Toward a perspectivist turn in ground truthing for predictive computing

F Cabitza, A Campagner, V Basile - … of the AAAI Conference on Artificial …, 2023 - ojs.aaai.org
Abstract Most current Artificial Intelligence applications are based on supervised Machine
Learning (ML), which ultimately grounds on data annotated by small teams of experts or …

I beg to differ: how disagreement is handled in the annotation of legal machine learning data sets

D Braun - Artificial intelligence and law, 2024 - Springer
Legal documents, like contracts or laws, are subject to interpretation. Different people can
have different interpretations of the very same document. Large parts of judicial branches all …

Online conspiracy communities are more resilient to deplatforming

C Monti, M Cinelli, C Valensise, W Quattrociocchi… - PNAS …, 2023 - academic.oup.com
Online social media foster the creation of active communities around shared narratives.
Such communities may turn into incubators for conspiracy theories—some spreading violent …

HateDay: Insights from a Global Hate Speech Dataset Representative of a Day on Twitter

M Tonneau, D Liu, N Malhotra, SA Hale… - arxiv preprint arxiv …, 2024 - arxiv.org
To tackle the global challenge of online hate speech, a large body of research has
developed detection models to flag hate speech in the sea of online content. Yet, due to …

DIVERSE: A Dataset of YouTube Video Comment Stances with a Data Programming Model

IJ Cruickshank, LHX Ng, A Soofi - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
Public opinion of military organizations plays a crucial role in their ability to recruit talented
individuals. As recruitment increasingly extends into digital spaces like social media …