Tackling Social Bias against the Poor: a Dataset and a Taxonomy on Aporophobia (2025.findings-naacl)
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Georgina Curto, Svetlana Kiritchenko, Muhammad Hammad Fahim Siddiqui, Isar Nejadgholi, Kathleen C. Fraser
| Challenge: | Poverty is a multidimensional phenomenon that affects 712 million people worldwide . |
| Approach: | They propose to annotate a corpus of English tweets from five world regions for the presence of harmful beliefs and discriminative actions against poor people on social media. |
| Outcome: | The proposed model can be used to identify, track and mitigat aporophobia on social media at scale. |
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