460 citations · 2.4k across the 35 of their papers we have counts for
37 papers
PRISM: Phase-enhanced Radial-based Image Signature Mapping framework for fingerprinting AI-generated images
Emanuele Ricco, Elia Onofri, Lorenzo Cima +2
A critical need has emerged for generative AI: attribution methods. That is, solutions that can identify the model originating AI-generated content. This feature, generally relevan…
Emoji Reactions on Telegram: Unreliable Indicators of Emotional Resonance
Serena Tardelli, Lorenzo Alvisi, Lorenzo Cima +2
Emoji reactions are a frequently used feature of messaging platforms, yet their communicative role remains understudied. Prior work on emojis has focused predominantly on in-text u…
Multimodal Coordinated Online Behavior: Trade-offs and Strategies
Lorenzo Mannocci, Stefano Cresci, Matteo Magnani +2
Coordinated online behavior, which spans from beneficial collective actions to harmful manipulation such as disinformation campaigns, has become a key focus in digital ecosystem an…
A Year of the DSA Transparency Database: What it (Does Not) Reveal About Platform Moderation During the 2024 European Parliament Election
Gautam Kishore Shahi, Benedetta Tessa, Amaury Trujillo +1
Social media platforms face heightened risks during major political events; yet, how platforms adapt their moderation practices in response remains unclear. The Digital Services Ac…
Coordinated Inauthentic Behavior and Information Spreading on Twitter
Matteo Cinelli, Stefano Cresci, Walter Quattrociocchi +2
We explore the effects of coordinated users (i.e., users characterized by an unexpected, suspicious, or exceptional similarity) in information spreading on Twitter by quantifying t…
Geo-Semantic-Parsing: AI-powered geoparsing by traversing semantic knowledge graphs
Leonardo Nizzoli, Marco Avvenuti, Maurizio Tesconi +1
Online social networks convey rich information about geospatial facets of reality. However in most cases, geographic information is not explicit and structured, thus preventing its…
Contextualized Counterspeech: Strategies for Adaptation, Personalization, and Evaluation
Lorenzo Cima, Alessio Miaschi, Amaury Trujillo +3
AI-generated counterspeech offers a promising and scalable strategy to curb online toxicity through direct replies that promote civil discourse. However, current counterspeech is o…
Investigating the heterogenous effects of a massive content moderation intervention via Difference-in-Differences
Lorenzo Cima, Benedetta Tessa, Stefano Cresci +2
In today's online environments, users encounter harm and abuse on a daily basis. Therefore, content moderation is crucial to ensure their safety and well-being. However, the effect…
Human and LLM Biases in Hate Speech Annotations: A Socio-Demographic Analysis of Annotators and Targets
Tommaso Giorgi, Lorenzo Cima, Tiziano Fagni +2
The rise of online platforms exacerbated the spread of hate speech, demanding scalable and effective detection. However, the accuracy of hate speech detection systems heavily relie…
Detection and Characterization of Coordinated Online Behavior: A Survey
Lorenzo Mannocci, Michele Mazza, Anna Monreale +2
Coordination is a fundamental aspect of life. The advent of social media has made it integral also to online human interactions, such as those that characterize thriving online com…
Beyond Trial-and-Error: Predicting User Abandonment After a Moderation Intervention
Benedetta Tessa, Lorenzo Cima, Amaury Trujillo +2
Current content moderation follows a reactive, trial-and-error approach, where interventions are applied and their effects are only measured post-hoc. In contrast, we introduce a p…
The Great Ban: Efficacy and Unintended Consequences of a Massive Deplatforming Operation on Reddit
Lorenzo Cima, Amaury Trujillo, Marco Avvenuti +1
In the current landscape of online abuses and harms, effective content moderation is necessary to cultivate safe and inclusive online spaces. Yet, the effectiveness of many moderat…
The DSA Transparency Database: Auditing Self-reported Moderation Actions by Social Media
Amaury Trujillo, Tiziano Fagni, Stefano Cresci
Since September 2023, the Digital Services Act (DSA) obliges large online platforms to submit detailed data on each moderation action they take within the European Union (EU) to th…
Demystifying Misconceptions in Social Bots Research
Stefano Cresci, Kai-Cheng Yang, Angelo Spognardi +3
Research on social bots aims at advancing knowledge and providing solutions to one of the most debated forms of online manipulation. Yet, social bot research is plagued by widespre…
Tracking Fringe and Coordinated Activity on Twitter Leading Up To the US Capitol Attack
Vishnuprasad Padinjaredath Suresh, Gianluca Nogara, Felipe Cardoso +3
The aftermath of the 2020 US Presidential Election witnessed an unprecedented attack on the democratic values of the country through the violent insurrection at Capitol Hill on Jan…
Temporal Dynamics of Coordinated Online Behavior: Stability, Archetypes, and Influence
Serena Tardelli, Leonardo Nizzoli, Maurizio Tesconi +4
Large-scale online campaigns, malicious or otherwise, require a significant degree of coordination among participants, which sparked interest in the study of coordinated online beh…
MulBot: Unsupervised Bot Detection Based on Multivariate Time Series
Lorenzo Mannocci, Stefano Cresci, Anna Monreale +2
Online social networks are actively involved in the removal of malicious social bots due to their role in the spread of low quality information. However, most of the existing bot d…
One of Many: Assessing User-level Effects of Moderation Interventions on r/The_Donald
Amaury Trujillo, Stefano Cresci
Evaluating the effects of moderation interventions is a task of paramount importance, as it allows assessing the success of content moderation processes. So far, intervention effec…
Personalized Interventions for Online Moderation
Stefano Cresci, Amaury Trujillo, Tiziano Fagni
Current online moderation follows a one-size-fits-all approach, where each intervention is applied in the same way to all users. This naive approach is challenged by established so…
Metaverse: Security and Privacy Issues
Roberto Di Pietro, Stefano Cresci
The metaverse promises a host of bright opportunities for business, economics, and society. Though, a number of critical aspects are still to be considered and the analysis of thei…
Fine-Grained Prediction of Political Leaning on Social Media with Unsupervised Deep Learning
Tiziano Fagni, Stefano Cresci
Predicting the political leaning of social media users is an increasingly popular task, given its usefulness for electoral forecasts, opinion dynamics models and for studying the p…
Make Reddit Great Again: Assessing Community Effects of Moderation Interventions on r/The_Donald
Amaury Trujillo, Stefano Cresci
The subreddit r/The_Donald was repeatedly denounced as a toxic and misbehaving online community, reasons for which it faced a sequence of increasingly constraining moderation inter…
Adversarial machine learning for protecting against online manipulation
Stefano Cresci, Marinella Petrocchi, Angelo Spognardi +1
Adversarial examples are inputs to a machine learning system that result in an incorrect output from that system. Attacks launched through this type of input can cause severe conse…
The Spread of Propaganda by Coordinated Communities on Social Media
Kristina Hristakieva, Stefano Cresci, Giovanni Da San Martino +2
Large-scale manipulations on social media have two important characteristics: (i) use of propaganda to influence others, and (ii) adoption of coordinated behavior to spread it and…