124 citations · 1.2k across the 61 of their papers we have counts for
24 papers · 1 filter
A longitudinal study of the top 1% toxic Twitter profiles
Hina Qayyum, Benjamin Zi Hao Zhao, Ian D. Wood +3
Toxicity is endemic to online social networks including Twitter. It follows a Pareto like distribution where most of the toxicity is generated by a very small number of profiles an…
A deep dive into the consistently toxic 1% of Twitter
Hina Qayyum, Benjamin Zi Hao Zhao, Ian D. Wood +3
Misbehavior in online social networks (OSN) is an ever-growing phenomenon. The research to date tends to focus on the deployment of machine learning to identify and classify types…
YouTubing at Home: Media Sharing Behavior Change as Proxy for MobilityAround COVID-19 Lockdowns
Yelena Mejova, Nicolas Kourtellis
Compliance with public health measures, such as restrictions on movement and socialization, is paramount in limiting the spread of diseases such as the severe acute respiratory syn…
The Rise and Fall of Fake News sites: A Traffic Analysis
Manolis Chalkiadakis, Alexandros Kornilakis, Panagiotis Papadopoulos +2
Over the past decade, we have witnessed the rise of misinformation on the Internet, with online users constantly falling victims of fake news. A multitude of past studies have anal…
A Streaming Machine Learning Framework for Online Aggression Detection on Twitter
Herodotos Herodotou, Despoina Chatzakou, Nicolas Kourtellis
The rise of online aggression on social media is evolving into a major point of concern. Several machine and deep learning approaches have been proposed recently for detecting vari…
On the Aggression Diffusion Modeling and Minimization in Online Social Networks
Marinos Poiitis, Athena Vakali, Nicolas Kourtellis
Aggression in online social networks has been studied mostly from the perspective of machine learning which detects such behavior in a static context. However, the way aggression d…
Modeling Aggression Propagation on Social Media
Chrysoula Terizi, Despoina Chatzakou, Evaggelia Pitoura +2
Cyberaggression has been studied in various contexts and online social platforms, and modeled on different data using state-of-the-art machine and deep learning algorithms to enabl…
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…
Disturbed YouTube for Kids: Characterizing and Detecting Inappropriate Videos Targeting Young Children
Kostantinos Papadamou, Antonis Papasavva, Savvas Zannettou +5
A large number of the most-subscribed YouTube channels target children of a very young age. Hundreds of toddler-oriented channels on YouTube feature inoffensive, well-produced, and…
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…
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…
To Be Connected, or Not to Be Connected: That is the Minimum Inefficiency Subgraph Problem
Natali Ruchansky, Francesco Bonchi, David Garcia-Soriano +2
We study the problem of extracting a selective connector for a given set of query vertices in a graph . A selective connector is a subgraph of which…
Hate is not Binary: Studying Abusive Behavior of #GamerGate on Twitter
Despoina Chatzakou, Nicolas Kourtellis, Jeremy Blackburn +3
Over the past few years, online bullying and aggression have become increasingly prominent, and manifested in many different forms on social media. However, there is little work an…
The Web Centipede: Understanding How Web Communities Influence Each Other Through the Lens of Mainstream and Alternative News Sources
Savvas Zannettou, Tristan Caulfield, Emiliano De Cristofaro +5
As the number and the diversity of news outlets on the Web grow, so does the opportunity for "alternative" sources of information to emerge. Using large social networks like Twitte…
Measuring #GamerGate: A Tale of Hate, Sexism, and Bullying
Despoina Chatzakou, Nicolas Kourtellis, Jeremy Blackburn +3
Over the past few years, online aggression and abusive behaviors have occurred in many different forms and on a variety of platforms. In extreme cases, these incidents have evolved…
Kek, Cucks, and God Emperor Trump: A Measurement Study of 4chan's Politically Incorrect Forum and Its Effects on the Web
Gabriel Emile Hine, Jeremiah Onaolapo, Emiliano De Cristofaro +5
The discussion-board site 4chan has been part of the Internet's dark underbelly since its inception, and recent political events have put it increasingly in the spotlight. In parti…
Privacy Concerns vs. User Behavior in Community Question Answering
Imrul Kayes, Nicolas Kourtellis, Francesco Bonchi +1
Community-based question answering (CQA) platforms are crowd-sourced services for sharing user expertise on various topics, from mechanical repairs to parenting. While they natural…
Cultures in Community Question Answering
Imrul Kayes, Nicolas Kourtellis, Daniele Quercia +2
CQA services are collaborative platforms where users ask and answer questions. We investigate the influence of national culture on people's online questioning and answering behavio…
The Social World of Content Abusers in Community Question Answering
Imrul Kayes, Nicolas Kourtellis, Daniele Quercia +2
Community-based question answering platforms can be rich sources of information on a variety of specialized topics, from finance to cooking. The usefulness of such platforms depend…
The Minimum Wiener Connector
Natali Ruchansky, Francesco Bonchi, David Garcia-Soriano +2
The Wiener index of a graph is the sum of all pairwise shortest-path distances between its vertices. In this paper we study the novel problem of finding a minimum Wiener connector:…
The power of indirect social ties
Xiang Zuo, Jeremy Blackburn, Nicolas Kourtellis +2
While direct social ties have been intensely studied in the context of computer-mediated social networks, indirect ties (e.g., friends of friends) have seen little attention. Yet i…
Enabling Social Applications via Decentralized Social Data Management
Nicolas Kourtellis, Jeremy Blackburn, Cristian Borcea +1
An unprecedented information wealth produced by online social networks, further augmented by location/collocation data, is currently fragmented across different proprietary service…
Leveraging Peer Centrality in the Design of Socially-Informed Peer-to-Peer Systems
Nicolas Kourtellis, Adriana Iamnitchi
Social applications mine user social graphs to improve performance in search, provide recommendations, allow resource sharing and increase data privacy. When such applications are…
Cheaters in the Steam Community Gaming Social Network
Jeremy Blackburn, Ramanuja Simha, Nicolas Kourtellis +5
Online gaming is a multi-billion dollar industry that entertains a large, global population. One unfortunate phenomenon, however, poisons the competition and the fun: cheating. The…