Search Results for author:
Found 7 papers, 3 papers with code
SemEval-2022 Task 8: Multilingual news article similarity
Thousands of new news articles appear daily in outlets in different languages.
Global News Synchrony and Diversity During the Start of the COVID-19 Pandemic
News coverage profoundly affects how countries and individuals behave in international relations.
People Make Better Edits: Measuring the Efficacy of LLM-Generated Counterfactually Augmented Data for Harmful Language Detection
CADs introduce minimal changes to existing training data points and flip their labels; training on them may reduce model dependency on spurious features.
Counterfactually Augmented Data and Unintended Bias: The Case of Sexism and Hate Speech Detection
Especially, construct-driven CAD -- perturbations of core features -- may induce models to ignore the context in which core features are used.
Pathways through Conspiracy: The Evolution of Conspiracy Radicalization through Engagement in Online Conspiracy Discussions
In this paper, we provide the empirical modeling of various radicalization phases in online CT discussion participants.
Characterizing Social Imaginaries and Self-Disclosures of Dissonance in Online Conspiracy Discussion Communities
We use these social imaginaries to create a computational framework for distinguishing belief and dissonance from general discussion about QAnon.
"Call me sexist, but...": Revisiting Sexism Detection Using Psychological Scales and Adversarial Samples
By providing a scale-based codebook and insights regarding the shortcomings of the state-of-the-art, we hope to contribute to the development of better and broader models for sexism detection, including reflections on theory-driven approaches to data collection.
