  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 4th place in all the languages.
