What Were They Thinking? Analytic and Cognitive Language in Instagram Captions
DOI:
https://doi.org/10.17140/SBRPOJ-4-117Keywords:
Language use, Status, Instagram, Sex differences in linguisticsAbstract
Background
We examined content and expression of Instagram captions of major celebrities who differed according to sex and status, with a
focus on determining whether these variables influenced the use of analytic language and cognitive content.
Method
Instagram captions (n=942) were analyzed with the linguistic inquiry and word count (LIWC), which delineated percentage of
language reflecting analytical thought and various cognitive mechanisms, such as causality and discrepancy.
Results
Men and low-status persons used more functional analytic language, demonstrating critical thought; in contrast, high-status celeb
rities showed more causality. Women more than men “qualified” their speech with discrepancy. These findings were not a function
of sentence length.
Conclusion
Status increased the tendency to construct and explain, perhaps because higher status celebrities (particularly women) knew that
they could hold followers’ attention with complex content. The tendency to write captions that were concrete was seen in those
lower-status persons who may have perceived that followers would not wade through a lot of complicated thoughts. Thus, status
contributes to the manner in captioning based, perhaps, on having a broader audience willing to read more complex language.
References
Kern M, Eichstaedt J, Seligman M, et al. From ‘Sooo excited!!!’ to ‘So proud’: Using language to study development. Dev Psychol. 2014; 50(1): 178-188. doi: 10.1037/a0035048
Pennebaker JW, Boyd, RL, Jordan K, Blackburn, K.The devel-opment and psychometric properties of LIWC2015. 2015. Austin, TX: University of Texas at Austin.
Mehl M, Pennebaker JW. The sounds of social life: A psycho-metric analysis of students’ daily social environments and natu-ral conversations. J Pers Soc Psychol. 2003; 84(4): 857-870. doi: 10.1037/0022-3514.84.4.857
Park G, Schwartz HA, Eichstaedt JC, et al. Automatic person-ality assessment through social media language. J Pers Soc Psychol. 2015; 108(6): 934-952. doi: 10.1037/pspp0000020 Original Research | Volume 4 | Number 1|
Golbeck J. Negativity and anti-social attention seeking among narcissists on Twitter: A linguistic analysis. First Monday. 2016; 21(3): Accessed August 2, 2016.
Pennebaker JW, King L. Linguistic styles: Language use as an individual difference. J Pers Soc Psychol. 1999; 77(6): 1296-1312. doi: 10.1037//0022-3514.77.6.1296
Schwartz HA, Eichstaedt JC, Kern ML, et al. Personality, gen-der, and age in the language of social media: The open vocabu-lary approach. PLoS One. 2013; 8(9): e73791. doi: 10.1371/journal. pone.0073791
Stever GS, Lawson K. Twitter as a way for celebrities to com-municate with fans: Implications for the study of parasocial inter-action. North American Journal of Psychology. 2013; 15(2): 339-354.
Brownlow S, Beach JC, Silver NC. How social status influences “affect language” in Tweets. Psychol Cogn Sci Open J. 2017; 3(4): 100- 104. doi: 10.17140/PCSOJ-3-130
Beach JC, Brownlow S, Greene, M, Silver NC. The “I”s have it: Sex and social status differences on Twitter. Soc Behav Res Pract Open J. 2016; 1(1): 17-21. doi: 10.17140/SBRPOJ-1-104
Pennebaker J, Chung C, Frazee J, Lavergne G, Beaver D. When small words foretell academic success: The case of college admis-sions essays. PLoS One. 2014; 9(12): e115844. doi: 10.1371/journal. pone.0115844 Submit your article to this journal | https://openventio.org/submit-manuscript/ Original Research | Volume 4 | Number 1| Brownlow S, et al
Tausczik Y, Pennebaker J. The psychological meaning of words: LIWC and computerized text analysis methods. Jour-nal Of Language And Social Psychology. 2010; 29(1): 24-54. doi: 10.1177/0261927X09351676
Pennebaker J, Stone L. Words of wisdom: Language use over the life span. J Pers Soc Psychol. 2003; 85(2): 291-301. doi: 10.1037/0022-3514.85.2.291
Newman M, Groom C, Handelman L, Pennebaker J. Gender dif-ferences in language use: An analysis of 14,000 text samples. Discourse Processes. 2008; 45(3): 211-236. doi: 10.1080/01638530802073712
Jordan KN, Sterling J, Pennebaker JW, Boyd RL. Examining long-term political trends in politics and culture through language of political leaders and cultural institutions. Proceedings Of the Na-tional Academy of Sciences. 2019; 116(9): 3476-3481 doi: 10.1073/ pnas.1811987116
Ahlgren M. 28+ Instagram statistics and facts for 2019. Web site. https://www.websitehostingrating.com/instagram-statistics/. Accessed May 15, 2019.
Most Powerful Celebrities with Highest Social Ranking. Web site. www.ranker.com. Accessed August 10, 2018.
Ward J. A content analysis of celebrity Instagram posts and parasocial interaction. Elon Journal of Undergraduate Research in Com-munications. 2016; 7(1): 44-51.
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