Impact of COVID-19 on Predicting 2020 US Presidential Elections on Social Media-Reference-Cited by-同舟云学术

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Impact of COVID-19 on Predicting 2020 US Presidential Elections on Social Media

Published:2023 Issue: Volume: Page:163-173
ISSN:2367-3370
Container-title:Lecture Notes in Networks and Systems
language:
Short-container-title:

Author:

Khan Asif^ORCID,Zhang Huaping^ORCID,Boudjellal Nada^ORCID,Hayat Bashir^ORCID,Dai Lin,Ahmad Arshad^ORCID,Al-Hamed Ahmed

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-9331-2_14

Reference21 articles.

1. Ali H, Farman H, Yar H et al (2021) Deep learning-based election results prediction using Twitter activity. Soft Comput. https://doi.org/10.1007/s00500-021-06569-5

2. Asplund E (2022) Global overview of COVID-19: impact on elections | International IDEA. In: Int. IDEA. https://www.idea.int/news-media/multimedia-reports/global-overview-covid-19-impact-elections

3. Brito KDS, Adeodato PJL (2020) Predicting Brazilian and U.S. elections with machine learning and social media data. In: Proceedings of the international joint conference on neural networks

4. Budiharto W, Meiliana M (2018) Prediction and analysis of Indonesia Presidential election from Twitter using sentiment analysis. J Big Data 5:1–10. https://doi.org/10.1186/s40537-018-0164-1

5. Cassan G, Sangnier M (2022) The impact of 2020 French municipal elections on the spread of COVID-19. J Popul Econ 35:963–988. https://doi.org/10.1007/s00148-022-00887-0

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