Findings of the NLP4IF-2021 Shared Tasks on Fighting the COVID-19 Infodemic and Censorship Detection
Результаты совместных заданий NLP4IF-2021 по борьбе с инфодемией COVID-19 и выявлению цензуры
2021-01-01
SCID: 54.1/38b7trh4
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COVID-19 infodemicNLP for Internet FreedomNLP4IF-2021 Shared Taskscensorship detectiondisinformation and propaganda
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Abstract (AI)
Shaden Shaar, Firoj Alam, Giovanni Da San Martino, Alex Nikolov, Wajdi Zaghouani, Preslav Nakov, Anna Feldman. Proceedings of the Fourth Workshop on NLP for Internet Freedom: Censorship, Disinformation, and Propaganda. 2021.
Key Findings
1
It situates the shared tasks within broader NLP challenges involving censorship, disinformation, and propaganda.
2
The paper reports findings from the NLP4IF-2021 shared tasks focused on combating the COVID-19 infodemic and detecting censorship.
3
The provided abstract contains no specific datasets, methods, quantitative results, or comparative performance findings.
Research Object
NLP4IF-2021 shared tasks on COVID-19 infodemic and censorship detection
Research Subject
Findings and performance of participating systems in detecting COVID-19-related disinformation and censorship
Publication Details
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2021-01-01
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