108 citations · 301 across the 20 of their papers we have counts for
20 papers
Can AI Agents Synthesize Scientific Conclusions?
Hayoung Jung, Pedro Viana Diniz, José Reinaldo Corrêa Roveda +5
Scientific AI agents increasingly retrieve evidence, reason across sources, and synthesize conclusions used in consequential decisions. Yet, their ability to do so in high-stakes d…
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…
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…
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…
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…
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…
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…
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.…
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…
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…
ACTI at EVALITA 2023: Overview of the Conspiracy Theory Identification Task
Giuseppe Russo, Niklas Stoehr, Manoel Horta Ribeiro
Conspiracy Theory Identication task is a new shared task proposed for the first time at the Evalita 2023. The ACTI challenge, based exclusively on comments published on conspirator…
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…
Artificial Artificial Artificial Intelligence: Crowd Workers Widely Use Large Language Models for Text Production Tasks
Veniamin Veselovsky, Manoel Horta Ribeiro, Robert West
Large language models (LLMs) are remarkable data annotators. They can be used to generate high-fidelity supervised training data, as well as survey and experimental data. With the…
Generating Faithful Synthetic Data with Large Language Models: A Case Study in Computational Social Science
Veniamin Veselovsky, Manoel Horta Ribeiro, Akhil Arora +3
Large Language Models (LLMs) have democratized synthetic data generation, which in turn has the potential to simplify and broaden a wide gamut of NLP tasks. Here, we tackle a perva…
The Amplification Paradox in Recommender Systems
Manoel Horta Ribeiro, Veniamin Veselovsky, Robert West
Automated audits of recommender systems found that blindly following recommendations leads users to increasingly partisan, conspiratorial, or false content. At the same time, studi…
Understanding Online Migration Decisions Following the Banning of Radical Communities
Giuseppe Russo, Manoel Horta Ribeiro, Giona Casiraghi +1
The proliferation of radical online communities and their violent offshoots has sparked great societal concern. However, the current practice of banning such communities from mains…
Quotatives Indicate Decline in Objectivity in U.S. Political News
Tiancheng Hu, Manoel Horta Ribeiro, Robert West +1
According to journalistic standards, direct quotes should be attributed to sources with objective quotatives such as "said" and "told", as nonobjective quotatives, like "argued" an…
Spillover of Antisocial Behavior from Fringe Platforms: The Unintended Consequences of Community Banning
Giuseppe Russo, Luca Verginer, Manoel Horta Ribeiro +1
Online platforms face pressure to keep their communities civil and respectful. Thus, the bannings of problematic online communities from mainstream platforms like Reddit and Facebo…
Post Approvals in Online Communities
Manoel Horta Ribeiro, Justin Cheng, Robert West
In many online communities, community leaders (i.e., moderators and administrators) can proactively filter undesired content by requiring posts to be approved before publication. B…
Can online attention signals help fact-checkers fact-check?
Manoel Horta Ribeiro, Savvas Zannettou, Oana Goga +2
Recent research suggests that not all fact-checking efforts are equal: when and what is fact-checked plays a pivotal role in effectively correcting misconceptions. In that context,…