210 citations · 1k across the 63 of their papers we have counts for
5 papers · 1 filter
LAMBRETTA: Learning to Rank for Twitter Soft Moderation
Pujan Paudel, Jeremy Blackburn, Emiliano De Cristofaro +2
To curb the problem of false information, social media platforms like Twitter started adding warning labels to content discussing debunked narratives, with the goal of providing mo…
Non-Polar Opposites: Analyzing the Relationship Between Echo Chambers and Hostile Intergroup Interactions on Reddit
Alexandros Efstratiou, Jeremy Blackburn, Tristan Caulfield +3
Previous research has documented the existence of both online echo chambers and hostile intergroup interactions. In this paper, we explore the relationship between these two phenom…
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…
On Xing Tian and the Perseverance of Anti-China Sentiment Online
Xinyue Shen, Xinlei He, Michael Backes +3
Sinophobia, anti-Chinese sentiment, has existed on the Web for a long time. The outbreak of COVID-19 and the extended quarantine has further amplified it. However, we lack a quanti…
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.…