Papers by Paula Fortuna
Toxic, Hateful, Offensive or Abusive? What Are We Really Classifying? An Empirical Analysis of Hate Speech Datasets (2020.lrec-1)
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| Challenge: | a recent study shows that many definitions are being used for equivalent concepts, making most datasets incompatible. |
| Approach: | They analyze six publicly available datasets to determine their similarity and compatibility . they propose to use Fast Text word vectors to analyze similarity between different datasets . |
| Outcome: | The proposed model performs better on similar datasets and worse on more non-offensive samples. |
Directions for NLP Practices Applied to Online Hate Speech Detection (2022.emnlp-main)
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| Challenge: | Existing approaches to address hate speech in online spaces have relied on conventions and practices from NLP. |
| Approach: | They argue that many conventions in NLP are poorly suited for the problem and encourage researchers to develop methods that are more appropriate for the task. |
| Outcome: | The proposed methods are poorly suited for the problem and should be adapted to address the propagation of online harms. |