We gratefully acknowledge support from
the Simons Foundation and member institutions.
Full-text links:

Download:

Current browse context:

cs.CL

Change to browse by:

References & Citations

DBLP - CS Bibliography

Bookmark

(what is this?)
CiteULike logo BibSonomy logo Mendeley logo del.icio.us logo Digg logo Reddit logo

Computer Science > Computation and Language

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

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.
Comments: Accepted at LREC-COLING 2024
Subjects: Computation and Language (cs.CL); Social and Information Networks (cs.SI)
Cite as: arXiv:2403.16668 [cs.CL]
  (or arXiv:2403.16668v1 [cs.CL] for this version)

Submission history

From: Mali Jin [view email]
[v1] Mon, 25 Mar 2024 12:07:21 GMT (1862kb,D)

Link back to: arXiv, form interface, contact.