activity
20232026
most citedThe Perils & Promises of Fact-checking with Large Language Models

60 citations · 97 across the 8 of their papers we have counts for

collaborators

8 papers

cs.AI2026

InfoOps Bench: A live information operations safety benchmark

Dorian Quelle, Lisa-Maria Neudert, Jonathan Bright +1

In this paper we present an active, constantly updated AI benchmark which measures the integrity of frontier language models against being co-opted for use by authoritarian state "…

cs.CL2026

Language Mutations Sustain the Persistences of Conspiracy Theories on Social Media

Calvin Yixiang Cheng, Dorian Quelle, Scott A. Hale

This study investigates how language mutations affect the persistent diffusion of conspiracy theories on social media. Drawing on a three-year dataset of conspiracy-related posts f…

cs.SI2025★ 1 cited

Politics and polarization on Bluesky

Ali Salloum, Dorian Quelle, Letizia Iannucci +2

Online political discourse is increasingly shaped not by a few dominant platforms but by a fragmented ecosystem of social media spaces, each with its own user base, target audience…

cs.SI2025★ 1 cited

Simple contagion drives population-scale platform migration

Dorian Quelle, Frederic Denker, Prashant Garg +1

Social media platforms mediate professional communication, political expression, and community formation, making the rare instances when users collectively abandon an incumbent pla…

cs.HC2025

Effective Yet Ephemeral Propaganda Defense: There Needs to Be More than One-Shot Inoculation to Enhance Critical Thinking

Nicolas Hoferer, Kilian Sprenkamp, Dorian Christoph Quelle +4

In today's media landscape, propaganda distribution has a significant impact on society. It sows confusion, undermines democratic processes, and leads to increasingly difficult dec…

cs.SI2024★ 21 cited

Bluesky: Network Topology, Polarization, and Algorithmic Curation

Dorian Quelle, Alexandre Bovet

Bluesky is a nascent Twitter-like and decentralized social media network with novel features and unprecedented data access. This paper provides a characterization of its interactio…

cs.CL2023★ 14 cited

Lost in translation: using global fact-checks to measure multilingual misinformation prevalence, spread, and evolution

Dorian Quelle, Calvin Cheng, Alexandre Bovet +1

Misinformation and disinformation are growing threats in the digital age, affecting people across languages and borders. However, no research has investigated the prevalence of mul…

cs.CL2023★ 60 cited

The Perils & Promises of Fact-checking with Large Language Models

Dorian Quelle, Alexandre Bovet

Automated fact-checking, using machine learning to verify claims, has grown vital as misinformation spreads beyond human fact-checking capacity. Large Language Models (LLMs) like G…