{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,17]],"date-time":"2025-12-17T12:27:13Z","timestamp":1765974433769,"version":"build-2065373602"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"type":"print","value":"9781643681849"},{"type":"electronic","value":"9781643681856"}],"license":[{"start":{"date-parts":[[2021,5,27]],"date-time":"2021-05-27T00:00:00Z","timestamp":1622073600000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,5,27]]},"abstract":"<jats:p>International Organizations are seriously concerned about the fake news phenomenon. UNESCO has defined the term of misinformation\/disinformation, which are the two faces of fake news. European Commission has conducted a survey about \u201cFake News\u201d through EU citizens to estimate the awareness and people behaviour related to the appearance of fake news and disinformation on electronic. The findings are quite worrying, since about 40% come across fake news daily and 85% evaluate fake news as a problem. The aim of this work is to introduce an Artificial Intelligence approach, the Decision Trees algorithm to identify fake news on the COVID-19.<\/jats:p>","DOI":"10.3233\/shti210130","type":"book-chapter","created":{"date-parts":[[2021,5,27]],"date-time":"2021-05-27T08:38:54Z","timestamp":1622104734000},"source":"Crossref","is-referenced-by-count":4,"title":["Machine Learning to Identify Fake News for COVID-19"],"prefix":"10.3233","author":[{"given":"Marianna","family":"Isaakidou","sequence":"first","affiliation":[{"name":"Faculty of Nursing, National and Kapodistrian University of Athens, Athens, Greece"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Emmanouil","family":"Zoulias","sequence":"additional","affiliation":[{"name":"Health Informatics Laboratory, Faculty of Nursing, National and Kapodistrian University of Athens, Athens, Greece"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marianna","family":"Diomidous","sequence":"additional","affiliation":[{"name":"Faculty of Nursing, National and Kapodistrian University of Athens, Athens, Greece"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","Public Health and Informatics"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI210130","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,10,25]],"date-time":"2021-10-25T09:10:50Z","timestamp":1635153050000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI210130"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,5,27]]},"ISBN":["9781643681849","9781643681856"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti210130","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"type":"print","value":"0926-9630"},{"type":"electronic","value":"1879-8365"}],"subject":[],"published":{"date-parts":[[2021,5,27]]}}}