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20232026
most citedA Study of Partisan News Sharing in the Russian invasion of Ukraine

1 citations · 1 across the 3 of their papers we have counts for

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cs.SI2026

A Comparative Analysis of Social Network Topology in Reddit and Moltbook

Yiming Zhu, Gareth Tyson, Pan Hui

Recent advances in agent-mediated systems have enabled a new paradigm of social network simulation, where AI agents interact with human-like autonomy. This evolution has fostered t…

cs.SI2025

Understanding the Complexities of Responsibly Sharing NSFW Content Online

Shalini Jangra, Zaid Almahmoud, Suparna De +3

Reddit is in the minority of mainstream social platforms that permit posting content that may be considered to be at the edge of what is permissible, including so-called Not Safe F…

cs.SI2025

Beyond Single-Tokenomics: How Farcaster's Pluralistic Incentives Reshape Social Networking

Wen Yang, Qiming Ye, Onur Ascigil +4

This paper presents the first empirical analysis of how diverse token-based reward mechanisms impact platform dynamics and user behaviors. For this, we gather a unique, large-scale…

cs.SI2025

Characterizing LLM-driven Social Network: The Chirper.ai Case

Yiming Zhu, Yupeng He, Ehsan-Ul Haq +2

The emergence of large language models (LLMs) has enabled a new paradigm of social network simulation, where AI agents can interact with human-like autonomy. Recent research has ex…

cs.SI2025

Unpacking the Layers: Exploring Self-Disclosure Norms, Engagement Dynamics, and Privacy Implications

Ehsan-Ul Haq, Shalini Jangra, Suparna De +2

This paper characterizes the self-disclosure behavior of Reddit users across 11 different types of self-disclosure. We find that at least half of the users share some type of discl…

cs.SI20231 cited

A Study of Partisan News Sharing in the Russian invasion of Ukraine

Yiming Zhu, Ehsan-Ul Haq, Gareth Tyson +3

Since the Russian invasion of Ukraine, a large volume of biased and partisan news has been spread via social media platforms. As this may lead to wider societal issues, we argue th…