In this study we investigate how social media shape the networked public sphere and facilitate communication between communities with different political orientations. To explain the distinct topologies of the retweet and mention networks we conjecture that politically motivated individuals provoke interaction by injecting partisan content into information streams whose primary audience consists of ideologically-opposed users.
This research advances how AI systems learn, reason, and solve problems — with direct implications for automation and scientific discovery.
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| Category | 🤖 Artificial Intelligence |
| Published | Aug 03, 2021 |
| Journal | Proceedings of the International AAAI Conference on Web and Social Media |
| Authors | Michael Conover, A. Ratkiewicz, Matthew Francisco, Bruno Gonçalves, Filippo Menczer |
| DOI | 10.1609/icwsm.v5i1.14126 |
| Citations | 625 |
| Source | OpenAlex |