How to identify fake news on social media : a systematic literature review

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dc.contributor.author Jowore, Russel
dc.contributor.author Turpin, Marita
dc.date.accessioned 2022-08-23T04:38:11Z
dc.date.issued 2022-05
dc.description.abstract Fake news in the form of disinformation on social networks has become a real concern, with serious potential consequences as a result of the massive viral spreading of false information and fake news. To this end, a systematic literature review was performed to investigate how the validity of news on social media can be determined. An initial literature search resulted in identifying 1105 potentially relevant articles, which were taken through a systematic sifting process resulting in 25 articles that were analysed in detail. During a thematic analysis, four themes emerged, related to fake news, social media, the influence of bias and information literacy. This paper discusses the findings related to the four themes. The findings were distilled into a set of five guidelines that may be used to determine the validity of news on social media. The techniques are: consider the source; beware of bots; be aware of bias and make use of multiple sources; beware of mimics; and ways to recognise good sources of information. This paper contributes to the current discourse on how to distinguish between valid news and fake news on social media, and provides guidance to assist with this ever growing and increasingly important information management challenge. en_US
dc.description.department Informatics en_US
dc.description.embargo 2023-05-17
dc.description.librarian hj2022 en_US
dc.description.sponsorship The National Research Foundation en_US
dc.description.uri http://www.springer.com/series/15179 en_US
dc.identifier.citation Jowore, R., Turpin, M. (2022). How to Identify Fake News on Social Media: A Systematic Literature Review. In: Rocha, A., Adeli, H., Dzemyda, G., Moreira, F. (eds) Information Systems and Technologies. WorldCIST 2022. Lecture Notes in Networks and Systems, vol 469. Springer, Cham. https://doi.org/10.1007/978-3-031-04819-7_11. en_US
dc.identifier.isbn 978-3-031-04819-7 (online)
dc.identifier.isbn 978-3-031-04818-0 (print)
dc.identifier.issn 2367-3370
dc.identifier.other 10.1007/978-3-031-04819-7_11
dc.identifier.uri https://repository.up.ac.za/handle/2263/86920
dc.language.iso en en_US
dc.publisher Springer en_US
dc.rights © 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG. The original publication is available at : http://www.springer.com/series/15179. en_US
dc.subject Fake news en_US
dc.subject Social media en_US
dc.subject Online media en_US
dc.subject Propaganda en_US
dc.subject Conspiracy en_US
dc.subject Systematic review en_US
dc.title How to identify fake news on social media : a systematic literature review en_US
dc.type Postprint Article en_US


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