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In addition, it could have other effects on society such as an increase in hate speech towards ethnic groups or medical experts. To counteract the sheer amount of misinformation, there is a need to use automatic detection methods. In this paper we conduct a systematic review of the computer science literature exploring text mining techniques and machine learning methods to detect health misinformation. To organize the reviewed papers, we propose a taxonomy, examine publicly available datasets, and conduct a content-based analysis to investigate analogies and differences among Covid-19 datasets and datasets related to other health domains. Finally, we describe open challenges and conclude with future directions.<\/jats:p>","DOI":"10.1007\/s12652-023-04619-4","type":"journal-article","created":{"date-parts":[[2023,5,27]],"date-time":"2023-05-27T07:02:02Z","timestamp":1685170922000},"page":"2009-2021","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["Automatic detection of health misinformation: a systematic review"],"prefix":"10.1007","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5037-2203","authenticated-orcid":false,"given":"Ipek Baris","family":"Schlicht","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0009-0006-7412-0445","authenticated-orcid":false,"given":"Eugenia","family":"Fernandez","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1169-0978","authenticated-orcid":false,"given":"Berta","family":"Chulvi","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8922-1242","authenticated-orcid":false,"given":"Paolo","family":"Rosso","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,5,27]]},"reference":[{"key":"4619_CR1","doi-asserted-by":"publisher","unstructured":"Abdul-Mageed M, Elmadany A, Nagoudi EMB (2021) ARBERT & MARBERT: Deep bidirectional transformers for Arabic. 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