepub.com/content/32/2/191
The online version of this article can be found at:
DOI: 10.1177/0261927X12460844
October 2012
2013 32: 191 originally published online 5Journal of Language and Social Psychology
Camiel J. Beukeboom, Martin Tanis and Ivar E. Vermeulen
Introverts Are More Concrete
The Language of Extraversion: Extraverted People Talk More Abstractly,
Published by:
http://www.sagepublications.com
at: can be foundJournal of Language and Social PsychologyAdditional services and information for
http://jls.sagepub.com/cgi/alertsEmail Alerts:
http://jls.sagepub.com/subscriptionsSubscriptions:
http://www.sagepub.com/journalsReprints.navReprints:
http://www.sagepub.com/journalsPermissions.navPermissions:
http://jls.sagepub.com/content/32/2/191.refs.htmlCitations:
What is This?
- Oct 5, 2012OnlineFirst Version of Record
- May 20, 2013Version of Record >>
at Vrije Universiteit 34820 on November 6, 2013jls.sagepub.comDownloaded from at Vrije Universiteit 34820 on November 6, 2013jls.sagepub.comDownloaded from at Vrije Universiteit 34820 on November 6, 2013jls.sagepub.comDownloaded from at Vrije Universiteit 34820 on November 6, 2013jls.sagepub.comDownloaded from at Vrije Universiteit 34820 on November 6, 2013jls.sagepub.comDownloaded from at Vrije Universiteit 34820 on November 6, 2013jls.sagepub.comDownloaded from at Vrije Universiteit 34820 on November 6, 2013jls.sagepub.comDownloaded from at Vrije Universiteit 34820 on November 6, 2013jls.sagepub.comDownloaded from at Vrije Universiteit 34820 on November 6, 2013jls.sagepub.comDownloaded from at Vrije Universiteit 34820 on November 6, 2013jls.sagepub.comDownloaded from at Vrije Universiteit 34820 on November 6, 2013jls.sagepub.comDownloaded from at Vrije Universiteit 34820 on November 6, 2013jls.sagepub.comDownloaded from
Journal of Language and Social Psychology
32(2) 191 –201
© 2012 SAGE Publications
DOI: 10.1177/0261927X12460844
jls.sagepub.com
460844JLS32210.1177/0261927X12460844Journal
of Language and Social PsychologyBeukeboom et al.
1VU University Amsterdam, Amsterdam, Netherlands
Corresponding Author:
Camiel L. Beukeboom, Department of Communication Science, VU University Amsterdam, De Boelelaan
1081, 1081HV Amsterdam, Netherlands.
Email: c.j.beukeboom@vu.nl
The Language of
Extraversion: Extraverted
People Talk More Abstractly,
Introverts Are More Concrete
Camiel J. Beukeboom1, Martin Tanis1,
and Ivar E. Vermeulen1
Abstract
To understand the impact of personality, one needs to know how personality differences
manifest themselves in language use. The present study investigates the link between
extraversion and language abstraction. Participants’ spontaneous verbal utterances
in face-to-face interactions were analyzed for language abstraction by applying the
linguistic category model, which distinguishes predicate types that convey information
in concrete or interpretative manner. We also applied the Linguistic Inquiry and Word
Count (LIWC) program to relate several word categories to extraversion and language
abstraction. Results show significant positive correlations between extraversion and
both language abstraction and self-reported level of interpretation. Language abstraction
was also linked to LIWC variables (e.g., articles, numbers) previously shown to be
related to extraversion. The findings suggest that the verbal style of extraverts is
characterized by a higher level of abstract interpretation, whereas introverts tend to
stick to concrete facts.
Keywords
extraversion, linguistic category model (LCM), language abstraction, Linguistic Inquiry
Word Count (LIWC), linguistic style, communication, conversation.
Research has shown that personality differences bring about differences in language
use (Fast & Funder, 2008; Pennebaker & King, 1999). Prior studies investigated the
Short Research Report
192 Journal of Language and Social Psychology 32(2)
relationship between personality and language use in different types of text corpora
ranging from e-mails (Oberlander & Gill, 2006), to personal narratives (Hirsch & Peterson,
2009), recordings of conversations (Mehl, Gosling, & Pennebaker, 2006; Mehl &
Pennebaker, 2003), and personal blogs (Yarkoni, 2010). Mostly using the Linguistic
Inquiry and Word Count (LIWC) program (Pennebaker, Booth, & Francis, 2007), these
studies showed that the relative usage frequency of words from different categories dif-
fers between personality types. Extraversion, for instance, has been associated with
more frequent use of words related to social processes, communication, family, and
humans (Hirsch & Peterson, 2009), and individual words such as drinks, restaurant,
and dancing (Yarkoni, 2010).
It remains unclear, however, whether the observed differences reflect different
personality types producing different content (i.e., what they talk or write about) or
different style (i.e., how they talk or write). Because in most prior studies individuals
are free to choose what to talk about, personality likely influences the content of the
analyzed texts. For instance, since extraverts, compared with introverts, have more
active social lives and seek out more social situations (Mehl et al., 2006), they are
more likely to describe such situations. Consequently, their descriptions contain more
references to people, social processes, and events (Hirsch & Peterson, 2009;
Pennebaker & King, 1999; Yarkoni, 2010). Even though these findings demonstrate
that personality traits are reflected in language use, they do not reveal whether per-
sonality in general, and extraversion in particular, affects how individuals express
themselves in stylistic or structural aspects of their language use.
A structural aspect of language use that may relate to extraversion is the level of lan-
guage abstraction as defined by the linguistic category model (LCM; Semin & Fiedler,
1988). An extensive body of research shows that individual differences in language
abstraction occur even when individuals describe identical events (e.g., Beukeboom,
2009; Beukeboom & Semin, 2006). One person may opt for a concrete and descriptive
account, describing mainly visible behaviors and detail (using action verbs). Another
person may opt for an interpretive account, providing subjective views of people and
behavior and describing things that are not directly visible (e.g., feelings and traits).
Previous LIWC-based findings suggest that introverts may use more concrete and
descriptive linguistic styles than extraverts (Gill & Oberlander, 2002; Pennebaker &
King, 1999; Yarkoni, 2010). Yet, this notion has not yet been empirically tested.
