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What Your Tweets Say About You: A Case Study of Extraversion and Word Usage

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4th EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing

Part of the book series: EAI/Springer Innovations in Communication and Computing ((EAISICC))

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Abstract

Social networking websites are a popular platform for social interaction and exchange of information and communication. Research in the past has explored the role of the theory of personality and users of social networking sites and successfully established a relationship between users of such sites and personality traits. While most of the work in literature has focused on predicting, with varying degrees of accuracy, the personality traits of Twitter users, the current work focused on determining whether a relationship exists between the personality traits and the nature of tweets. The present study not only explored the application of sentiment analysis and Big Five personality model to examine the personality trait through tweets, but also attempts to establish a relationship between “extraversion” and the polarity of tweets. Results of the study showed that users with extraversion as a dominant trait tend to tweet more positively.

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References

  1. D.J. Hughes, M. Rowe, M. Batey, A. Lee, A tale of two sites: Twitter vs. Facebook and the personality predictors of social media usage. Comput. Hum. Behav. 28(2), 561–569 (2012)., ISSN 0747-5632

    Article  Google Scholar 

  2. Y. Amichai-Hamburger, G. Wainapel, S. Fox, On the Internet no one knows I’m an introvert’: Extroversion, neuroticism, and Internet interaction. CyberPsychol. Behav. 5, 125–128 (2002)

    Article  Google Scholar 

  3. Y. Amichai-Hamburger, E. Ben-Artzi, Loneliness and Internet use. Comput. Hum. Behav. 19, 71–80 (2003)

    Article  Google Scholar 

  4. Y. Amichai-Hamburger, G. Vinitzky, Social network use and personality. Comput. Hum. Behav. 26(6), 1289–1295 (2010) ISSN 0747-5632

    Article  Google Scholar 

  5. P.S. Dandannavar, S.R. Mangalwede, P.M. Kulkarni, Social media text – A source for personality prediction, in 2018 International Conference on Computational Techniques, Electronics and Mechanical Systems (CTEMS), (Belgaum, 2018), pp. 62–65

    Google Scholar 

  6. K. Dutta, V.K. Singh, P. Chakraborty, et al., Analyzing Big-Five personality traits of Indian celebrities using online social media. Psychol. Stud. 62, 113–124 (2017)

    Article  Google Scholar 

  7. C.H. Lee, K. Kim, Y.S. Seo, C.K. Chung, The relations between personality and language use. J. Gen. Psychol. 134(4), 405–413 (2007)

    Article  Google Scholar 

  8. J.W. Pennebaker, L.A. King, Linguistic styles: Language use as an individual difference. J. Pers. Soc. Psychol. 77, 1296–1312 (1999)

    Article  Google Scholar 

  9. Y.A. Hamburger, E. Ben-Artzi, The relationship between extraversion and neuroticism and the different uses of the Internet. Comput. Hum. Behav. 16(4), 441–449 (2000)., ISSN 0747-5632

    Article  Google Scholar 

  10. S. Argamon, S. Dhawle, M. Koppel, J. Pennebaker, Lexical predictors of personality type. Paper presented at the Joint Annual Meeting of the Interface and the Classification Society of North America, St Louis, MO, 8–12 June 2005

    Google Scholar 

  11. H. Green, J. Hinds, A. Joinson, How is extraversion related to social media use? A literature review. Personal. Individ. Differ. 164, 110040 (2020)., ISSN 0191-8869

    Article  Google Scholar 

  12. E.P. Tighe, C.K. Cheng, Modeling Personality Traits of Filipino Twitter Users (PEOPLES@NAACL-HTL, 2018)

    Book  Google Scholar 

  13. T. Blumer, N. Doering, Are we the same online? The expression of the five factor personality traits on the computer and the Internet. Cyber Psychol. J. Psycho. Res. Cyberspace 6(3) (2012) article 5

    Google Scholar 

  14. H.G. de Zúñiga et al., Personality traits and social media use in 20 countries: How personality relates to frequency of social media use, social media news use, and social media use for social interaction. Cyber Psychol. Behav. Soc. Netw. 20(9), 540–552 (2017)

    Article  Google Scholar 

  15. T. Correa, A.W. Hinsley, H.G. de Zúñiga, Who interacts on the Web?: The intersection of users’ personality and social media use. Comput. Hum. Behav. 26(2), 247–253 (2010)., ISSN 0747-5632

    Article  Google Scholar 

  16. J.M. Balmaceda, S. Schiaffino, D. Godoy, How do personality traits affect communication among users in online social networks? Online Inf. Rev. 38(1), 136–153 (2014)

    Article  Google Scholar 

  17. L.E. Annisette, K.D. Lafreniere, Social media, texting, and personality: A test of the shallowing hypothesis. Personality and Individual Differences 115(2017), 154–158 (2016) ISSN 01918869

    Google Scholar 

  18. N. Olivares, L.M. Vivanco, A. Figuero, The big five: Discovering linguistic characteristics that typify distinct personality traits across Yahoo! Answers members. Computación y Sistemas 22(3), 795–807 (2018)

