5 citations · 22 across the 20 of their papers we have counts for
22 papers
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…
Leader-driven or Leaderless: How Participation Structure Sustains Engagement and Shapes Narratives in Online Hate Communities
Rr. Nefriana, Muheng Yan, Rebecca Hwa +1
Extremist communities increasingly rely on social media to sustain and amplify divisive discourse. However, the relationship between their internal participation structures, audien…
GenAI vs. Human Fact-Checkers: Accurate Ratings, Flawed Rationales
Yuehong Cassandra Tai, Khushi Navin Patni, Nicholas Daniel Hemauer +2
Despite recent advances in understanding the capabilities and limits of generative artificial intelligence (GenAI) models, we are just beginning to understand their capacity to ass…
Human-centered explanation does not fit all: The interplay of sociotechnical, cognitive, and individual factors in the effect AI explanations in algorithmic decision-making
Yongsu Ahn, Yu-Ru Lin, Malihe Alikhani +1
Recent XAI studies have investigated what constitutes a \textit{good} explanation in AI-assisted decision-making. Despite the widely accepted human-friendly properties of explanati…
Interactive Counterfactual Exploration of Algorithmic Harms in Recommender Systems
Yongsu Ahn, Quinn K Wolter, Jonilyn Dick +2
Recommender systems have become integral to digital experiences, shaping user interactions and preferences across various platforms. Despite their widespread use, these systems oft…
Political Elites in the Attention Economy: Visibility Over Civility and Credibility?
Ahana Biswas, Yu-Ru Lin, Yuehong Cassandra Tai +1
Elected officials have privileged roles in public communication. In contrast to national politicians, whose posting content is more likely to be closely scrutinized by a robust eco…
Classifying Conspiratorial Narratives At Scale: False Alarms and Erroneous Connections
Ahmad Diab, Rr. Nefriana, Yu-Ru Lin
Online discussions frequently involve conspiracy theories, which can contribute to the proliferation of belief in them. However, not all discussions surrounding conspiracy theories…
Break Out of a Pigeonhole: A Unified Framework for Examining Miscalibration, Bias, and Stereotype in Recommender Systems
Yongsu Ahn, Yu-Ru Lin
Despite the benefits of personalizing items and information tailored to users' needs, it has been found that recommender systems tend to introduce biases that favor popular items o…
The Public Algorithms Survey in Allegheny County
Yu-Ru Lin, Beth Schwanke, Rosta Farzan +4
This survey study focuses on public opinion regarding the use of algorithmic decision-making in government sectors, specifically in Allegheny County, Pennsylvania. Algorithms are b…
HungerGist: An Interpretable Predictive Model for Food Insecurity
Yongsu Ahn, Muheng Yan, Yu-Ru Lin +1
The escalating food insecurity in Africa, caused by factors such as war, climate change, and poverty, demonstrates the critical need for advanced early warning systems. Traditional…
The Dynamics of Political Narratives During the Russian Invasion of Ukraine
Ahana Biswas, Tim Niven, Yu-Ru Lin
The Russian invasion of Ukraine has elicited a diverse array of responses from nations around the globe. During a global conflict, polarized narratives are spread on social media t…
Mapping Language Literacy At Scale: A Case Study on Facebook
Yu-Ru Lin, Shaomei Wu, Winter Mason
Literacy is one of the most fundamental skills for people to access and navigate today's digital environment. This work systematically studies the language literacy skills of onlin…
Online to Offline Crossover of White Supremacist Propaganda
Ahmad Diab, Bolor-Erdene Jagdagdorj, Lynnette Hui Xian Ng +2
White supremacist extremist groups are a significant domestic terror threat in many Western nations. These groups harness the Internet to spread their ideology via online platforms…
Whose Advantage? Measuring Attention Dynamics across YouTube and Twitter on Controversial Topics
JooYoung Lee, Siqi Wu, Ali Mert Ertugrul +2
The ideological asymmetries have been recently observed in contested online spaces, where conservative voices seem to be relatively more pronounced even though liberals are known t…
Visual Persuasion in COVID-19 Social Media Content: A Multi-Modal Characterization
Mesut Erhan Unal, Adriana Kovashka, Wen-Ting Chung +1
Social media content routinely incorporates multi-modal design to covey information and shape meanings, and sway interpretations toward desirable implications, but the choices and…
Characterizing User Susceptibility to COVID-19 Misinformation on Twitter
Xian Teng, Yu-Ru Lin, Wen-Ting Chung +2
Though significant efforts such as removing false claims and promoting reliable sources have been increased to combat COVID-19 "misinfodemic", it remains an unsolved societal chall…