If, indeed, extraverts communicate more abstractly than introverts, this has exten-
sive interpersonal consequences. Differences in language abstraction have repeatedly
been shown to induce systematic effects on recipients’ inferences. When information
is reported concretely (using action verbs; e.g., Paul pays the cashier) a verifiable
description of what happens is provided. When reported abstractly (using adjectives to
describe traits; e.g., Paul is honest), information is interpreted and generalized from
specific situations to enduring person characteristics (Semin, 2011). Differences in
language abstraction not only affect how information is perceived and memorized by
recipients, but also how conversations develop, the impression the speaker leaves, and
how information is transferred to third parties.
Beukeboom et al. 193
The present study tested whether extraversion induces differences in language
abstraction. All participants orally described the same social situations in a controlled
setting. Based on previous findings, we expected introverts to stick to concrete descrip-
tions and extraverts to provide more abstract interpretations.1
Research on Extraversion and Language Use
The introversion–extraversion dimension is a factor of the Big-Five Factor Model
(Digman, 1990). Typical extraverts are sociable, gregarious, carefree, easy going, and
optimistic. Typical introverts are quiet, introspective, reserved, and retiring. Introverts
exert seriousness and like a well-ordered mode of life (Eysenck & Eysenck, 1964).
Research demonstrates that this personality dimension is reflected not only in pat-
terns of thought, feeling, and behavior but also in communication features. For
instance, extraverts speak faster (Koomen & Dijkstra, 1975), louder, and have a
broader dynamic range (Scherer, 1979). In (mostly LIWC based) studies on extraver-
sion and verbal behavior, roughly four aspects are repeatedly observed. First, extra-
verts, compared with introverts, tend to use more words overall (Gill & Oberlander,
2002; Mehl et al., 2006). Second, extraverts differ from introverts in the content of
their language. Extraverts show an increased use of words related to people and social
processes (Hirsch & Peterson, 2009; Pennebaker & King, 1999; Yarkoni, 2010). Third,
extraverts use more positive emotion words (Pennebaker & King, 1999; Yarkoni,
2010) and fewer negative emotion words (Pennebaker & King, 1999), which fits with
the consistently observed correlation between extraversion and positive affect (Watson
& Clark, 1997).
A fourth aspect of extraverts’ language use relates to stylistic (or structural) language
features and is particularly relevant to our argument about language abstraction. A close
analysis of the stylistic verbal aspects related to extraversion, as revealed by LIWC
research, suggests that introverts tend to be more concrete and precise than extraverts.
First, introverts have been shown to use more articles (e.g., a, the; Pennebaker & King,
1999), numbers, and quantifications (Gill & Oberlander, 2002; Yarkoni, 2010). Articles
by definition refer to concrete objects or events (Pennebaker & King, 1999), and num-
bers and quantifications are specifications as well (Fast & Funder, 2008). Introverts also
score higher on “making distinctions” (Pennebaker & King, 1999). That is, introverts’
language contains more exclusive words (e.g., but, except) and negations (e.g., not, no),
but less inclusion words (e.g., and, with), suggesting they are more reserved in assimilat-
ing information. Likewise, introverts use more tentative words (e.g., perhaps, maybe)
and less certainty words (e.g., absolute, always) compared with extraverts (see, Dewaele
& Furnham, 1999; Heylighen & Dewaele, 2002; Oberlander & Gill, 2006; Yarkoni,
2010). This suggests that introverts are more careful in their formulations.
Together, it appears introverts exert a more careful, precise, and focused style,
whereas extraverts exert a more imprecise and “looser” style (Gill & Oberlander,
2002). This idea corresponds with evidence on the relation between extraversion and
cognitive processing. Extraverts tend to show fast and less accurate performance in
194 Journal of Language and Social Psychology 32(2)
complex cognitive tasks. Introverts take more time, perform more accurately (Eysenck
& Eysenck, 1985), and excel on tasks-requiring focus, vigilance, and reflection (Harkins
& Geen, 1975). Such differences in cognitive processing are likely to be reflected in
language use. Previous research demonstrated that mood-induced differences in cogni-
tive processing style yield differences in language abstraction. A negative mood-
induced detail-focused analytic processing style results in more concrete language.
A positive mood-induced global processing style results in more abstract language
(Beukeboom, 2009; Beukeboom & de Jong, 2008; Beukeboom & Semin, 2006).
In sum, extraverts appear to—both verbally and cognitively—exhibit a more
imprecise and “looser” style with reduced concreteness, whereas introverts exhibit a
more analytic, careful, and focused style. We therefore expected higher levels of extra-
version to relate to increased levels of language abstraction as defined by the LCM
(Semin & Fiedler, 1988). The LCM offers a taxonomy of predicate types, particularly
relevant to descriptions of social situations. It distinguishes four linguistic categories
with increasing levels of abstraction. Most concrete are descriptive action verbs. These
describe single, observable actions (e.g., Jack talks to Sue). Use of descriptive action
verbs reflects a detail-focused, analytic processing style because it preserves percep-
tual features of the event. Most abstract are state verbs (e.g., Jack loves Sue) and adjec-
tives (Jack is flirtatious), which describe behavior generally, provide a global summary
of actions, and show no reference to specific acts. Use of more abstract predicates
reflects an assimilative, interpretive processing style, since these words decontextual-
ize events and convey interpretative accounts (Semin & Fiedler, 1988).
To test our hypothesis, we used the LCM taxonomy to analyze the abstraction of
participants’ oral descriptions of social situations and related results to participants’
independently obtained extraversion score. In addition, an LIWC analysis was con-
ducted testing whether the previously mentioned word categories relate to extraver-
sion and language abstraction.
Method
Participants and Design
A random sample of Dutch employees of a large company located in Amsterdam was
approached by e-mail; 40 (19 women) volunteered to participate. Ages ranged from
19 to 59 years (M = 34.4 years, SD = 8.55). In a first session, participants orally
described five photos depicting a social situation; the descriptions (in Dutch) were
later coded for language abstraction. Three days later, participants filled out a ques-
tionnaire measuring extraversion.
