75 citations · 140 across the 19 of their papers we have counts for
20 papers
Group-Differentiated Discourse on Generative AI in High School Education: A Case Study of Reddit Communities
Parth Gaba, Emiliano De Cristofaro
In this paper, we study how different Reddit communities discuss generative AI in high school education, focusing on learning, academic integrity, AI detection, and emotional frami…
PROTEAN: Federated Intrusion Detection in Non-IID Environments through Prototype-Based Knowledge Sharing
Sara Chennoufi, Yufei Han, Gregory Blanc +2
In distributed networks, participants often face diverse and fast-evolving cyberattacks. This makes techniques based on Federated Learning (FL) a promising mitigation strategy. By…
The Ethics of Generative AI in Anonymous Spaces: A Case Study of 4chan's /pol/ Board
Parth Gaba, Emiliano De Cristofaro
This paper presents a characterization of AI-generated images shared on 4chan, examining how this anonymous online community is (mis-)using generative image technologies. Through a…
VIKI: Systematic Cross-Platform Profile Inference of Online Users
Ben Treves, Emiliano De Cristofaro, Yue Dong +1
What can we learn about online users by comparing their profiles across different platforms? We use the term profile to represent displayed personality traits, interests, and behav…
Revealing The Secret Power: How Algorithms Can Influence Content Visibility on Twitter/X
Alessandro Galeazzi, Pujan Paudel, Mauro Conti +2
In recent years, the opaque design and the limited public understanding of social networks' recommendation algorithms have raised concerns about potential manipulation of informati…
A Systematic Review of Federated Generative Models
Ashkan Vedadi Gargary, Emiliano De Cristofaro
Federated Learning (FL) has emerged as a solution for distributed systems that allow clients to train models on their data and only share models instead of local data. Generative M…
From HODL to MOON: Understanding Community Evolution, Emotional Dynamics, and Price Interplay in the Cryptocurrency Ecosystem
Kostantinos Papadamou, Jay Patel, Jeremy Blackburn +2
This paper presents a large-scale analysis of the cryptocurrency community on Reddit, shedding light on the intricate relationship between the evolution of their activity, emotiona…
TUBERAIDER: Attributing Coordinated Hate Attacks on YouTube Videos to their Source Communities
Mohammad Hammas Saeed, Kostantinos Papadamou, Jeremy Blackburn +2
Alas, coordinated hate attacks, or raids, are becoming increasingly common online. In a nutshell, these are perpetrated by a group of aggressors who organize and coordinate operati…
Why So Toxic? Measuring and Triggering Toxic Behavior in Open-Domain Chatbots
Wai Man Si, Michael Backes, Jeremy Blackburn +4
Chatbots are used in many applications, e.g., automated agents, smart home assistants, interactive characters in online games, etc. Therefore, it is crucial to ensure they do not b…
Cerberus: Exploring Federated Prediction of Security Events
Mohammad Naseri, Yufei Han, Enrico Mariconti +3
Modern defenses against cyberattacks increasingly rely on proactive approaches, e.g., to predict the adversary's next actions based on past events. Building accurate prediction mod…
Toxicity in the Decentralized Web and the Potential for Model Sharing
Haris Bin Zia, Aravindh. Raman, Ignacio Castro +4
The "Decentralised Web" (DW) is an evolving concept, which encompasses technologies aimed at providing greater transparency and openness on the web. The DW relies on independent se…
Feels Bad Man: Dissecting Automated Hateful Meme Detection Through the Lens of Facebook's Challenge
Catherine Jennifer, Fatemeh Tahmasbi, Jeremy Blackburn +3
Internet memes have become a dominant method of communication; at the same time, however, they are also increasingly being used to advocate extremism and foster derogatory beliefs.…
Slapping Cats, Bopping Heads, and Oreo Shakes: Understanding Indicators of Virality in TikTok Short Videos
Chen Ling, Jeremy Blackburn, Emiliano De Cristofaro +1
Short videos have become one of the leading media used by younger generations to express themselves online and thus a driving force in shaping online culture. In this context, TikT…
Soros, Child Sacrifices, and 5G: Understanding the Spread of Conspiracy Theories on Web Communities
Pujan Paudel, Jeremy Blackburn, Emiliano De Cristofaro +2
This paper presents a multi-platform computational pipeline geared to identify social media posts discussing (known) conspiracy theories. We use 189 conspiracy claims collected by…
Exploring Content Moderation in the Decentralised Web: The Pleroma Case
Anaobi Ishaku Hassan, Aravindh Raman, Ignacio Castro +4
Decentralising the Web is a desirable but challenging goal. One particular challenge is achieving decentralised content moderation in the face of various adversaries (e.g. trolls).…
"I'm a Professor, which isn't usually a dangerous job": Internet-Facilitated Harassment and its Impact on Researchers
Periwinkle Doerfler, Andrea Forte, Emiliano De Cristofaro +3
While the Internet has dramatically increased the exposure that research can receive, it has also facilitated harassment against scholars. To understand the impact that these attac…
The Gospel According to Q: Understanding the QAnon Conspiracy from the Perspective of Canonical Information
Antonis Papasavva, Max Aliapoulios, Cameron Ballard +4
The QAnon conspiracy theory claims that a cabal of (literally) blood-thirsty politicians and media personalities are engaged in a war to destroy society. By interpreting cryptic "d…
"How over is it?" Understanding the Incel Community on YouTube
Kostantinos Papadamou, Savvas Zannettou, Jeremy Blackburn +3
YouTube is by far the largest host of user-generated video content worldwide. Alas, the platform has also come under fire for hosting inappropriate, toxic, and hateful content. One…
Detecting Cyberbullying and Cyberaggression in Social Media
Despoina Chatzakou, Ilias Leontiadis, Jeremy Blackburn +4
Cyberbullying and cyberaggression are increasingly worrisome phenomena affecting people across all demographics. More than half of young social media users worldwide have been expo…
MaMaDroid: Detecting Android Malware by Building Markov Chains of Behavioral Models (Extended Version)
Lucky Onwuzurike, Enrico Mariconti, Panagiotis Andriotis +3
As Android has become increasingly popular, so has malware targeting it, thus pushing the research community to propose different detection techniques. However, the constant evolut…