Multi-label multi-class COVID-19 Arabic Twitter dataset with fine-grained misinformation and situational information annotations
Since the inception of the current COVID-19 pandemic, related misleading information has spread at a remarkable rate on social media, leading to serious implications for individuals and societies.Although COVID-19 looks to be ending for most places after the sharp shock of Omicron, severe new variants can emerge read more and cause new waves, espec