Procedure
On arrival, participants learned the study consisted of two independent studies, the
current study on communication and one questionnaire to be administered 3 days
Beukeboom et al. 195
later. Each participant was seated at a table opposite the experimenter and asked to
describe five photos orally. Descriptions were tape recorded. All photos depicted
ambiguous social situations with two or more people and were presented on paper
sheets in random order. The experimenter gave the following instructions: “Please
describe what you see in this picture. It is about the behavior of the depicted people.
There are no right or wrong answers; it is about what you see.” During the partici-
pants’ descriptions, the experimenter kept reactions to a minimum. Questions were
responded to by merely repeating instructions. When participants appeared to be fin-
ished describing a photo the experimenter asked once whether they had anything to
add. If not, the next photo was presented.
Immediately after, participants filled out a questionnaire using 7-point scales rang-
ing from 1 = not at all to 7 = very much. First, they reported their current mood on two
items: “To what extent do you experience positive feelings/negative feelings at this
moment?” (M = 4.85, SD = 0.66; M = 2.20, SD = 0.91, respectively).
Second, they reported their task appreciation (four items; Cronbach’s α = .77; M =
5.16, SD = 0.98), for example, “How much did you enjoy describing the pictures?”
Third, six items measured participants’ self-reported level of interpretation in
describing the photos (α = .77; M = 3.98, SD = 0.87), for example, “To what extent did
you describe things that were not directly visible in the pictures?” Finally, they reported
some demographics.2
Three days later, participants filled out a paper questionnaire, measuring extraver-
sion (α = .93; M = 3.43, SD = 0.64) and neuroticism (cf. emotional stability) using the
respective 40 items of the Five-Factor Personality Inventory (Hendriks, Hofstee, De
Raad, & Angleitner, 1995).
Language abstraction. To analyze language use, recordings of participants’ spoken
descriptions were literally transcribed (Mnumber of words = 333, SD = 158). All text used
to describe people and their behavior was coded by a judge—blind to all participant
variables—according to the LCM (Semin & Fiedler, 1988; see Coenen, Hedebouw,
& Semin, 2006, for guidelines). Each verb and adjective was coded and scored as
follows: number of descriptive-action verbs * 1, interpretive-action verbs/state-
action verbs * 2, state-verbs * 3, adjectives * 4. Based on these scores, the mean
level of abstraction was computed for each photo by adding the scores and dividing
that by the total number of coded predicates (correcting for description length). The
dependent variable was the mean level of abstraction for the five descriptions (M =
2.46, SD = 0.38). Scores varied between 1 (extremely concrete, only descriptive-
action verbs) and 4 (extremely abstract, only adjectives). A random selection of the
data (50%) was independently coded by a second judge to check for reliability.
Agreement between the two judges was high: r(20) = .91, indicating a good
reliability.
LIWC. In addition, we conducted a LIWC word count analysis using the Dutch
dictionary in the LIWC2007 software (Pennebaker et al., 2007), which computes the
percentage of words from different categories. We particularly looked at articles,
numbers (numerals included), references to humans, and we computed a “making
196 Journal of Language and Social Psychology 32(2)
distinctions” factor (Pennebaker & King, 1999) using the formula: discrepancies +
exclusion words + tentative words + negations − inclusion words.
Results
Consistent with our hypothesis, extraversion correlated positively with coded lan-
guage abstraction (see Table 1), the higher participants’ extraversion score, the higher
their level of abstraction in describing the five photos. Moreover, extraversion corre-
lated positively with self-reported level of interpretation. This provides complemen-
tary evidence that extraverts tend to use more abstract language than introverts, who
use more descriptive and concrete language.3
Next, we analyzed several control variables that might explain the observed rela-
tions. Extraversion was unrelated to mood, task appreciation, number of words used,
and length of the interview in seconds (rs between −.03 and .14, ns). Moreover, after
adding these five variables as predictors to a linear regression of extraversion on lan-
guage abstraction, extraversion still significantly predicted language abstraction, β =
.44, t(33) = 2.90, p =.01. The same held when self-reported level of interpretation was
the dependent variable, β = .36, t(33) = 2.52, p = .02. Clearly, the control variables do
not explain relations between extraversion and language use.
Looking at LIWC variables that were previously shown to be related to extraver-
sion, we observed that use of articles, numbers, and specific references to humans,
negatively related to language abstraction and self-reported level of interpretation
(Table 1). Given that these elements reflect specifications in reference (e.g., the man,
two kids, rather than “they”), these findings support the idea that extraversion is
reflected in a stylistic dimension of language ranging from concreteness and precision
to abstraction and interpretation.
Notably, LIWC’s “making distinctions” factor was unrelated to language abstrac-
tion, although it was related to self-reported level of interpretation. A look at the
Table 1. Correlations between Extraversion, Language Abstraction, Self-Reported Level of
Interpretation, and LIWC Variables.
Measure 1 2 3 4 5 6 7
1. Extraversion 1 .35* .33* .30
.21 .13 .02
2. Language abstraction 1 .28
.35* .40* .46** .02
3. Self reported interpretation 1 .46** .62** .65** .43**
4. Articles 1 .43** .28
.24
5. Numbers 1 .69** .45**
6. Humans 1.46**
7. Making distinctions 1
Note: N = 40; LIWC = Linguistic Inquiry and Word Count.
†.05 > p < .1. *p < .04. **p < .01.
Beukeboom et al. 197
separate factor elements showed that two were significantly correlated to self-reported
level of interpretation, namely “discrepancies” (would, should, could; r = .34, p = .03)
and “exclusive words” (but, without, except; r = .40, p = .01). These elements possibly
reflect explicit speculations about what the depicted actors think and why they do
things (e.g., It could be . . ., I would think that . . ., but . . .). Such speculations may be
described either concretely (e.g., He could be writing a letter) or abstractly (e.g., He
could be lonely), which may explain why this factor is unrelated to language abstrac-
tion as measured by LCM. However, when judging their own level of interpretation in
hindsight participants likely do consider whether they have speculated about things
not visible in the pictures.
The correlations between extraversion and the other LIWC variables were in the
expected direction, yet did not reach conventional levels of significance. This is likely
because of the relatively small sample compared with previous studies in which these
variables related significantly to extraversion.
