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20242026
most citedAuditing Political Exposure Bias: Algorithmic Amplification on Twitter/X During the 2024 U.S. Presidential Election

14 citations · 49 across the 21 of their papers we have counts for

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16 papers · 1 filter

cs.SI2026

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…

cs.SI2026

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…

cs.SI2026

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…

cs.SI2026

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…

cs.SI2025

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…

cs.SI2025★ 1 cited

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…

cs.SI2025

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…

cs.SI2025★ 6 cited

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…

cs.SI2024★ 1 cited

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…

cs.SI2024★ 1 cited

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…

cs.SI2024★ 3 cited

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…

cs.SI2024★ 14 cited

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…

cs.SI2024

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…

cs.SI2024★ 3 cited

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…

cs.SI2024★ 4 cited

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…

cs.SI2024★ 11 cited

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…