activity
20212026
most citedOne Year of COVID-19 Vaccine Misinformation on Twitter: Longitudinal Study

70 citations · 157 across the 13 of their papers we have counts for

collaborators

13 papers

cs.CY2026

The Invisible Risks of AI-Generated Health Information

Matthew R. DeVerna, Harry Yaojun Yan, Kai-Cheng Yang +1

Generative artificial intelligence (AI) systems now summarize health-related search results, answer medical questions, and offer guidance people once sought from clinicians. These…

cs.CY2026

A Marketplace for AI-Generated Adult Content and Deepfakes

Shalmoli Ghosh, Matthew R. DeVerna, Filippo Menczer

Generative AI systems increasingly enable the production of highly realistic synthetic media. Civitai, a popular community-driven platform for AI-generated content, operates a mone…

cs.CL2025

Large Language Models Require Curated Context for Reliable Political Fact-Checking -- Even with Reasoning and Web Search

Matthew R. DeVerna, Kai-Cheng Yang, Harry Yaojun Yan +1

Large language models (LLMs) have raised hopes for automated end-to-end fact-checking, but prior studies report mixed results. As mainstream chatbots increasingly ship with reasoni…

cs.SI2025

A longitudinal analysis of misinformation, polarization and toxicity on Bluesky after its public launch

Gianluca Nogara, Erfan Samieyan Sahneh, Matthew R. DeVerna +5

Bluesky is a decentralized, Twitter-like social media platform that has rapidly gained popularity. Following an invite-only phase, it officially opened to the public on February 6t…

cs.SI2024★ 1 cited

How the cascade inference problem distorts information diffusion

Matthew R. DeVerna, Francesco Pierri, Rachith Aiyappa +3

To analyze the flow of information online, experts often rely on platform-provided data from social media companies, which typically attribute all resharing actions to an original…

cs.SI2024★ 1 cited

The Dawn of Decentralized Social Media: An Exploration of Bluesky's Public Opening

Erfan Samieyan Sahneh, Gianluca Nogara, Matthew R. DeVerna +5

Bluesky is a Twitter-like decentralized social media platform that has recently grown in popularity. After an invite-only period, it opened to the public worldwide on February 6th,…

cs.SI2024★ 15 cited

Modeling the amplification of epidemic spread by individuals exposed to misinformation on social media

Matthew R. DeVerna, Francesco Pierri, Yong-Yeol Ahn +3

Understanding how misinformation affects the spread of disease is crucial for public health, especially given recent research indicating that misinformation can increase vaccine he…

cs.HC2023★ 46 cited

Fact-checking information from large language models can decrease headline discernment

Matthew R. DeVerna, Harry Yaojun Yan, Kai-Cheng Yang +1

Fact checking can be an effective strategy against misinformation, but its implementation at scale is impeded by the overwhelming volume of information online. Recent artificial in…

cs.SI2023★ 9 cited

A Multi-Platform Collection of Social Media Posts about the 2022 U.S. Midterm Elections

Rachith Aiyappa, Matthew R. DeVerna, Manita Pote +13

Social media are utilized by millions of citizens to discuss important political issues. Politicians use these platforms to connect with the public and broadcast policy positions.…

cs.SI2022★ 70 cited

One Year of COVID-19 Vaccine Misinformation on Twitter: Longitudinal Study

Francesco Pierri, Matthew R. DeVerna, Kai-Cheng Yang +3

Vaccinations play a critical role in mitigating the impact of COVID-19 and other diseases. This study explores COVID-19 vaccine misinformation circulating on Twitter during 2021, w…

cs.SI2022★ 13 cited

Identifying and characterizing superspreaders of low-credibility content on Twitter

Matthew R. DeVerna, Rachith Aiyappa, Diogo Pacheco +2

The world's digital information ecosystem continues to struggle with the spread of misinformation. Prior work has suggested that users who consistently disseminate a disproportiona…

cs.SI2021★ 2 cited

Online misinformation is linked to early COVID-19 vaccination hesitancy and refusal

Francesco Pierri, Brea Perry, Matthew R. DeVerna +4

Widespread uptake of vaccines is necessary to achieve herd immunity. However, uptake rates have varied across U.S. states during the first six months of the COVID-19 vaccination pr…

cs.SI2021

CoVaxxy: A Collection of English-language Twitter Posts About COVID-19 Vaccines

Matthew R. DeVerna, Francesco Pierri, Bao Tran Truong +7

With a substantial proportion of the population currently hesitant to take the COVID-19 vaccine, it is important that people have access to accurate information. However, there is…