The DOI matches its Crossref record; 66 of the 66 references it cites were found in a registry or an index.
Fake news and COVID-19: modelling the predictors of fake news sharing among social media users
Open accessAbstract
Highlights • Social media, fake news, and COVID-19.• Misinformation on social media has fuelled panic regarding the COVID-19.• Altruism is the strongest predictor of fake news sharing on COVID-19.• Socialization, information seeking and pass time predict fake news sharing.• Entertainment is not associated with sharing fake news on COVID-19.
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Cites
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Cited by
Fake news, disinformation and misinformation in social media: a review
Aïmeur, E., Amri, S., & Brassard, G. (2023) · Social Network Analysis and Mining · doi:10.1007/s13278-023-01028-5 · Cited by 772
Rocha, Y. M., de Moura, G. A., Desidério, G. A., de Oliveira, C. H., Lourenço, F. D., & de Figueiredo Nicolete, L. D. (2023) · Journal of Public Health · doi:10.1007/s10389-021-01658-z · Cited by 482
De Coninck, D., Frissen, T., Matthijs, K., d’Haenens, L., Lits, G., Champagne-Poirier, O., Carignan, M.-E., David, M. D., Pignard-Cheynel, N., Salerno, S., et al. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.646394 · Cited by 308
Sundar, S. S., Molina, M. D., & Cho, E. (2021) · Journal of Computer-Mediated Communication · doi:10.1093/jcmc/zmab010 · Cited by 212
Virtual reality adoption during the COVID-19 pandemic: A uses and gratifications perspective
Ball, C., Huang, K.-T., & Francis, J. (2021) · Telematics and Informatics · doi:10.1016/j.tele.2021.101728 · Cited by 152
Metadata
- Authors
- Apuke, O. D., & Omar, B.
- Venue
- Telematics and Informatics
- Publisher
- Elsevier BV
- Published
- 2021-01
- Volume
- 56
- Pages
- 101475
- ISSN
- 0736-5853 (ISSN-L)
- OpenAlex
- W3045984998
- Cited by
- 732
- References
- 66
- FWCI
- 171.21
- Type
- journal article
- Language
- en
- Open access
- green
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
