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- research-articleMay 2024Honorable Mention
Hate Speech Detection and Reclaimed Language: Mitigating False Positives and Compounded Discrimination
WEBSCI '24: Proceedings of the 16th ACM Web Science ConferencePages 241–249https://doi.org/10.1145/3614419.3644025While minimising false negatives in hate speech classification remains an important goal in order to reduce discrimination and increase fairness for online communities, there is a growing need to produce models that are sensitive to nuanced language ...
- research-articleMay 2024
Conspiracy Narratives on Voat: A Longitudinal Analysis of Cognitive Activation and Evolutionary Psychology Features
WEBSCI '24: Proceedings of the 16th ACM Web Science ConferencePages 42–47https://doi.org/10.1145/3614419.3644019Understanding defining features of conspiracy narratives presents a significant challenge. Existing research predominantly focuses on online platforms as alternative information sources, overlooking the self-reinforcing dynamics influencing content ...
- research-articleMay 2024
Inside the echo chamber: Linguistic underpinnings of misinformation on Twitter
WEBSCI '24: Proceedings of the 16th ACM Web Science ConferencePages 31–41https://doi.org/10.1145/3614419.3644009Social media users drive the spread of misinformation online by sharing posts that include erroneous information or commenting on controversial topics with unsubstantiated arguments often in earnest. Work on echo chambers has suggested that users’ ...
- research-articleMay 2024
Lost in Recursion: Mining Rich Event Semantics in Knowledge Graphs
WEBSCI '24: Proceedings of the 16th ACM Web Science ConferencePages 354–364https://doi.org/10.1145/3614419.3644001Our world is shaped by events of various complexity. This includes both small-scale local events like local farmer markets and large complex events like political and military conflicts. The latter are typically not observed directly but through the ...
- research-articleMay 2024
Contextualized Word Embeddings Expose Ethnic Biases in News
WEBSCI '24: Proceedings of the 16th ACM Web Science ConferencePages 290–295https://doi.org/10.1145/3614419.3643994The web is a major source for news and information. Yet, news can perpetuate and amplify biases and stereotypes. Prior work has shown that training static word embeddings can expose such biases. In this short paper, we apply both a conventional Word2Vec ...