9 citations · 11 across the 7 of their papers we have counts for
9 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…
Challenging Partisan Expectations Reduces Political Polarization
Do Won Kim, Ozgur Can Seckin, Saumya Bhadani +3
Political conversations are often proposed as a remedy for political polarization, yet their effectiveness remains inconsistent. We argue that this inconsistency partly reflects a…
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…
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…
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…
Labeled Datasets for Research on Information Operations
Ozgur Can Seckin, Manita Pote, Alexander Nwala +4
Social media platforms have become a hub for political activities and discussions, democratizing participation in these endeavors. However, they have also become an incubator for m…
Implicit degree bias in the link prediction task
Rachith Aiyappa, Xin Wang, Munjung Kim +4
Link prediction -- a task of distinguishing actual hidden edges from random unconnected node pairs -- is one of the quintessential tasks in graph machine learning. Despite being wi…
A Multi-Platform Collection of Social Media Posts about the 2022 U.S. Midterm Elections
Rachith Aiyappa, Matthew R. DeVerna, Manita Pote +13
Social media are utilized by millions of citizens to discuss important political issues. Politicians use these platforms to connect with the public and broadcast policy positions.…
Academic Support Network Reflects Doctoral Experience and Productivity
Ozgur Can Seckin, Onur Varol
Current practices of quantifying performance by productivity leads serious concerns for psychological well-being of doctoral students and influence of research environment is often…