210 citations · 1k across the 63 of their papers we have counts for
12 papers · 1 filter
Who Let The Trolls Out? Towards Understanding State-Sponsored Trolls
Savvas Zannettou, Tristan Caulfield, William Setzer +3
Recent evidence has emerged linking coordinated campaigns by state-sponsored actors to manipulate public opinion on the Web. Campaigns revolving around major political events are e…
A Quantitative Approach to Understanding Online Antisemitism
Savvas Zannettou, Joel Finkelstein, Barry Bradlyn +1
A new wave of growing antisemitism, driven by fringe Web communities, is an increasingly worrying presence in the socio-political realm. The ubiquitous and global nature of the Web…
On the Origins of Memes by Means of Fringe Web Communities
Savvas Zannettou, Tristan Caulfield, Jeremy Blackburn +4
Internet memes are increasingly used to sway and manipulate public opinion. This prompts the need to study their propagation, evolution, and influence across the Web. In this paper…
"You Know What to Do": Proactive Detection of YouTube Videos Targeted by Coordinated Hate Attacks
Enrico Mariconti, Guillermo Suarez-Tangil, Jeremy Blackburn +5
Video sharing platforms like YouTube are increasingly targeted by aggression and hate attacks. Prior work has shown how these attacks often take place as a result of "raids," i.e.,…
The Web of False Information: Rumors, Fake News, Hoaxes, Clickbait, and Various Other Shenanigans
Savvas Zannettou, Michael Sirivianos, Jeremy Blackburn +1
A new era of Information Warfare has arrived. Various actors, including state-sponsored ones, are weaponizing information on Online Social Networks to run false information campaig…
What is Gab? A Bastion of Free Speech or an Alt-Right Echo Chamber?
Savvas Zannettou, Barry Bradlyn, Emiliano De Cristofaro +4
Over the past few years, a number of new "fringe" communities, like 4chan or certain subreddits, have gained traction on the Web at a rapid pace. However, more often than not, litt…
A Family of Droids -- Android Malware Detection via Behavioral Modeling: Static vs Dynamic Analysis
Lucky Onwuzurike, Mario Almeida, Enrico Mariconti +3
Following the increasing popularity of mobile ecosystems, cybercriminals have increasingly targeted them, designing and distributing malicious apps that steal information or cause…
A Unified Deep Learning Architecture for Abuse Detection
Antigoni-Maria Founta, Despoina Chatzakou, Nicolas Kourtellis +3
Hate speech, offensive language, sexism, racism and other types of abusive behavior have become a common phenomenon in many online social media platforms. In recent years, such div…
Large Scale Crowdsourcing and Characterization of Twitter Abusive Behavior
Antigoni-Maria Founta, Constantinos Djouvas, Despoina Chatzakou +6
In recent years, offensive, abusive and hateful language, sexism, racism and other types of aggressive and cyberbullying behavior have been manifesting with increased frequency, an…
Understanding Web Archiving Services and Their (Mis)Use on Social Media
Savvas Zannettou, Jeremy Blackburn, Emiliano De Cristofaro +2
Web archiving services play an increasingly important role in today's information ecosystem, by ensuring the continuing availability of information, or by deliberately caching cont…
"23andMe confirms: I'm super white" -- Analyzing Twitter Discourse On Genetic Testing
Alexandros Mittos, Jeremy Blackburn, Emiliano De Cristofaro
Recent progress in genomics is bringing genetic testing to the masses. Participatory public initiatives are underway to sequence the genome of millions of volunteers, and a new mar…
Disinformation Warfare: Understanding State-Sponsored Trolls on Twitter and Their Influence on the Web
Savvas Zannettou, Tristan Caulfield, Emiliano De Cristofaro +3
Over the past couple of years, anecdotal evidence has emerged linking coordinated campaigns by state-sponsored actors with efforts to manipulate public opinion on the Web, often ar…