Search Results for author:
Found 20 papers, 4 papers with code
Why So Toxic? Measuring and Triggering Toxic Behavior in Open-Domain Chatbots
We show that publicly available chatbots are prone to providing toxic responses when fed toxic queries.
Feels Bad Man: Dissecting Automated Hateful Meme Detection Through the Lens of Facebook's Challenge
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
We do so vis-\`a-vis three research hypotheses; namely, that: 1) the video content, 2) TikTok's recommendation algorithm, and 3) the popularity of the video creator contribute to virality.
The Gospel According to Q: Understanding the QAnon Conspiracy from the Perspective of Canonical Information
By interpreting cryptic "drops" of information from an anonymous insider calling themself Q, adherents of the conspiracy theory believe that Donald Trump is leading them in an active fight against this cabal.
Computers and Society Social and Information Networks
An Early Look at the Parler Online Social Network
Parler is as an "alternative" social network promoting itself as a service that allows to "speak freely and express yourself openly, without fear of being deplatformed for your views."
Social and Information Networks Computers and Society Physics and Society
"Go eat a bat, Chang!": On the Emergence of Sinophobic Behavior on Web Communities in the Face of COVID-19
Finally, we find interesting differences in the context in which words related to Chinese people are used on the Web before and after the COVID-19 outbreak: on Twitter we observe a shift towards blaming China for the situation, while on /pol/ we find a shift towards using more (and new) Sinophobic slurs.
Word Embeddings
Social and Information Networks
Computers and Society
The Pushshift Reddit Dataset
Pushshift is a social media data collection, analysis, and archiving platform that since 2015 has collected Reddit data and made it available to researchers.
Social and Information Networks Computers and Society
"How over is it?" Understanding the Incel Community on YouTube
YouTube is by far the largest host of user-generated video content worldwide.
Computers and Society
The Evolution of the Manosphere Across the Web
In this paper, we present a large-scale characterization of the Manosphere, a conglomerate of Web-based misogynist movements roughly focused on "men's issues," which has seen significant growth over the past years.
Computers and Society
Detecting Cyberbullying and Cyberaggression in Social Media
We also explore specific manifestations of abusive behavior, i. e., cyberbullying and cyberaggression, in one of the hate-related communities (Gamergate).
A Quantitative Approach to Understanding Online Antisemitism
Our open and scientifically grounded methods serve as a framework to augment current qualitative efforts by anti-hate groups, providing new insights into the growth and spread of antisemitism online.
Computers and Society Social and Information Networks
On the Origins of Memes by Means of Fringe Web Communities
In this paper, we detect and measure the propagation of memes across multiple Web communities, using a processing pipeline based on perceptual hashing and clustering techniques, and a dataset of 160M images from 2. 6B posts gathered from Twitter, Reddit, 4chan's Politically Incorrect board (/pol/), and Gab, over the course of 13 months.
Social and Information Networks Computers and Society
The Web of False Information: Rumors, Fake News, Hoaxes, Clickbait, and Various Other Shenanigans
In this work, we pay particular attention to political false information as: 1) it can have dire consequences to the community (e. g., when election results are mutated) and 2) previous work show that this type of false information propagates faster and further when compared to other types of false information.
Social and Information Networks Computers and Society
A Family of Droids -- Android Malware Detection via Behavioral Modeling: Static vs Dynamic Analysis
Aiming to counter them, detection techniques based on either static or dynamic analysis that model Android malware, have been proposed.
Cryptography and Security
Large Scale Crowdsourcing and Characterization of Twitter Abusive Behavior
In recent years, offensive, abusive and hateful language, sexism, racism and other types of aggressive and cyberbullying behavior have been manifesting with increased frequency, and in many online social media platforms.
Social and Information Networks 68T06 K.4.2
A Unified Deep Learning Architecture for Abuse Detection
Hate speech, offensive language, sexism, racism and other types of abusive behavior have become a common phenomenon in many online social media platforms.
Understanding Web Archiving Services and Their (Mis)Use on Social Media
Web archiving services play an increasingly important role in today's information ecosystem, by ensuring the continuing availability of information, or by deliberately caching content that might get deleted or removed.
Computers and Society Digital Libraries Social and Information Networks
Class-based Prediction Errors to Detect Hate Speech with Out-of-vocabulary Words
Common approaches to text categorization essentially rely either on n-gram counts or on word embeddings.
Measuring #GamerGate: A Tale of Hate, Sexism, and Bullying
Over the past few years, online aggression and abusive behaviors have occurred in many different forms and on a variety of platforms.
Mean Birds: Detecting Aggression and Bullying on Twitter
In recent years, bullying and aggression against users on social media have grown significantly, causing serious consequences to victims of all demographics.
Computers and Society Social and Information Networks
