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- keynoteMay 2024
Revisiting the Behavioral Foundations of User Modeling Algorithms
WWW '24: Proceedings of the ACM Web Conference 2024Page 1https://doi.org/10.1145/3589334.3649114One of the fundamental problems that platform algorithms face is the process of inferring user preferences from observed behavior; the vast amounts of data a platform collects become much less useful if they cannot effectively inform this type of ...
Bridging or Breaking: Impact of Intergroup Interactions on Religious Polarization
WWW '24: Proceedings of the ACM Web Conference 2024Pages 2672–2683https://doi.org/10.1145/3589334.3645675While exposure to diverse viewpoints may reduce polarization, it can also have a backfire effect and exacerbate polarization when the discussion is adversarial. Here, we examine the question whether intergroup interactions around important events affect ...
- research-articleMay 2024
Can One Embedding Fit All? A Multi-Interest Learning Paradigm Towards Improving User Interest Diversity Fairness
WWW '24: Proceedings of the ACM Web Conference 2024Pages 1237–1248https://doi.org/10.1145/3589334.3645662Recommender systems (RSs) have gained widespread applications across various domains owing to the superior ability to capture users' interests. However, the complexity and nuanced nature of users' interests, which span a wide range of diversity, pose a ...
- research-articleMay 2024
Not All Asians are the Same: A Disaggregated Approach to Identifying Anti-Asian Racism in Social Media
WWW '24: Proceedings of the ACM Web Conference 2024Pages 2615–2626https://doi.org/10.1145/3589334.3645630Recent policy initiatives have acknowledged the importance of disaggregating data pertaining to diverse Asian ethnic communities to gain a more comprehensive understanding of their current status and to improve their overall well-being. However, research ...