177 citations · 470 across the 39 of their papers we have counts for
8 papers · 1 filter
Fairness via AI: Bias Reduction in Medical Information
Shiri Dori-Hacohen, Roberto Montenegro, Fabricio Murai +4
Most Fairness in AI research focuses on exposing biases in AI systems. A broader lens on fairness reveals that AI can serve a greater aspiration: rooting out societal inequities fr…
Hatemoji: A Test Suite and Adversarially-Generated Dataset for Benchmarking and Detecting Emoji-based Hate
Hannah Rose Kirk, Bertram Vidgen, Paul Röttger +2
Detecting online hate is a complex task, and low-performing models have harmful consequences when used for sensitive applications such as content moderation. Emoji-based hate is an…
Tiplines to Combat Misinformation on Encrypted Platforms: A Case Study of the 2019 Indian Election on WhatsApp
Ashkan Kazemi, Kiran Garimella, Gautam Kishore Shahi +2
There is currently no easy way to fact-check content on WhatsApp and other end-to-end encrypted platforms at scale. In this paper, we analyze the usefulness of a crowd-sourced "tip…
Deciphering Implicit Hate: Evaluating Automated Detection Algorithms for Multimodal Hate
Austin Botelho, Bertie Vidgen, Scott A. Hale
Accurate detection and classification of online hate is a difficult task. Implicit hate is particularly challenging as such content tends to have unusual syntax, polysemic words, a…
Claim Matching Beyond English to Scale Global Fact-Checking
Ashkan Kazemi, Kiran Garimella, Devin Gaffney +1
Manual fact-checking does not scale well to serve the needs of the internet. This issue is further compounded in non-English contexts. In this paper, we discuss claim matching as a…
Semantic Journeys: Quantifying Change in Emoji Meaning from 2012-2018
Alexander Robertson, Farhana Ferdousi Liza, Dong Nguyen +2
The semantics of emoji has, to date, been considered from a static perspective. We offer the first longitudinal study of how emoji semantics changes over time, applying techniques…