5 citations · 22 across the 20 of their papers we have counts for
7 papers · 1 filter
Joint Trust-Distrust Structure Shapes Belief Propagation and Collective Dynamics
Mozhgan Khanjanianpak, Yu-Ru Lin
Belief propagation in social networks depends on how trust and distrust jointly shape interpersonal influence. We develop a network model that treats trust and distrust as distinct…
Regimes of Influence under Trust-Distrust Gating
Razieh Masoumi, Ahana Biswas, Yu-Ru Lin
In many social communities, individuals can simultaneously trust and distrust the same source, a feature standard opinion-dynamics models often ignore. We formalize this ambivalenc…
Lost in Delusion: Examining LLM Safety Under User Delusions and Distress
Andrew Aquilina, Chetna Nihalani, Vasudha Varadarajan +3
LLM chatbots increasingly serve as a first source of support for people in psychological distress, including those whose distress is entangled with delusional beliefs. Prior work o…
Shifting Patterns of Extremist Discourse on Facebook: Analyzing Trends and Developments During the Israel-Hamas Conflict
Rr. Nefriana, Muheng Yan, Ahmad Diab +5
This short paper explores trends in extremist Facebook data from July 2023 to June 2024. We examined engagement, sentiment, and topics within Facebook groups categorized as anti-Is…
Auditing Support Strategies in LLMs through Grounded Multi-Turn Social Simulation
Michelle Star, Andrew Aquilina, Yu-Ru Lin
When users seek social support from chatbots, they disclose their situation gradually, yet most evaluations of supportive LLMs rely on single-turn, fully specified prompts. We intr…
From Attention to Dialogue: Does Audience Engagement Reinforce Constructive Cross-Party Communication?
Ahana Biswas, Yu-Ru Lin
While existing works have emphasized how elites shape mass opinion, we ask whether the reverse also holds: do audience reactions on social media actively shape elite behavior? We e…
De-paradox Tree: Breaking Down Simpson's Paradox via A Kernel-Based Partition Algorithm
Xian Teng, Yu-Ru Lin
Real-world observational datasets and machine learning have revolutionized data-driven decision-making, yet many models rely on empirical associations that may be misleading due to…