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Who is bragging more online? A large scale analysis of bragging in social media

Mali Jin, Daniel Preoţiuc-Pietro, A. Seza Doğruöz (UGent) and Nikolaos Aletras
(2024) Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024). In COLING ; LREC proceedings p.17575-17587
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Abstract
Bragging is the act of uttering statements that are likely to be positively viewed by others and it is extensively employed in human communication with the aim to build a positive self-image of oneself. Social media is a natural platform for users to employ bragging in order to gain admiration, respect, attention and followers from their audiences. Yet, little is known about the scale of bragging online and its characteristics. This paper employs computational sociolinguistics methods to conduct the first large scale study of bragging behavior on Twitter (U.S.) by focusing on its overall prevalence, temporal dynamics and impact of demographic factors. Our study shows that the prevalence of bragging decreases over time within the same population of users. In addition, younger, more educated and popular users in the U.S. are more likely to brag. Finally, we conduct an extensive linguistics analysis to unveil specific bragging themes associated with different user traits.
Keywords
bragging, social media, computational sociolinguistics, computational linguistics

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MLA
Jin, Mali, et al. “Who Is Bragging More Online? A Large Scale Analysis of Bragging in Social Media.” Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), edited by Nicoletta Calzolari et al., ELRA, 2024, pp. 17575–87.
APA
Jin, M., Preoţiuc-Pietro, D., Doğruöz, A. S., & Aletras, N. (2024). Who is bragging more online? A large scale analysis of bragging in social media. In N. Calzolari, M.-Y. Kan, V. Hoste, A. Lenci, S. Sakti, & N. Xue (Eds.), Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) (pp. 17575–17587). ELRA.
Chicago author-date
Jin, Mali, Daniel Preoţiuc-Pietro, A. Seza Doğruöz, and Nikolaos Aletras. 2024. “Who Is Bragging More Online? A Large Scale Analysis of Bragging in Social Media.” In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), edited by Nicoletta Calzolari, Min-Yen Kan, Veronique Hoste, Alessandro Lenci, Sakriani Sakti, and Nianwen Xue, 17575–87. ELRA.
Chicago author-date (all authors)
Jin, Mali, Daniel Preoţiuc-Pietro, A. Seza Doğruöz, and Nikolaos Aletras. 2024. “Who Is Bragging More Online? A Large Scale Analysis of Bragging in Social Media.” In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), ed by. Nicoletta Calzolari, Min-Yen Kan, Veronique Hoste, Alessandro Lenci, Sakriani Sakti, and Nianwen Xue, 17575–17587. ELRA.
Vancouver
1.
Jin M, Preoţiuc-Pietro D, Doğruöz AS, Aletras N. Who is bragging more online? A large scale analysis of bragging in social media. In: Calzolari N, Kan M-Y, Hoste V, Lenci A, Sakti S, Xue N, editors. Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024). ELRA; 2024. p. 17575–87.
IEEE
[1]
M. Jin, D. Preoţiuc-Pietro, A. S. Doğruöz, and N. Aletras, “Who is bragging more online? A large scale analysis of bragging in social media,” in Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), Turin, Italy, 2024, pp. 17575–17587.
@inproceedings{01HZ7DPXWSQTNNZKH1BJMZR94G,
  abstract     = {{Bragging is the act of uttering statements that are likely to be positively viewed by others and it is extensively employed in human communication with the aim to build a positive self-image of oneself. Social media is a natural platform for users to employ bragging in order to gain admiration, respect, attention and followers from their audiences. Yet, little is known about the scale of bragging online and its characteristics. This paper employs computational sociolinguistics methods to conduct the first large scale study of bragging behavior on Twitter (U.S.) by focusing on its overall prevalence, temporal dynamics and impact of demographic factors. Our study shows that the prevalence of bragging decreases over time within the same population of users. In addition, younger, more educated and popular users in the U.S. are more likely to brag. Finally, we conduct an extensive linguistics analysis to unveil specific bragging themes associated with different user traits.}},
  author       = {{Jin, Mali and Preoţiuc-Pietro, Daniel and Doğruöz, A. Seza and Aletras, Nikolaos}},
  booktitle    = {{Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)}},
  editor       = {{Calzolari, Nicoletta and Kan, Min-Yen and Hoste, Veronique and Lenci, Alessandro and Sakti, Sakriani and Xue, Nianwen}},
  isbn         = {{9782493814104}},
  issn         = {{2951-2093}},
  keywords     = {{bragging,social media,computational sociolinguistics,computational linguistics}},
  language     = {{eng}},
  location     = {{Turin, Italy}},
  pages        = {{17575--17587}},
  publisher    = {{ELRA}},
  title        = {{Who is bragging more online? A large scale analysis of bragging in social media}},
  url          = {{https://aclanthology.org/2024.lrec-main.1529}},
  year         = {{2024}},
}