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Presentation of the research by Masafumi Iwanaga at ACM Hypertext 2025

2025年9月18日
Presentation of the research by Masafumi Iwanaga at ACM Hypertext 2025

We presented our research findings at the ACM Conference on Hypertext and Social Media 2025. This research focuses on investigating whether friend recommendation in social media accelerates the formation of echo chambers. In a simulation starting from a subgraph of the actual X (formerly Twitter) follow graph, we compared four types of friend recommendation methods: Friend recommendation based on the similarity of followees’ topics (CM) Friend recommendation based on Most-Common-Neighbors…
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Masafumi Iwanaga, Keishi Tajima

Analysis of Echo Chamber Formation by Friend Recommendation

Proc. of 36th ACM Conference on Hypertext and Social Meda,
pp.38-42, ACM Press, September 2025 (ACM DL)