collaborators

6 papers

cs.SI2026

Asking Grok: AI-Assisted Sensemaking in Social Media Conversations

Michelle Bobek, Emma Demirel, Nicolas Pröllochs

LLM-powered AI assistants (e.g., Grok) are increasingly integrated into social media platforms, where they help explain content, provide context, and verify claims directly within…

cs.SI2026

Supply vs. Demand in Community-Based Fact-Checking on Social Media

Moritz Pilarski, Nicolas Pröllochs

Fact-checking ecosystems on social media depend on the interplay between what users want checked and what contributors are willing to supply. Prior research has largely examined th…

cs.SI2026

Consensus Stability of Community Notes on X

Yuwei Chuai, Gabriele Lenzini, Nicolas Pröllochs

Community-based fact-checking systems, such as Community Notes on X (formerly Twitter), aim to mitigate online misinformation by surfacing annotations judged helpful by contributor…

cs.SI2026

Hiding Liker Identity Did Not Increase Engagement With Reputationally Risky Content on X (Formerly Twitter)

Yuwei Chuai, Manoel Horta Ribeiro, Gabriele Lenzini +1

In June 2024, X (formerly Twitter) made likes from public to private, offering a rare, platform-level opportunity to study how the visibility of engagement signals affects users' b…

cs.SI2025

Characterizing AI-Generated Misinformation on Social Media

Chiara Drolsbach, Nicolas Pröllochs, Emma Demirel

AI-generated misinformation (e.g., deepfakes) poses a growing threat to information integrity on social media. However, prior research has largely focused on its potential societal…

cs.SI2025

Community Fact-Checks Do Not Break Follower Loyalty

Michelle Bobek, Nicolas Pröllochs

Major social media platforms increasingly adopt community-based fact-checking to address misinformation on their platforms. While previous research has largely focused on its effec…