Year: 2021
Type: conference-paper
Abstract: The massive spread of false information on social media has become a global risk especially in a global pandemic situation like COVID-19.False information detection has thus become a surging research topic in recent months.NLP4IF-2021 shared task on fighting the COVID-19 infodemic has been organised to strengthen the research in false information detection where the participants are asked to predict seven different binary labels regarding false information in a tweet.The shared task has been organised in three languages; Arabic, Bulgarian and English.In this paper, we present our approach to tackle the task objective using transformers.Overall, our approach achieves a 0.707 mean F1 score in Arabic, 0.578 mean F1 score in Bulgarian and 0.864 mean F1 score in English ranking 4 th place in all the languages.
Language: English
Subfield: Sociology and Political Science
Field: Social Sciences
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W3157174690