Together, our results suggest that extraversion positively relates to a stylistic dimen-
sion of language with concreteness and precision on the one end and abstraction and
interpretation on the other.
Discussion
The present findings revealed a relation between extraversion and language abstrac-
tion. Participants’ verbal utterances when describing photos in face-to-face interactions
were coded for language abstraction and related to participants’ independently obtained
extraversion score. Results showed a significant correlation; the higher the participants’
extraversion score, the higher their level of language abstraction. A complementary
result was found for participants’ self-reported level of interpretation. Moreover, we
showed that both abstraction variables related to relevant stylistic LIWC variables that
prior research associated to extraversion (Fast & Funder, 2008; Gill & Oberlander,
2002; Pennebaker & King, 1999). Particularly, an increased use of articles, numbers,
specific references to humans, and (partly) “making distinctions,” covaries with
increased language concreteness. This suggests that introverts’ linguistic style is rela-
tively concrete and descriptive, whereas extraverts are more abstract and interpretative.
The findings are important because a large body of research shows the effects of
language abstraction on the types of inferences that recipients draw (Semin, 2011).
Abstract language conveys more information about the subjects’ personality and less
about specific behavioral situations or contexts. As a result, abstractly described behav-
ior (e.g., “Camiel is unfriendly”) appears more endurable, as more likely to be repeated,
and is less verifiable. Concretely described behavior, in contrast (e.g., “Camiel yells at
Martin”), is more likely attributed to contextual causes, since it maintains a reference to
a concrete empirical event (Semin & Fiedler, 1988). Recent research also showed that
increasing linguistic concreteness positively impacts judgments of truth (Hansen &
Wänke, 2010). Thus, an introvert’s linguistic style would induce more situational attri-
butions and a higher perception of trustworthiness than an extraverts’ style.
198 Journal of Language and Social Psychology 32(2)
Next to influencing how information is perceived and memorized by recipients,
linguistic styles likely also influence how conversations develop, the impression
speakers leave, and subsequent representation of information to third parties.
Research showed that conversations between two introverts are more serious and
have a greater topic focus (i.e., discussing one topic in depth), whereas conversa-
tions between extraverts are more expansive and characterized by a wider range of
topics (Thorne, 1987). Differences in linguistic style may thus feed through to the
course of conversations.
One interesting topic that future research may address pertains to possible underly-
ing mechanisms. First, extraverts have been shown to tend toward fast and less accu-
rate performance in cognitive tasks, whereas introverts tend to take more time and are
more careful and accurate (Eysenck & Eysenck, 1985; Harkins & Geen, 1975). In
conversations this would result in introverts being more thoughtful, reflecting more
before speaking, which is in line with introverts’ lower speech rates (Koomen &
Dijkstra, 1975). Increased reflection would make introverts’ speech style more precise
but also less fluent and spontaneous (Heylighen & Dewaele, 2002).
Second, by definition extraverts and introverts differ in how they behave in inter-
personal situations. Prior research suggests that introverts behave more cautiously
because of fear of punishment (Eysenck & Eysenck, 1985). Using concrete descrip-
tions could be regarded as cautious verbal behavior because these are less likely to
induce disagreement than abstract descriptions (Semin & Fiedler, 1988). While intro-
verts may stick to the facts out of fear of disagreement (Thorne, 1987), typical extra-
verts are excitement-seekers (Eysenck, 1981) and may be less hesitant to provide
subjective interpretations. They may even use abstract interpretations to encourage
more lively conversations (Thorne, 1987).
To conclude, our study is the first to link extraversion to language abstraction as
defined by the LCM (Semin & Fiedler, 1988), and additionally links language abstrac-
tion to several LIWC variables previously related to extraversion. Our results suggest
that extraversion induces stylistic differences in language use that show even when
describing the exact same content. By talking at different levels of abstraction, extra-
verts and introverts report information differently, and induce different recipient infer-
ences, memories, and subsequent representations of the information exchanged.
Acknowledgment
We would like to thank Pluk Bakker for collecting the data.
Declaration of Conflicting Interests
The authors declared no potential conflicts of interest with respect to the research, authorship,
and/or publication of this article.
Funding
The authors received no financial support for the research, authorship, and/or publication of this
article.
Beukeboom et al. 199
Notes
1. We conceptualized and measured extraversion as a continuous dimension rather than a
dichotomous classification. For the sake of brevity, however, we use the terms extravert and
introvert to refer to individuals who are relatively high or low on the extraversion dimension.
2. The full questionnaire is available on request from the first author (c.j.beukeboom@vu.nl).
3. Together with extraversion, we also administered neuroticism. This variable showed no
relations with our measures of language use, it was negatively correlated with extraversion,
r(40) = −.45, p = .003.
References
Beukeboom, C. J. (2009). When words feel right: How affective expressions of listeners
change a speaker’s language use. European Journal of Social Psychology, 39, 747-756.
doi:10.1002/ejsp.572
Beukeboom, C. J., & de Jong, E. M. (2008). When feelings speak: How affective and proprio-
ceptive cues change language abstraction. Journal of Language and Social Psychology, 27,
110-122. doi:10.1177/0261927X07313644
Beukeboom, C. J., & Semin, G. R. (2006). How mood turns on language. Journal of Experimen-
tal Social Psychology, 42, 553-566. doi:10.1016/j.jesp.2005.09.005
Coenen, L., Hedebouw, L., & Semin, G. R. (2006). Measuring abstraction: The linguis-
tic category model. Retrieved from http://www.cratylus.org/resources/uploadedFiles/
1151434261594-8567.pdf
Dewaele, J.-M., & Furnham, A. (1999). Extraversion: The unloved variable in applied linguistic
research. Language Learning, 19, 509-544. doi:10.1111/0023-8333.00098
Digman, J. M. (1990). Personality structure: Emergence of the five-factor model. Annual Review
of Psychology, 41, 417-440. doi:10.1146/annurev.ps.41.020190.002221
Eysenck, H. J. (1981). A model for personality. New York, NY: Springer-Verlag.
Eysenck, H. J., & Eysenck, M. W. (1985). Personality and individual differences: A natural
science approach. New York, NY: Plenum Press.
