15 citations · 21 across the 15 of their papers we have counts for
17 papers
AI Agents are Vulnerable to Radicalization
Ozgur Can Seckin, Shalmoli Ghosh, Alessandro Flammini +3
Large language models (LLMs) can influence people's beliefs, yet little is known about whether and how they can manipulate each other. To investigate this, we simulate conversation…
Adversarial Creation and Detection of AI-Generated Social Bot Content
Mykola Trokhymovych, Ricardo Baeza-Yates, Alessandro Flammini +2
The convergence of large language models and social bots allows malicious actors to manipulate the information ecosystem by generating human-like content at scale. Existing models…
PluRule: A Benchmark for Moderating Pluralistic Communities on Social Media
Zoher Kachwala, Bao Tran Truong, Rasika Muralidharan +3
Social media are shifting towards pluralism -- community-governed platforms where groups define their own norms. What violates rules in one community may be perfectly acceptable in…
The Invisible Risks of AI-Generated Health Information
Matthew R. DeVerna, Harry Yaojun Yan, Kai-Cheng Yang +1
Generative artificial intelligence (AI) systems now summarize health-related search results, answer medical questions, and offer guidance people once sought from clinicians. These…
Emergence of Stereotypes and Affective Polarization from Belief Network Dynamics
Ozgur Can Seckin, Rachith Aiyappa, Madalina Vlasceanu +3
Our belief systems are shaped by social processes, such as observations and influence, and by cognitive processes, such as the drive for internal coherence. These processes steer h…
"F*** You Biden": Cross-Partisan Electoral Toxicity on X
Danishjeet Singh, Anindya Mondal, Filippo Menczer
Political discourse on social media has grown increasingly toxic, with electoral periods amplifying partisan hostility and cross-group attacks. Yet it remains unclear whether toxic…
LLMs Can Infer Political Alignment from Online Conversations
Byunghwee Lee, Sangyeon Kim, Filippo Menczer +3
Due to the correlational structure in our traits such as identities, cultures, and political attitudes, seemingly innocuous preferences like following a band or using a specific sl…
A Marketplace for AI-Generated Adult Content and Deepfakes
Shalmoli Ghosh, Matthew R. DeVerna, Filippo Menczer
Generative AI systems increasingly enable the production of highly realistic synthetic media. Civitai, a popular community-driven platform for AI-generated content, operates a mone…
Community Notes are Vulnerable to Rater Bias and Manipulation
Bao Tran Truong, Siqi Wu, Alessandro Flammini +2
Social media platforms increasingly rely on crowdsourced moderation systems like Community Notes to combat misinformation at scale. However, these systems face challenges from rate…
Identifying Constructive Conflict in Online Discussions through Controversial yet Toxicity Resilient Posts
Ozgur Can Seckin, Bao Tran Truong, Alessandro Flammini +1
Bridging content that brings together individuals with opposing viewpoints on social media remains elusive, overshadowed by echo chambers and toxic exchanges. We propose that algor…
A longitudinal analysis of misinformation, polarization and toxicity on Bluesky after its public launch
Gianluca Nogara, Erfan Samieyan Sahneh, Matthew R. DeVerna +5
Bluesky is a decentralized, Twitter-like social media platform that has rapidly gained popularity. Following an invite-only phase, it officially opened to the public on February 6t…
The Rise of Bluesky
Ozgur Can Seckin, Filipi Nascimento Silva, Bao Tran Truong +5
This study investigates the rapid growth and evolving network structure of Bluesky from August 2023 to February 2025. Through multiple waves of user migrations, the platform has re…
Audit of takedown delays across social media reveals failure to reduce exposure to illegal content
Bao Tran Truong, Sangyeon Kim, Gianluca Nogara +7
Illegal content on social media poses significant societal harm and necessitates timely removal. However, the impact of the speed of content removal on prevalence, reach, and expos…
How the cascade inference problem distorts information diffusion
Matthew R. DeVerna, Francesco Pierri, Rachith Aiyappa +3
To analyze the flow of information online, experts often rely on platform-provided data from social media companies, which typically attribute all resharing actions to an original…
Social media algorithms can curb misinformation, but do they?
Chhandak Bagchi, Filippo Menczer, Jennifer Lundquist +3
A recent article in by Guess et al. estimated the effect of Facebook's news feed algorithm on exposure to misinformation and political information among Facebook…
The Dawn of Decentralized Social Media: An Exploration of Bluesky's Public Opening
Erfan Samieyan Sahneh, Gianluca Nogara, Matthew R. DeVerna +5
Bluesky is a Twitter-like decentralized social media platform that has recently grown in popularity. After an invite-only period, it opened to the public worldwide on February 6th,…
Modeling the amplification of epidemic spread by individuals exposed to misinformation on social media
Matthew R. DeVerna, Francesco Pierri, Yong-Yeol Ahn +3
Understanding how misinformation affects the spread of disease is crucial for public health, especially given recent research indicating that misinformation can increase vaccine he…