16 citations · 19 across the 11 of their papers we have counts for
11 papers
Pareto Optimal Re-ranking with Semi-Automated Content Credibility Detection
Yigit Ege Bayiz, Arash Amini, Ufuk Topcu
Social media posts often include misinformative or misleading content, diminishing the expected credibility of content feeds. We present an optimization-based method to improve the…
Characterizing Opinion Evolution of Networked LLMs
Caleb Probine, Yigit Ege Bayiz, Filippos Fotiadis +3
Large language models (LLMs) increasingly interact with one another in multi-agent systems, from simulations of human discourse to influence operations and fully LLM-driven social…
The Effect of Network Topology on the Equilibria of Influence-Opinion Games
Yigit Ege Bayiz, Arash Amini, Radu Marculescu +1
Online social networks exert a powerful influence on public opinion. Adversaries weaponize these networks to manipulate discourse, underscoring the need for more resilient social n…
How Media Competition Fuels the Spread of Misinformation
Arash Amini, Yigit Ege Bayiz, Eun-Ju Lee +3
Competition among news sources may encourage some sources to share fake news and misinformation to influence the public. While sharing misinformation may lead to a short-term gain…
CrediRAG: Network-Augmented Credibility-Based Retrieval for Misinformation Detection in Reddit
Ashwin Ram, Yigit Ege Bayiz, Arash Amini +2
Fake news threatens democracy and exacerbates the polarization and divisions in society; therefore, accurately detecting online misinformation is the foundation of addressing this…
Susceptibility of Communities against Low-Credibility Content in Social News Websites
Yigit Ege Bayiz, Arash Amini, Radu Marculescu +1
Social news websites, such as Reddit, have evolved into prominent platforms for sharing and discussing news. A key issue on social news websites sites is the formation of echo cham…
News Source Credibility Assessment: A Reddit Case Study
Arash Amini, Yigit Ege Bayiz, Ashwin Ram +2
In the era of social media platforms, identifying the credibility of online content is crucial to combat misinformation. We present the CREDiBERT (CREDibility assessment using Bi-d…
Prebunking Design as a Defense Mechanism Against Misinformation Propagation on Social Networks
Yigit Ege Bayiz, Ufuk Topcu
The growing reliance on social media for news consumption necessitates effective countermeasures to mitigate the rapid spread of misinformation. Prebunking, a proactive method that…
Countering Misinformation on Social Networks Using Graph Alterations
Yigit E. Bayiz, Ufuk Topcu
We restrict the propagation of misinformation in a social-media-like environment while preserving the spread of correct information. We model the environment as a random network of…
Relationship Design for Socially-Aware Behavior in Static Games
Shenghui Chen, Yigit E. Bayiz, David Fridovich-Keil +1
Autonomous agents can adopt socially-aware behaviors to reduce social costs, mimicking the way animals interact in nature and humans in society. We present a new approach to model…
Graph Signal Processing: Vertex Multiplication
Aykut Koç, Yigit E. Bayiz
On the Euclidean domains of classical signal processing, linking of signal samples to the underlying coordinate structure is straightforward. While graph adjacency matrices totally…