Eysenck, H. J., & Eysenck, S. B. G. (1964). Manual of the Eysenck Personality Inventory. London,
England: Hodder & Stoughton.
Fast, L. A., & Funder, D. C. (2008). Personality as manifest in word use: Correlations with self-
report, acquaintance report, and behavior. Journal of Personality and Social Psychology, 94,
334-346. doi:10.1037/0022-3514.94.2.334
Gill, A., & Oberlander, J. (2002). Taking care of the linguistic features of extraversion. In Pro-
ceedings of the 24th Annual Conference of the Cognitive Science Society (pp. 363-368).
Austin, TX: Cognitive Science Society.
Hansen, J., & Wänke, M. (2010). Truth from language and truth from fit: The impact of linguis-
tic concreteness and level of construal on subjective truth. Personality and Social Psychol-
ogy Bulletin, 36, 1576-1588. doi:10.1177/0146167210386238
Harkins, S. G., & Geen, R. G. (1975). Discriminability and criterion differences between
extraverts and introverts during vigilance. Journal of Research in Personality, 9, 335-340.
doi:10.1016/0092-6566(75)90007-0
200 Journal of Language and Social Psychology 32(2)
Hendriks, A. A. J., Hofstee, W. K. B., De Raad, B., & Angleitner, A. (1995). The Five-Factor
Personality Inventory (FFPI). Groningen, Netherlands: University of Groningen.
Heylighen, F., & Dewaele, J.-M. (2002). Variation in the contextuality of language: An empiri-
cal measure. Foundations of Science, 7, 293-340.
Hirsch, J. B., & Peterson, J. B. (2009). Personality and language use in self-narratives. Journal
of Research in Personality, 43, 524-527. doi:10.1016/j.jrp.2009.01.006
Koomen, W., & Dijkstra, W. (1975). Effects of question length on verbal behavior in a
bias-reduced interview situation. European Journal of Social Psychology, 5, 399-403.
doi:10.1002/ejsp.2420050312
Mehl, M. R., Gosling, S. D., & Pennebaker, J. W. (2006). Personality in its natural habitat:
Manifestations and implicit folk theories of personality in daily life. Journal of Personality
and Social Psychology, 90, 862-877. doi:10.1037/0022-3514.90.5.862
Mehl, M. R., & Pennebaker, J. W. (2003). The sounds of social life: A psychometric analysis of
students’ daily social environments and natural conversations. Journal of Personality and
Social Psychology, 84, 857-870. doi:10.1037/0022-3514.84.4.857
Oberlander, J., & Gill, A. J. (2006). Language with character: A stratified corpus comparison
of individual differences in e-mail communication. Discourse Processes, 42, 239-270.
doi:10.1207/s15326950dp4203_1
Pennebaker, J. W., Booth, R. J., & Francis, M. E. (2007). Linguistic Inquiry and Word Count:
LIWC 2007. Austin, TX: LIWC.
Pennebaker, J. W., & King, L. A. (1999). Linguistic styles: Language use as an individual dif-
ference. Journal of Personality and Social Psychology, 77, 1296-1312. doi:10.1037//0022-
3514.77.6.1296
Scherer, K. R. (1979). Personality markers in speech. In K. R. Scherer & H. Giles (Eds.), Social
markers in speech (pp. 147-209). Cambridge, England: Cambridge University Press.
Semin, G. R. (2011). The Linguistic Category Model. In P. A. M. Van Lange, A. Kruglanski
& E. T. Higgins (Eds.), Handbook of theories of social psychology (Vol. 1., pp. 309-326).
Thousand Oaks, CA: Sage.
Semin, G. R., & Fiedler, K. (1988). The cognitive functions of linguistic categories in describing
persons: Social cognition and language. Journal of Personality and Social Psychology, 54,
558-568. doi:10.1037//0022-3514.54.4.558
Thorne, A. (1987). The press of personality: A study of conversations between introverts and extroverts.
Journal of Personality and Social Psychology, 53, 718-726. doi:10.1037//0022-3514.53.4.718
Watson, D., & Clark, L. A. (1997). Extraversion and its positive emotional core. In R. Hogan,
R. Johnson & S. Briggs (Eds.), Handbook of personality psychology (pp. 767-794). New York,
NY: Academic Press.
Yarkoni, T. (2010). Personality in 100,000 words: A large-scale analysis of personality and
word use among bloggers. Journal of Research in Personality, 44, 363-373. doi:10.1016/j.
jrp.2010.04.001
Author Biographies
Camiel J. Beukeboom is an assistant professor in the Department of Communication Science at
VU University, Amsterdam, the Netherlands. His research focuses on interpersonal communication
Beukeboom et al. 201
and language use, with a specific focus on linguistic bias and the antecedents and consequences
of language abstraction and negation use.
Martin Tanis is an assistant professor in the Department of Communication Science at VU
University, Amsterdam, the Netherlands. His research focuses on online social behavior and
communication with a special interest in intra- and intergroup processes.
Ivar E. Vermeulen is an assistant professor in the Department of Communication Science at
VU University, Amsterdam, the Netherlands. His research focuses mostly on implicit processes
in persuasive and group communication.
... To identify personality markers, the relationship between individuals' verbal output and their self-reported personality via standardised questionnaires was usually analysed by means of correlations [54,94] or group comparisons [44]. For example, verbal personality markers were found for word use [44,54,94], phrases [44], and linguistic style [12,43,88] by examining written essays [44,94], self-narratives [54], and text messages [55]. ...
... Extraverted people are characterised by a higher total verbal output; that is, they talk and write more than introverts [24,25,80,93,105]. Furthermore, people high in Extraversion tend to use an implicit and abstract speech style with a simple sentence structure, falling back upon a sparse vocabulary with highly frequent words [12,38,43,88]. Conversely, introverted individuals tend to speak more explicitly, formally, and concretely, expressing themselves with complicated sentences and a rich vocabulary of infrequent words [12,38,43,88]. ...
... Furthermore, people high in Extraversion tend to use an implicit and abstract speech style with a simple sentence structure, falling back upon a sparse vocabulary with highly frequent words [12,38,43,88]. Conversely, introverted individuals tend to speak more explicitly, formally, and concretely, expressing themselves with complicated sentences and a rich vocabulary of infrequent words [12,38,43,88]. People's level of Extraversion is also reflected in their choice of words [44,54,94]. ...
