14 citations · 49 across the 21 of their papers we have counts for
23 papers
Agent Mosaic: Recognizing Confidentiality Leaks in Agentic LLM Systems
Daniel Ruiz, Luca Luceri, Emilio Ferrara
Modern LLM agents can retrieve information from accessible documents, and then disclose a sensitive conclusion assembled from them. This mosaic effect creates a critical risk for a…
Manufactured Divisiveness: Decomposing the Hostile Content of Seven Social Media Influence Operations
Emilio Ferrara
State-backed influence operations are routinely measured as high-prevalence sources of ``hate'' and ``toxicity.'' We argue those rates rest on a measurement error: the detectors be…
Cultural Targets, Structural Frames, Binding Morals: A Cross-Lingual Audit of Online Hate in Multicultural Singapore
Emilio Ferrara
Multicultural Singapore hosts overlapping language publics (English, Chinese, and Malay) that discuss the same out-groups in parallel, a natural setting to ask whether online hate…
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…
ECHO: Encoding Communities via High-order Operators
Emilio Ferrara
Community detection in attributed networks faces a fundamental divide: topological algorithms ignore semantic features, while Graph Neural Networks (GNNs) encounter devastating com…
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…
Gendered Pathways in AI Companionship: Cross-Community Behavior and Toxicity Patterns on Reddit
Erica Coppolillo, Emilio Ferrara
AI-companionship platforms are rapidly reshaping how people form emotional, romantic, and parasocial bonds with non-human agents, raising new questions about how these relationship…
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…
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…
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…
Limited Effectiveness of LLM-based Data Augmentation for COVID-19 Misinformation Stance Detection
Eun Cheol Choi, Ashwin Balasubramanian, Jinhu Qi +1
Misinformation surrounding emerging outbreaks poses a serious societal threat, making robust countermeasures essential. One promising approach is stance detection (SD), which ident…
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…
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…
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…
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…
Exposing Cross-Platform Coordinated Inauthentic Activity in the Run-Up to the 2024 U.S. Election
Federico Cinus, Marco Minici, Luca Luceri +1
Coordinated information operations remain a persistent challenge on social media, despite platform efforts to curb them. While previous research has primarily focused on identifyin…