Sentiment Paradoxes in Social Networks
Why Your Friends Are More Positive Than You
Bibliographic Data
| ID | 19129754 |
|---|---|
| Authors | Xinyi Zhou (0000-0002-2388-254X, Syracuse University, corresponding author), Shengmin Jin (0000-0003-2882-5437, Syracuse University), Reza Zafarani (0000-0002-0352-848X, Syracuse University) |
| Year | 2020 |
| Volume | 14 |
| Pages | 798-807 |
| Publication date | 2020-05-26 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Proceedings of the International AAAI Conference on Web and Social Media (JOURNAL) |
| Journal identifiers | ISSN: 2162-3449 • E-ISSN: 2334-0770 |
| Publisher | Association for the Advancement of Artificial Intelligence (AAAI) (PUBLISHER) |
| DOI | 10.1609/icwsm.v14i1.7344 |
| OpenAlex | W3021955521 |
| Language | EN |
| References cited | 7 |
Most people consider their friends to be more positive than themselves, exhibiting a Sentiment Paradox. Psychology research attributes this paradox to human cognition bias. With the goal to understand this phenomenon, we study sentiment paradoxes in social networks. Our work shows that social connections (friends, followees, or followers) of users are indeed (not just illusively) more positive than the users themselves. This is mostly due to positive users having more friends. We identify five sentiment paradoxes at different network levels ranging from triads to large-scale communities. Empirical and theoretical evidence are provided to validate the existence of such sentiment paradoxes. By investigating the relationships between the sentiment paradox and other well-developed network paradoxes, i.e., friendship paradox and activity paradox, we find that user sentiments are positively correlated to their number of friends but rarely to their social activity. Finally, we demonstrate how sentiment paradoxes can be used to predict user sentiments
Epistemology · Friendship · Phenomenon · Sentiment analysis · Social activity · Social media · World Wide Web · Complex Network Analysis Techniques · Computer Science · Misinformation and Its Impacts · Opinion Dynamics and Social Influence · Philosophy · Psychology · Social Psychology · Artificial Intelligence
| Highly cited | No |
|---|