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20212025
most citedSocial Media Polarization and Echo Chambers in the Context of COVID-19: Case Study

118 citations · 181 across the 15 of their papers we have counts for

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Showing 2022Show all

6 papers · 1 filter

cs.SI2022★ 9 cited

Reciprocity, Homophily, and Social Network Effects in Pictorial Communication: A Case Study of Bitmoji Stickers

Julie Jiang, Ron Dotsch, Mireia Triguero Roura +4

Pictorial emojis and stickers are commonly used in online social networking to facilitate and aid communications. We delve into the use of Bitmoji stickers, a highly expressive for…

cs.SI2022

What are Your Pronouns? Examining Gender Pronoun Usage on Twitter

Julie Jiang, Emily Chen, Luca Luceri +4

Stating your gender pronouns, along with your name, is becoming the new norm of self-introductions at school, at the workplace, and online. The increasing prevalence and awareness…

cs.SI2022★ 11 cited

Geolocated Social Media Posts are Happier: Understanding the Characteristics of Check-in Posts on Twitter

Julie Jiang, Jesse Thomason, Francesco Barbieri +1

The increasing prevalence of location-sharing features on social media has enabled researchers to ground computational social science research using geolocated data, affording oppo…

cs.SI2022★ 12 cited

The Gift That Keeps on Giving: Generosity is Contagious in Multiplayer Online Games

Alexander J. Bisberg, Julie Jiang, Yilei Zeng +2

Understanding social interactions and generous behaviors have long been of considerable interest in the social science community. While the contagion of generosity is documented in…

cs.SI2022★ 7 cited

Retweet-BERT: Political Leaning Detection Using Language Features and Information Diffusion on Social Networks

Julie Jiang, Xiang Ren, Emilio Ferrara

Estimating the political leanings of social media users is a challenging and ever more pressing problem given the increase in social media consumption. We introduce Retweet-BERT, a…

cs.LG2022

Zero-shot meta-learning for small-scale data from human subjects

Julie Jiang, Kristina Lerman, Emilio Ferrara

While developments in machine learning led to impressive performance gains on big data, many human subjects data are, in actuality, small and sparsely labeled. Existing methods app…