{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T04:38:10Z","timestamp":1779338290561,"version":"3.51.4"},"reference-count":70,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2024,2,5]],"date-time":"2024-02-05T00:00:00Z","timestamp":1707091200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100005802","name":"Romanian Ministry of Research and Innovation","doi-asserted-by":"publisher","award":["42PFE\/30.12.2021"],"award-info":[{"award-number":["42PFE\/30.12.2021"]}],"id":[{"id":"10.13039\/501100005802","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Bucharest University of Economic Studies during the PhD program","award":["42PFE\/30.12.2021"],"award-info":[{"award-number":["42PFE\/30.12.2021"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Algorithms"],"abstract":"<jats:p>Fake news is an explosive subject, being undoubtedly among the most controversial and difficult challenges facing society in the present-day environment of technology and information, which greatly affects the individuals who are vulnerable and easily influenced, shaping their decisions, actions, and even beliefs. In the course of discussing the gravity and dissemination of the fake news phenomenon, this article aims to clarify the distinctions between fake news, misinformation, and disinformation, along with conducting a thorough analysis of the most widely read academic papers that have tackled the topic of fake news research using various machine learning techniques. Utilizing specific keywords for dataset extraction from Clarivate Analytics\u2019 Web of Science Core Collection, the bibliometric analysis spans six years, offering valuable insights aimed at identifying key trends, methodologies, and notable strategies within this multidisciplinary field. The analysis encompasses the examination of prolific authors, prominent journals, collaborative efforts, prior publications, covered subjects, keywords, bigrams, trigrams, theme maps, co-occurrence networks, and various other relevant topics. One noteworthy aspect related to the extracted dataset is the remarkable growth rate observed in association with the analyzed subject, indicating an impressive increase of 179.31%. The growth rate value, coupled with the relatively short timeframe, further emphasizes the research community\u2019s keen interest in this subject. In light of these findings, the paper draws attention to key contributions and gaps in the existing literature, providing researchers and decision-makers innovative viewpoints and perspectives on the ongoing battle against the spread of fake news in the age of information.<\/jats:p>","DOI":"10.3390\/a17020070","type":"journal-article","created":{"date-parts":[[2024,2,6]],"date-time":"2024-02-06T05:36:43Z","timestamp":1707197803000},"page":"70","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":23,"title":["Numbers Do Not Lie: A Bibliometric Examination of Machine Learning Techniques in Fake News Research"],"prefix":"10.3390","volume":"17","author":[{"given":"Andra","family":"Sandu","sequence":"first","affiliation":[{"name":"Department of Economic Informatics and Cybernetics, Bucharest University of Economic Studies, 010552 Bucharest, Romania"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ioana","family":"Ioan\u0103\u0219","sequence":"additional","affiliation":[{"name":"Department of Business and Administration, University of Bucharest, 030018 Bucharest, Romania"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3589-1969","authenticated-orcid":false,"given":"Camelia","family":"Delcea","sequence":"additional","affiliation":[{"name":"Department of Economic Informatics and Cybernetics, Bucharest University of Economic Studies, 010552 Bucharest, Romania"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Margareta-Stela","family":"Florescu","sequence":"additional","affiliation":[{"name":"Department of Administration and Public Management, Bucharest University of Economic Studies, 010374 Bucharest, Romania"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4192-183X","authenticated-orcid":false,"given":"Liviu-Adrian","family":"Cotfas","sequence":"additional","affiliation":[{"name":"Department of Economic Informatics and Cybernetics, Bucharest University of Economic Studies, 010552 Bucharest, Romania"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2024,2,5]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Siino, M., Di Nuovo, E., Tinniriello, I., and La Cascia, M. 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