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20212026
most citedOn the Conversational Persuasiveness of Large Language Models: A Randomized Controlled Trial

108 citations · 301 across the 20 of their papers we have counts for

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9 papers · 1 filter

cs.CY2026

Commercial Persuasion in AI-Mediated Conversations

Francesco Salvi, Alejandro Cuevas, Manoel Horta Ribeiro

As Large Language Models (LLMs) become a primary interface between users and the web, companies face growing economic incentives to embed commercial influence into AI-mediated conv…

cs.CY2024★ 36 cited

Could ChatGPT get an Engineering Degree? Evaluating Higher Education Vulnerability to AI Assistants

Beatriz Borges, Negar Foroutan, Deniz Bayazit +87

AI assistants are being increasingly used by students enrolled in higher education institutions. While these tools provide opportunities for improved teaching and education, they a…

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.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.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.CY2023★ 1 cited

Tube2Vec: Social and Semantic Embeddings of YouTube Channels

Léopaul Boesinger, Manoel Horta Ribeiro, Veniamin Veselovsky +1

Research using YouTube data often explores social and semantic dimensions of channels and videos. Typically, analyses rely on laborious manual annotation of content and content cre…