... Ako sme uviedli, introverti majú spravidla lepší výkon dlhodobého zapamätávania, čo by mohlo svedčiť o ich lepšej slovnej zásobe v dôsledku procesu učenia a teda väčšej pestrosti vyjadrovania. Autorkine zistenia korešpondujú aj so zisteniami výskumu vplyvu osobnosti na osvojovanie jazykových zručností, podľa ktorého majú introverti tendenciu k exaktnejšiemu, precíznejšiemu vyjadrovaniu, extroverti naopak k vágnejšiemu (Beukeboom, Tanis & Vermeulen 2013). ...
Book
Full-text available
Not every student can and wants to become an interpreter. It is based on individual personality traits, motivation and abilities, but it is also related to the quality of education, the influence of teachers and other role models. Last but not least, market demands also determine the employability of the interpreter in his/her profession, and other times, coincidental life events may play a crucial role. The monograph looks at the academic training of future interpreters through the prism of the interdisciplinary empirical research findings in the field of cognitive functions and personality traits and abilities. We attempted to interpret the presented conclusions in the context of their significance for interpreting training or rather training of future interpreters for their profession, but also in the context of student personality shaping in general. In the structure of cognitive skills and personality, there are some aspects that can be relatively well shaped in the educational process. Others, on the other hand, are relatively stable and resistant to the process of education and selfeducation. To determine the extent to which the selected aspects can be influenced by training, it is necessary to identify and characterize the various levels of the cognitive processes and personality structure. In the monograph, we focused on cognitive skills, cognitive style, character traits, motivational structure and personality skills that are applied in the interpreting process. Cognitive skills can be understood as partial cognitive mechanisms controlled by the central executive of working memory (or activated long-term memory). Similarly to the existence of capacity and time limits related to working memory, the mental energy we have as interpreters is also limited (Gile 1995). And since we often work at the limit of saturation of this mental energy in the interpreting process, it is crucial to effectively regulate limited cognitive resources so that interpreting performance does not deteriorate. Research suggests that the automation of partial processes relieves mental capacity since automated processes (as procedural memory) do not require intense attention. Simultaneity as a parallel realization of cognitive and linguistic processes can be largely automated and is applied in both basic modes of interpreting. However, compared to simultaneous interpreting, processes related to the ability to abstract, the ability to understand more complex contexts, the ability to organize and structure information in long-term memory and their efficient recalling are to a larger extent applied in consecutive interpreting. In simultaneous interpreting, the ability to react quickly and promptly and flexibility in regulating the fluctuation range of attention under conditions of cognitive and linguistic processes taking place parallelly are likely to be applied to a larger extent than in consecutive interpreting. /118/ The basic cognitive equipment of interpreting students (i.e. cognitive skills and mental abilities) undoubtedly affects the effectiveness of training and the related interpreting performance. However, many of these skills and abilities, e.g. working memory coordination processes, mental flexibility or perceptual speed, or even fluid intelligence, can be developed during training (Macnamara & Conway 2016). At the same time, however, there are mechanisms that are key to interpreting, but are more resistant to training in terms of academic training lasting several semesters. One of them is, for example, the ability to deal with interference and disturbing elements. In this case, it is a characteristic that may be related to the cognitive style of the individual, representing field dependence/independence as a component of the personality responsible for the overall organization of information (Nakonečný 1997). The cognitive style of impulsivity/reflexivity is probably to some extent related to décalage and error rate in interpreting. Speech production, less prone to interference losses, is also likely to be part of the interpreter’s expertise (Moser-Mercer 2000), which he/she acquires by overcoming automation (Ericsson 2000) during long-term, systematic and intensive training. Interpreting performance, but also the speed and efficiency of acquiring and developing skills and abilities during training are influenced by both internal and external factors. Important internal determinants of performance are, among other things, motivational aspects of personality (performance motive, orientation of motivation), physical and mental predispositions. In relation to motivation, it seems that an increased level of motivation (performance motive) is needed to mobilize performance-oriented forces. At the same time, it is an important finding that the advantage belongs to those interpreters or students who experience anxiety in a particular interpreting task (state anxiety), but do not suffer from high trait anxiety, or individuals who are anxious but master effective strategies for managing this anxiety in the interpreting process (Kurz 1996, Hodáková 2020). External determinants include environmental and social impacts (e.g. training quality). An appropriate combination of all these influences can subsequently relatively reliably predict the readiness of students for the interpreter profession. In the monograph, we also dealt with stress factors that affect professional interpreters and interpreting students. And although the nature and intensity of stressful situations are quite different in these two groups, for the long-term successful performance of the interpreter profession but also overall satisfaction in the professional and private life, it is important to master coping strategies and principles of mental hygiene. In our opinion, the academic training of future interpreters can also offer room for such a comprehensive development of students’ personalities. /119/ When reflecting the research findings in the training of interpreting students, it is also important to address the question of whether and how the final thesis, which is one of the prerequisites for successful completion of studies, can be useful for students preparing for the practical interpreting profession and not primarily for an academic career. In this context, it can be stated that in the conditions of Slovak universities, there is a tradition of elaborating final theses on the topic of interpreting. We also tried to integrate some interesting findings of student theses into individual chapters of the monograph. Such theses provide students with the opportunity to develop their thematic competence and broaden their competence profile, which increases the chances of their employability on the market. At the same time, taking part in the research in the role of participants can provide them with effective feedback on their strengths and weaknesses and opportunities to develop their own potential. Effective practical interpreting training based on relevant research findings can also help them to a significant extent. In all these cases, the teacher of interpreting can have a positive effect on students by his/her own practical experience with the interpreting profession (as a role model), the ability to translate the conclusions of empirical research into the didactic process (as a facilitator of cognitive and personal development), and last but not least, by his/her own passion for research (as a leader).
... Many techniques from NLP have been leveraged to examine computational social science problems. Lexicons, such as LIWC [32] and the NRC Emotion Lexicon [33] have seen wide use for gaining insight into personality [34][35][36], sentiment [37], and more. Though lexicons are useful because of their interpretability and ease of use, many were traditionally built using manual annotation [38,39] which is often expensive both financially and with respect to human effort. ...
