Large Arabic Twitter Dataset on COVID-19
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Abstract (arXiv)
The 2019 coronavirus disease (COVID-19), emerged late December 2019 in China, is now rapidly spreading across the globe. At the time of writing this paper, the number of global confirmed cases has passed two millions and half with over 180,000 fatalities. Many countries have enforced strict social distancing policies to contain the spread of the virus. This have changed the daily life of tens of millions of people, and urged people to turn their discussions online, e.g., via online social media sites like Twitter. In this work, we describe the first Arabic tweets dataset on COVID-19 that we have been collecting since January 1st, 2020. The dataset would help researchers and policy makers in studying different societal issues related to the pandemic. Many other tasks related to behavioral change, information sharing, misinformation and rumors spreading can also be analyzed.
Key facts. Cited by 10 papers in the map (data through 7 Oct 2026). First posted on arXiv 9 Apr 2020.
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Citing papers per year: 2021: 4; 2022: 3; 2023: 2; 2024: 1.
10 papers.
- 2022Detect Rumors in Microblog Posts for Low-Resource Domains via Adversarial Contrastive Learningcited by 41
- 2021Findings of the NLP4IF-2021 Shared Tasks on Fighting the COVID-19 Infodemic and Censorship Detectioncited by 14
- 2021TBCOV: Two Billion Multilingual COVID-19 Tweets with Sentiment, Entity, Geo, and Gender Labelscited by 11
- 2022An Exploratory Study of Tweets about the SARS-CoV-2 Omicron Variant: Insights from Sentiment Analysis, Language Interpretation, Source Tracking, Type Classification, and Embedded URL Detectioncited by 7
- 2022ArCovidVac: Analyzing Arabic Tweets About COVID-19 Vaccinationcited by 3
- 2021AraCOVID19-MFH: Arabic COVID-19 Multi-label Fake News and Hate Speech Detection Datasetcited by 2
- 2023A Unified Contrastive Transfer Framework with Propagation Structure for Boosting Low-Resource Rumor Detectioncited by 1
- 2023Detecting Suicidality in Arabic Tweets Using Machine Learning and Deep Learning Techniquescited by 1
- 2024Five Years of COVID-19 Discourse on Instagram: A Labeled Instagram Dataset of Over Half a Million Posts for Multilingual Sentiment Analysiscited by 1
- 2021AraCOVID19-SSD: Arabic COVID-19 Sentiment and Sarcasm Detection Datasetcited by 0
- 2024Five Years of COVID-19 Discourse on Instagram: A Labeled Instagram Dataset of Over Half a Million Posts for Multilingual Sentiment Analysis4 Oct 2024
- 2023Detecting Suicidality in Arabic Tweets Using Machine Learning and Deep Learning Techniques1 Sep 2023
- 2023A Unified Contrastive Transfer Framework with Propagation Structure for Boosting Low-Resource Rumor Detection4 Apr 2023
- 2022An Exploratory Study of Tweets about the SARS-CoV-2 Omicron Variant: Insights from Sentiment Analysis, Language Interpretation, Source Tracking, Type Classification, and Embedded URL Detection20 Jul 2022
- 2022Detect Rumors in Microblog Posts for Low-Resource Domains via Adversarial Contrastive Learning18 Apr 2022
- 2022ArCovidVac: Analyzing Arabic Tweets About COVID-19 Vaccination17 Jan 2022
- 2021AraCOVID19-SSD: Arabic COVID-19 Sentiment and Sarcasm Detection Dataset5 Oct 2021
- 2021TBCOV: Two Billion Multilingual COVID-19 Tweets with Sentiment, Entity, Geo, and Gender Labels4 Oct 2021
- 2021Findings of the NLP4IF-2021 Shared Tasks on Fighting the COVID-19 Infodemic and Censorship Detection23 Sep 2021
- 2021AraCOVID19-MFH: Arabic COVID-19 Multi-label Fake News and Hate Speech Detection Dataset7 May 2021