Papers by Jordan Kraemer
A Community-Centric Perspective for Characterizing and Detecting Anti-Asian Violence-Provoking Speech (2024.acl-long)
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Gaurav Verma, Rynaa Grover, Jiawei Zhou, Binny Mathew, Jordan Kraemer, Munmun Choudhury, Srijan Kumar
| Challenge: | Using data from 420k Twitter posts, we characterize anti-Asian violence-provoking speech and collect a community-crowdsourced dataset to facilitate its large-scale detection. |
| Approach: | They develop a codebook to characterize anti-Asian violence-provoking speech and collect a community-crowdsourced dataset to facilitate its large-scale detection. |
| Outcome: | The proposed codebook analyzes 420k tweets over 3 years and compares classifiers with hateful speech classifier classifier to detect hateful content. |