2020/04/25 by Koosha Zarei, Reza Farahbakhsh, Zarei, Koosha +6 · 1 voice
Computer Science · Medicine · Social Sciences · #COVID-19 diagnosis using AI #FOS: Computer and information sciences #Misinformation and Its Impacts #Sentiment Analysis and Opinion Mining #Social and Information Networks (cs.SI) #cs.SI
paper · pdf · doi:10.48550/arxiv.2004.12226
arxiv created 2020/04/25 · openalex publication_date 2020/04/25 · arxiv published 2020/04/25 · arxiv updated 2020/04/28 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
The novel coronavirus (COVID-19) pandemic outbreak is drastically shaping and reshaping many aspects of our life, with a huge impact on our social life. In this era of lockdown policies in most of the major cities around the world, we see a huge increase in people and professional engagement in social media. Social media is playing an important role in news propagation as well as keeping people in contact. At the same time, this source is both a blessing and a curse as the coronavirus infodemic has become a major concern, and is already a topic that needs special attention and further research. In this paper, we provide a multilingual coronavirus (COVID-19) Instagram dataset that we have been continuously collected since March 30, 2020. We are making our dataset available to the research community at Github. We believe that this contribution will help the community to better understand the dynamics behind this phenomenon in Instagram, as one of the major social media. This dataset could also help study the propagation of misinformation related to this outbreak.