Thesis
Attitudes are often expressed in what people say and write, as well as the content they choose to interact with. With the proliferation of social media and other online content, we are able to understand how people express their attitudes through large-scale linguistic analyses. Further, people’s attitudes and behaviors are often intertwined: attitude signals can be predictive of future behaviors, and conversely behavioral patterns can reveal underlying attitudes. This thesis explores the development of computational linguistic models to understand attitudes and behaviors. We surface the attitudes that people hold with respect to social roles (e.g., “professor,” “mother”) and compare them across different cultures using corpus-statistics models and dependency-based embedding models. Next, we look at how personal traits are predictive of behavior. To this end, we explore how we can incorporate implicit world knowledge into language models by predicting attitudes towards charitable giving. In this same direction, we examine traits, as expressed on social media, that are indicative of people likely to persist in pursuing self-improvement. We leverage linguistic characteristics such as expressed affect, writing style, and latent topics. Finally, we gain insight into how attitude and behavior give insight to each other by predicting attitudes towards philanthropic causes based on engagement behavior with newsletters and personal background information, using text-aware graph representation models. We also show how behavioral traits present in online communities are predictive of resilient attitude during the COVID-19 pandemic.
... Extraverts are active social explorers; therefore, it makes sense that Extraversion is associated with words that are associated with humans, family, and social processes (Hirsh & Peterson, 2009). Furthermore, researchers have found that introverts use more articles, exclusive words, negations, and tentative wordscategories that result in a more concrete and descriptive language style that is careful, precise, and focused, compared to extraverts who have a more abstract and interpretive language style (Beukeboom et al., 2012). ...
Thesis
Full-text available
Creativity is most commonly assessed through methods such as questionnaires and specific tasks, the validity of which can be weakened by scorer or experimenter error, subjective and response biases, and self-knowledge constraints. Linguistic analysis provides researchers with an automatic, objective method of assessing creativity, free from human error and bias. This study used 419 creativity text samples from a wide range of creative individuals (Big-C, Pro-C, and Small-c) to investigate whether linguistic analysis can, in fact, distinguish between creativity levels and creativity domains using creativity dictionaries and personality dimension language patterns in the Linguistic Inquiry and Word Count (LIWC) text analysis program. Creative individuals used more words on the creativity dictionaries as well as more Introversion and Openness to Experience Language Pattern words than less creative individuals. Regarding creativity domains, eminent artists used more Introversion and Openness to Experience Language Pattern words than eminent scientists. Text analysis through LIWC was able to successfully distinguish between the three creativity levels, in some cases, and the two creativity domains with statistical significance. These findings lend support to the use of linguistic analysis as a partially valid form of creativity assessment.
... For example, positive mood and high power increase people's use of abstract language relative to negative mood and low power (Beukeboom & Semin, 2006;Magee et al., 2010;Smith & Trope, 2006). Personality characteristics such as extraversion are also associated with linguistic abstraction, such that those with high trait extraversion speak more abstractly than those with low trait extraversion (Beukeboom et al., 2013). Demographic factors have likewise been linked with the tendency to speak abstractly, with men, for example, speaking more abstractly than women . ...
Article
Full-text available
There has been much discussion around when people use "I" versus "we" pronouns, and abstract versus concrete communications, as well as how each of these can shape communication effectiveness. In the current research we bring together these separate research streams. Drawing on research arguing that abstract and concrete language are linked with communicative scope, we argue for an association between linguistic abstractness and personal pronoun usage. Across three archival data sets and two experiments, we find support for this association: Speakers who use more concrete language also use more first person singular (vs. plural) pronouns. In two follow-up studies we further find that this association can impact message effectiveness, such that using more first person singular than plural pronouns is increasingly ineffective when using abstract rather than concrete language, and using more concrete language is increasingly effective when using first-person singular rather than plural pronouns. By illustrating the link between linguistic abstraction and pronoun use, we offer insights into previously documented phenomena and suggest a key way of enhancing communication effectiveness. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
... Researchers have reported consistent relationships between linguistic style and the Big Five elements of personality (Pennebaker and King, 1999;Mairesse et al., 2007;Yarkoni, 2010;Iacobelli et al., 2011;Ireland and Mehl, 2014) (see Table 1). Researchers have found that introverts use more articles, exclusive words, negations, and tentative words -categories that result in a more concrete and descriptive language style that is careful, precise, and focused, compared to extraverts who have a more abstract and interpretive language style (Pennebaker and King, 1999;Nowson, 2006;Oberlander and Gill, 2006;Beukeboom et al., 2012). Individuals high in Openness to Experience, compared to those low in Openness, tend to express positive feelings and use articles, longer words, insight words, and inclusive words (Pennebaker and King, 1999;Nowson, 2006). ...
Article
Full-text available
The purpose of this study was twofold: first, to be among the first attempts to validate linguistic analysis as a method of creativity assessment and second, to differentiate between individuals in varying scientific and artistic creativity levels using personality language patterns. Creativity is most commonly assessed through methods such as questionnaires and specific tasks, the validity of which can be weakened by scorer or experimenter error, subjective and response biases, and self-knowledge constraints. Linguistic analysis may provide researchers with an automatic, objective method of assessing creativity, and free from human error and bias. The current study used 419 creativity text samples from a wide range of creative individuals mostly in science (and some in the arts and humanities) to investigate whether linguistic analysis can, in fact, distinguish between creativity levels and creativity domains using creativity dictionaries and personality dimension language patterns, from the linguistic inquiry and word count (LIWC) text analysis program. Creative individuals tended to use more words on the creativity keyword dictionaries as well as more introversion and openness to experience language pattern words than less creative individuals. Regarding creativity domains, eminent scientists used fewer introversion, and openness to experience language pattern words than eminent artists. Text analysis through LIWC was able to partially distinguish between the three creativity levels, in some cases, and the two creativity domains (science and art). These findings lend support to the use of linguistic analysis as a partially valid assessment of scientific and artistic creative achievement.
