81 citations · 282 across the 51 of their papers we have counts for
57 papers
A null model to detect coordinated online behavior integrating evidence from multiple indicators
Filipi Nascimento Silva, Manita Pote, Lake Yin +5
Coordinated online accounts can amplify messages and manipulate attention, but detecting such behavior is challenging due to confounding factors like account activity and item popu…
"If It Looks Like a User": Measuring Real-Time Moderation Effects via Social Media Simulation
Enrico Verdolotti, Gianluca Nogara, Luca Luceri +1
Agent-based social media simulators offer a controlled environment to study content moderation, yet their value hinges on how faithfully they reproduce real platform dynamics. We d…
Predicting, Evaluating, and Explaining Top Misinformation Spreaders via Archetypal User Behavior
Enrico Verdolotti, Luca Luceri, Silvia Giordano
The spread of misinformation on social networks poses a significant challenge to online communities and society at large. Not all users contribute equally to this phenomenon: a sma…
Israel-Hamas War on X: A Case Study of Coordinated Campaigns and Information Integrity
Tuğrulcan Elmas, Filipi Nascimento Silva, Manita Pote +8
Coordinated campaigns on social media play a critical role in shaping crisis information environments, particularly during the onset of conflicts when uncertainty is high and verif…
What do people want to fact-check?
Bijean Ghafouri, Dorsaf Sallami, Luca Luceri +4
Research on misinformation has focused almost exclusively on supply, asking what falsehoods circulate, who produces them, and whether corrections work. A basic demand-side question…
Harm in AI-Driven Societies: An Audit of Toxicity Adoption on Chirper.ai
Erica Coppolillo, Luca Luceri, Emilio Ferrara
Large Language Models (LLMs) are increasingly embedded in autonomous agents that engage, converse, and co-evolve in online social platforms. While prior work has documented the gen…
Emergent Coordinated Behaviors in Networked LLM Agents: Modeling the Strategic Dynamics of Information Operations
Gian Marco Orlando, Jinyi Ye, Valerio La Gatta +4
Generative agents are rapidly advancing in sophistication, raising urgent questions about how they might coordinate when deployed in online ecosystems. This is particularly consequ…
Cross-Platform Narrative Prediction: Leveraging Platform-Invariant Discourse Networks
Patrick Gerard, Luca Luceri, Leonardo Blas +1
Online narratives spread unevenly across platforms, with content emerging on one site often appearing on others, hours, days or weeks later. Existing cross-platform information dif…
Bridging the Narrative Divide: Cross-Platform Discourse Networks in Fragmented Ecosystems
Patrick Gerard, Hans W. A. Hanley, Luca Luceri +1
Political discourse has grown increasingly fragmented across different social platforms, making it challenging to trace how narratives spread and evolve within such a fragmented in…
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…
Coordinated Inauthentic Behavior on TikTok: Challenges and Opportunities for Detection in a Video-First Ecosystem
Luca Luceri, Tanishq Vijay Salkar, Ashwin Balasubramanian +3
Detecting coordinated inauthentic behavior (CIB) is central to the study of online influence operations. However, most methods focus on text-centric platforms, leaving video-first…
Beyond Interaction Patterns: Assessing Claims of Coordinated Inter-State Information Operations on Twitter/X
Valeria Pantè, David Axelrod, Alessandro Flammini +3
Social media platforms have become key tools for coordinated influence operations, enabling state actors to manipulate public opinion through strategic, collective actions. While p…
Network-informed Prompt Engineering against Organized Astroturf Campaigns under Extreme Class Imbalance
Nikos Kanakaris, Heng Ping, Xiongye Xiao +4
Detecting organized political campaigns is of paramount importance in fighting against disinformation on social media. Existing approaches for the identification of such organized…
Synthetic Politics: Prevalence, Spreaders, and Emotional Reception of AI-Generated Political Images on X
Zhiyi Chen, Jinyi Ye, Beverlyn Tsai +2
Despite widespread concerns about the risks of AI-generated content (AIGC) to the integrity of social media discourse, little is known about its scale and scope, the actors respons…
Audit of takedown delays across social media reveals failure to reduce exposure to illegal content
Bao Tran Truong, Sangyeon Kim, Gianluca Nogara +7
Illegal content on social media poses significant societal harm and necessitates timely removal. However, the impact of the speed of content removal on prevalence, reach, and expos…
Safe Spaces or Toxic Places? Content Moderation and Social Dynamics of Online Eating Disorder Communities
Kristina Lerman, Minh Duc Chu, Charles Bickham +2
Social media platforms have become critical spaces for discussing mental health concerns, including eating disorders. While these platforms can provide valuable support networks, t…
Tracking the 2024 US Presidential Election Chatter on TikTok: A Public Multimodal Dataset
Gabriela Pinto, Charles Bickham, Tanishq Salkar +3
This paper presents the TikTok 2024 U.S. Presidential Election Dataset, a large-scale, resource designed to advance research into political communication and social media dynamics.…
IOHunter: Graph Foundation Model to Uncover Online Information Operations
Marco Minici, Luca Luceri, Francesco Fabbri +1
Social media platforms have become vital spaces for public discourse, serving as modern agoràs where a wide range of voices influence societal narratives. However, their open natur…
Labeled Datasets for Research on Information Operations
Ozgur Can Seckin, Manita Pote, Alexander Nwala +4
Social media platforms have become a hub for political activities and discussions, democratizing participation in these endeavors. However, they have also become an incubator for m…
Unfiltered Conversations: A Dataset of 2024 U.S. Presidential Election Discourse on Truth Social
Kashish Shah, Patrick Gerard, Luca Luceri +1
Truth Social, launched as a social media platform with a focus on free speech, has become a prominent space for political discourse, attracting a user base with diverse, yet often…
Auditing Political Exposure Bias: Algorithmic Amplification on Twitter/X During the 2024 U.S. Presidential Election
Jinyi Ye, Luca Luceri, Emilio Ferrara
Approximately 50% of tweets in X's user timelines are personalized recommendations from accounts they do not follow. This raises a critical question: What political content are use…
A Public Dataset Tracking Social Media Discourse about the 2024 U.S. Presidential Election on Twitter/X
Ashwin Balasubramanian, Vito Zou, Hitesh Narayana +3
In this paper, we introduce the first release of a large-scale dataset capturing discourse on (a.k.a., Twitter) related to the upcoming 2024 U.S. Presidential Election…
Unearthing a Billion Telegram Posts about the 2024 U.S. Presidential Election: Development of a Public Dataset
Leonardo Blas, Luca Luceri, Emilio Ferrara
With its lenient moderation policies and long-standing associations with potentially unlawful activities, Telegram has become an incubator for problematic content, frequently featu…
Uncovering Coordinated Cross-Platform Information Operations Threatening the Integrity of the 2024 U.S. Presidential Election Online Discussion
Marco Minici, Luca Luceri, Federico Cinus +1
Information Operations (IOs) pose a significant threat to the integrity of democratic processes, with the potential to influence election-related online discourse. In anticipation…