activity
20232025
most citedOn the Conversational Persuasiveness of Large Language Models: A Randomized Controlled Trial

108 citations · 146 across the 10 of their papers we have counts for

collaborators

10 papers

cs.SI2025

Does Content Moderation Lead Users Away from Fringe Movements? Evidence from a Recovery Community

Giuseppe Russo, Maciej Styczen, Manoel Horta Ribeiro +1

Online platforms have sanctioned individuals and communities associated with fringe movements linked to hate speech, violence, and terrorism, but can these sanctions contribute to…

cs.CY2025★ 2 cited

Meat-Free Day Reduces Greenhouse Gas Emissions but Poses Challenges for Customer Retention and Adherence to Dietary Guidelines

Giuseppe Russo, Kristina Gligorić, Vincent Moreau +1

Reducing meat consumption is crucial for achieving global environmental and nutritional targets. Meat-Free Day (MFD) is a widely adopted strategy to address this challenge by encou…

cs.CY2024★ 1 cited

Post Guidance for Online Communities

Manoel Horta Ribeiro, Robert West, Ryan Lewis +1

Effective content moderation in online communities is often a delicate balance between maintaining content quality and fostering user participation. In this paper, we introduce pos…

cs.CY2024★ 12 cited

The AI Review Lottery: Widespread AI-Assisted Peer Reviews Boost Paper Scores and Acceptance Rates

Giuseppe Russo Latona, Manoel Horta Ribeiro, Tim R. Davidson +2

Journals and conferences worry that peer reviews assisted by artificial intelligence (AI), in particular, large language models (LLMs), may negatively influence the validity and fa…

cs.CL2024★ 2 cited

Can Language Models Recognize Convincing Arguments?

Paula Rescala, Manoel Horta Ribeiro, Tiancheng Hu +1

The capabilities of large language models (LLMs) have raised concerns about their potential to create and propagate convincing narratives. Here, we study their performance in detec…

cs.CY2024★ 108 cited

On the Conversational Persuasiveness of Large Language Models: A Randomized Controlled Trial

Francesco Salvi, Manoel Horta Ribeiro, Riccardo Gallotti +1

The development and popularization of large language models (LLMs) have raised concerns that they will be used to create tailor-made, convincing arguments to push false or misleadi…

cs.SI2024★ 4 cited

Deplatforming Norm-Violating Influencers on Social Media Reduces Overall Online Attention Toward Them

Manoel Horta Ribeiro, Shagun Jhaver, Jordi Cluet i Martinell +2

From politicians to podcast hosts, online platforms have systematically banned (``deplatformed'') influential users for breaking platform guidelines. Previous inquiries on the effe…

cs.CL2023★ 16 cited

Prevalence and prevention of large language model use in crowd work

Veniamin Veselovsky, Manoel Horta Ribeiro, Philip Cozzolino +3

We show that the use of large language models (LLMs) is prevalent among crowd workers, and that targeted mitigation strategies can significantly reduce, but not eliminate, LLM use.…

cs.CY2023★ 1 cited

Protection from Evil and Good: The Differential Effects of Page Protection on Wikipedia Article Quality

Thorsten Ruprechter, Manoel Horta Ribeiro, Robert West +1

Wikipedia, the Web's largest encyclopedia, frequently faces content disputes or malicious users seeking to subvert its integrity. Administrators can mitigate such disruptions by en…

cs.SI2023

Stranger Danger! Cross-Community Interactions with Fringe Users Increase the Growth of Fringe Communities on Reddit

Giuseppe Russo, Manoel Horta Ribeiro, Robert West

Fringe communities promoting conspiracy theories and extremist ideologies have thrived on mainstream platforms, raising questions about the mechanisms driving their growth. Here, w…