Article
Research on text analysis has demonstrated that texts can reveal various characteristics of individuals, such as personality, preferences, or future behavior. However, despite its numerous applications in other fields, text analysis has received very little attention in the field of empirical aesthetics. This study aimed to analyze texts written about artworks and examine the relationship between certain demographic factors and the use of words, using a novel framework for computer-based text analysis based on neural embedding. Participants provided textual descriptions of paintings from various genres and eras, along with demographic information such as gender, age, income, frequency of museum visits, and knowledge of artworks. The results revealed a significant relationship between some demographic factors and word usage, while also highlighting the usefulness of the proposed framework.
Chapter
Chapter 1 outlines the major research paradigms in personality investigations, corresponding to the psychodynamic, behaviorist, phenomenological, cognitive social learning, and trait approaches. It highlights their main theoretical assumptions and discusses alternative personality measurements. Among them, the Five Factor Model (FFM; Costa & McCrae, 1985, 1992) is elaborated on in more detail since, firstly, it underlies a vast body of research into personality, and secondly, it constitutes the theoretical framework for one of the research instruments applied in the empirical study discussed in Chaps. 4 and 5. The constituents of the FFM, that is, extraversion, openness to experience, agreeableness, conscientiousness, and neuroticism are analyzed in terms of their underlying facets, and accounted for with regard to heredity. They are also discussed with reference to the affects-behaviors-cognitions-desires framework (ABCDs; Wilt & Revelle, 2015, 2017), considered over human lifespan, and reflected on from the angle of people’s objective biographies as well as considered from the perspective of their impact on learning and the language learning process.
Article
Full-text available
The main hypothesis put forward in the article is that in literary texts, the autonomic or psycho-narrative structure of the work plays a decisive role in the format of realization of reflection. Thus, while the autonomic format requires a different level of processing of lexical inventory, including mental verbs, psycho-narratives, along with mental verbs, have a high frequency of processing of evaluative words and phrases. Also, auto-dialogues are especially distinguished in the format of realization of reflections in auto-narratives, which shows that in these literary texts the auto-reflective solution of situations that led to cognitive dissonance is more common. This, in turn, necessitates the involvement of a different lexical inventory, as well as the structuring of different text architectonics. As auto-dialogic leads to deep self-reflections, polyphony of personality can be observed here, as well as cases of cognitive dissonance accompanied by “self-calming” intensive (auto) dialogic texts.
Article
Full-text available
It is fundamental to gain knowledge on overseas students from Arab countries who enter to Iranian universities in terms of their personality types, learning styles, and learning strategies to further promote the quality of Persian language teaching. This study investigates the relationship between Arab non-native speakers of Persian language and their leaning styles and strategies. To achieve the goal, 50 Persian learners were randomly selected from a Persian Language Center. Data collection instruments were Personality Types (Myers-Briggs, 1962), Learning Style (Kolb, 1984), and leaning strategies (Oxford, 1990) questionnaires used to measure learners' personality types, learning styles, and learning strategies, respectively.
Article
Full-text available
Cognitive tuning accounts argue that both affective feelings and bodily feelings induce changes in information processing (N. Schwarz & G. L. Clore, 1996). This article examines how these effects of feelings are reflected in language abstraction. On the basis of previous work showing that affective cues change language abstraction, we hypothesized that proprioceptive cues (i.e., bodily feelings) associated with global processing (arm flexion) should induce more abstract language use, compared with bodily feelings associated with analytic processing (arm extension). This prediction received support in a study in which participants performed a written self-description task either while pressing their nondominant hand under the table (arm flexion), or on top of the table (arm extension), or while keeping their arm relaxed (control). Implications for interpersonal communication are discussed.
Book
H. J. Eysenck This book is not an introduction to personality research, it is not a textbook, and above all it is not a model of personality. The title, A Modelfor Personality, was chosen on purpose to indicate that we are here concerned with a discussion of how models in this field ought to be constructed, what their functions were, and whether such models or paradigms could with advantage be produced at this stage of development. One particular aspect of personality, extraversion­ introversion (E), has been chosen to exemplify the desiderata which emerge from such a discussion. It is not suggested that personality and E are synonymous - merely that this particular dimension is perhaps better known than any other, has had more experimental work done on it than any other and has acquired a better theoretical substructure, and more links with genetics and physiology, than any other. Hence it seems most likely to serve as an example of how a satisfactory model of personality might ultimately be constructed, i. e. by analogy with E. Other dimensions of personality, such as neuroticism-stability or psycho tic­ ism-superego functioning, are mentioned in the discussion, but only when they overlap or interrelate with E. The book uses E as an example to illustrate the way in which a model of personality can be constructed, but it is in no way a summary of all that is known about E.
Article
The problem dealt with in this book was raised in a classical query over 2000 years ago by Theophrastus, in his book Characters, written when he was 99 years old: “Why is it that while all Greece lies under the same sky and all the Greeks are educated alike, yet we all have characters differently constituted?” Individuality in human beings is so pronounced, and variability so common, that many have despaired of finding any scientific basis for constructing a model of personality; Allport (1937) has given a clear discussion of the many problems raised. The ancient Greeks suggested an answer in terms of traits and types; the theory of the four temperaments which they put forward has lasted longer than perhaps any other psychological theory, but of course it is open to many criticisms. Can modern psychology do any better?
Article
L'auteur discute un modele a cinq facteurs de la personnalite qu'il confronte a d'autres systemes de la personnalite et dont les correlats des dimensions sont analyses ainsi que les problemes methodologiques
Article
In a study of the transactional impact of personality, 52 women were grouped in pairs to get acquainted in two conversations, one with an introvert and one with an extravert. The women were selected from their scores on the Myers-Briggs Type Indicator and were asked to provide accounts of their conversations as they listened to playbacks of their interactions. The conversations were analyzed by a system informed by interactants' accounts. The most distinctive conversational styles occurred in dispositionally matched dyads, with more moderate patterns in mixed dyads: Introverts with introverts engaged in focused problem talk, whereas extraverts with extraverts showed a wider range of topics and more claims of common ground. A qualitative analysis of the accounts suggested that differing assumptions and strategies generated the styles. The findings are discussed in terms of the power of dispositions to create situations—an evocativeness referred to by Murray (1938) as "press"—and for transactional conceptions of introversion and extraversion. (PsycINFO Database Record (c) 2012 APA, all rights reserved)