UPV at CheckThat! 2021: Mitigating Cultural Differences for Identifying Multilingual Check-worthy Claims

• URL: http://arxiv.org/abs/2109.09232v1
• Date: Sun, 19 Sep 2021 21:46:16 GMT
• Title: UPV at CheckThat! 2021: Mitigating Cultural Differences for Identifying Multilingual Check-worthy Claims
• Authors: Ipek Baris Schlicht, Angel Felipe Magnoss\~ao de Paula and Paolo Rosso
• Abstract summary: In this paper, we propose a language identification task as an auxiliary task to mitigate unintended bias. Our results show that joint training of language identification and check-worthy claim detection tasks can provide performance gains for some of the selected languages.
• Score: 6.167830237917659
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Identifying check-worthy claims is often the first step of automated fact-checking systems. Tackling this task in a multilingual setting has been understudied. Encoding inputs with multilingual text representations could be one approach to solve the multilingual check-worthiness detection. However, this approach could suffer if cultural bias exists within the communities on determining what is check-worthy.In this paper, we propose a language identification task as an auxiliary task to mitigate unintended bias.With this purpose, we experiment joint training by using the datasets from CLEF-2021 CheckThat!, that contain tweets in English, Arabic, Bulgarian, Spanish and Turkish. Our results show that joint training of language identification and check-worthy claim detection tasks can provide performance gains for some of the selected languages.

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