Demo Data from SIGIR 2026 / reviewers in the wild / expert
Jiyin Cao
dblp:315/5641
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2023
0000-0003-0227-3697ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 1 · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Computational social science and digital humanities · 100% | |
| Human-computer interaction and pervasive computing
1 paper |
Collaborative and social computing · 100% | |
| Databases, data mining, and information retrieval
1 paper |
Web and social media mining · 100% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computational social science and digital humanities › cultural analysis
cultural differences |
0.7 | 1 | 2023 | Cultural Differences in Friendship Network Behaviors: A Snapchat Case Study · CHI 2023 |
Computational social science and digital humanities
online behavior |
0.7 | 1 | 2023 | Cultural Differences in Friendship Network Behaviors: A Snapchat Case Study · CHI 2023 |
Collaborative and social computing
social media |
0.7 | 1 | 2023 | Cultural Differences in Friendship Network Behaviors: A Snapchat Case Study · CHI 2023 |
Methods — techniques the papers use, named apart from their topics
regression model · 2.0network analysis · 2.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | Cultural Differences in Friendship Network Behaviors: A Snapchat Case StudyabstractCulture shapes people’s behavior, both online and offline. Surprisingly, there is sparse research on how cultural context affects network formation and content consumption on social media. We analyzed the friendship networks and dyadic relations between content producers and consumers across 73 countries through a cultural lens in a closed-network setting. Closed networks allow for intimate bonds and self-expression, providing a natural setting to study cultural differences in behavior. We studied three theoretical frameworks of culture - individualism, relational mobility, and tightness. We found that friendship networks formed across different cultures differ in egocentricity, meaning the connectedness between a user’s friends. Individualism, mobility, and looseness also significantly negatively impact how tie strength affects content consumption. Our findings show how culture affects social media behavior, and we outline how researchers can incorporate this in their work. Our work has implications for content recommendations and can improve content engagement. Agrima Seth, Jiyin Cao, Ron Dotsch, Yozen Liu, Maarten W. Bos |
CHI | 2 |