Publication Date:
2023
abstract:
The purpose of this paper is to show that the disagreement expressed in the data does not come from individual differences but from diverse and sometimes conflicting, social positions. Using a medium size dataset, 210 sexist jokes and 76 annotators, we test the hypothesis that, from a certain point (size of 12 in our data), adding more subjects to the annotation process does not increase the disagreement. We also measure the attitudes of subjects in sexism, introducing a new scale of Hostile Neosexism, and the consistent or inconsistent behaviour of annotators regarding their attitudes. We propose that perspectives are a combination of attitudes and behaviours, and we explore how they affect inter-rater agreement and which will be the number of annotators that we need to include all the perspectives in an annotation strategy.
Iris type:
4.1 Contributo in Atti di convegno
List of contributors:
Chulvi, B.; Fontanella, L.; Labadie-Tamayo, R.; Rosso, P.
Book title:
Proceedings of the 2nd Workshop on Perspectivist Approaches to NLP co-located with 26th European Conference on Artificial Intelligence (ECAI 2023)
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