    Article  Google Scholar 

  19. R. Guadagno, B. Okdie, C. Eno, Who blogs? Personality predictors of blogging. Comput. Hum. Behav., 1993–2004 (2013)

    Google Scholar 

  20. F. Alam et al., Personality Traits Recognition on Social Network – Facebook (ICWSM, 2013)

    Google Scholar 

  21. M.S. Salem, S.S. Ismail, M. Aref, Personality traits for Egyptian Twitter users dataset, in Proceedings of the 2019 8th International Conference on Software and Information Engineering (ICSIE ’19), (Association for Computing Machinery, New York, 2019), pp. 206–211

    Google Scholar 

  22. A. Souri, S. Hosseinpour, A.M. Rahmani, Personality classification based on profiles of social networks’ users and the five-factor model of personality. Hum. Cent. Comput. Inf. Sci. 8, 24 (2018)

    Article  Google Scholar 

  23. D. Quercia, M. Kosinski, D. Stillwell, J. Crowcroft, Our Twitter profiles, our selves: Predicting personality with Twitter, in 2011 IEEE Third International Conference on Privacy, Security, Risk and Trust and 2011 IEEE Third International Conference on Social Computing, (Boston, 2011), pp. 180–185

    Google Scholar 

  24. T. Yarkoni, Personality in 100,000 words: A large-scale analysis of personality and word use among bloggers. J. Res. Pers. 44, 363–373 (2010). https://doi.org/10.1016/j.jrp.2010.04.001

    Article  Google Scholar 

  25. L. Gou, J. Mahmud, E. Haber, M. Zhou, PersonalityViz: A visualization tool to analyze people’s personality with social media, 45–46 (2013). https://doi.org/10.1145/2451176.2451191

  26. M. Stankevich et al., Analysis of Big Five Personality Traits by Processing of Social Media Users Activity Features (DAMDID/RCDL, 2018)

    Google Scholar 

  27. T. Correa, I. Bachmann, A. Willard Hensley, H. Gil de Zúñiga, Personality and social media use, in Organizations and Social Networking: Utilizing Social Media to Engage Consumers, ed. by E. Y. Li, S. Loh, C. Evans, F. Lorenzi, (IGI Global, Hershey, 2013), pp. 41–61

    Chapter  Google Scholar 

  28. “Bloggers’ reveal personalities with word choice”, https://www.colorado.edu/asmagazine/2010/12/01/bloggers-reveal-personalities-word-choice

  29. A. Cargill, The lexical hypothesis & the Big Five model. Int. J. Psych. Res., 2 (2019). https://doi.org/10.33425/2641-4317.1025

  30. L.R. Goldberg, An alternative description of personality: The big-five factor structure. J. Pers. Soc. Psychol. 59, 1216–1229 (1990)

    Article  Google Scholar 

  31. E. Roivainen, Frequency of the use of English personality adjectives: Implications for personality theory. J. Res. Pers. 47(4), 417–420 (2013)., ISSN 0092-6566

    Article  Google Scholar 

  32. P.S. Dandannavar, S.R. Mangalwede, P.M. Kulkarni, Predicting the primary dominant personality trait of perceived leaders by mapping linguistic cues from social media data onto the big five model, in Advanced Machine Learning Technologies and Applications. AMLTA 2020, Advances in Intelligent Systems and Computing, ed. by A. Hassanien, R. Bhatnagar, A. Darwish, vol. 1141, (Springer, Singapore)

    Google Scholar 

  33. A.J. Timothy, J.E. Bono, R. Ilies, M.W. Gerhardt, Personality and leadership: A qualitative and quantitative review. J. Appl. Psychol., Copyright 2002 by the American Psychological Association, Inc. 87(4), 765–780 (2002) 0021-9010/02/$5.00

    Google Scholar 

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Author information

Authors and Affiliations

  1. Department of CSE, KLS Gogte Institute of Technology, Belagavi, Karnataka, India

    P. S. Dandannavar & S. R. Mangalwede

  2. Department of MBA, KLS Gogte Institute of Technology, Belagavi, Karnataka, India

    P. M. Kulkarni

Authors
  1. P. S. Dandannavar
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  2. S. R. Mangalwede
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  3. P. M. Kulkarni
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Corresponding author

Correspondence to P. S. Dandannavar .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Sri Eshwar College of Engineering, Coimbatore, Tamil Nadu, India

    Anandakumar Haldorai

  2. Department of Computer Science and Engineering, CMR University, Bengaluru, KA, India

    Arulmurugan Ramu

  3. Sri Eshwar College of Engineering, Coimbatore, Tamil Nadu, India

    Sudha Mohanram

  4. Canadian University Dubai, Dubai, United Arab Emirates

    Rita Zgheib

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Dandannavar, P.S., Mangalwede, S.R., Kulkarni, P.M. (2023). What Your Tweets Say About You: A Case Study of Extraversion and Word Usage. In: Haldorai, A., Ramu, A., Mohanram, S., Zgheib, R. (eds) 4th EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-031-07654-1_10

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  • DOI: https://doi.org/10.1007/978-3-031-07654-1_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-07653-4

  • Online ISBN: 978-3-031-07654-1

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