dc.contributor.author | SMARCEVSCAIA, Maria | |
dc.contributor.author | BOBICEV, Victoria | |
dc.date.accessioned | 2024-12-08T13:45:30Z | |
dc.date.available | 2024-12-08T13:45:30Z | |
dc.date.issued | 2024 | |
dc.identifier.citation | SMARCEVSCAIA, Maria and Victoria BOBICEV. Fake news detection in Moldova’s information space. In: Electronics, Communications and Computing (IC ECCO-2024): The conference program and abstract book: 13th intern. conf., Chişinău, 17-18 Oct. 2024. Technical University of Moldova. Chişinău: Tehnica-UTM, 2024, pp. 176-177. ISBN 978-9975-64-480-8 (PDF). | en_US |
dc.identifier.isbn | 978-9975-64-480-8 | |
dc.identifier.uri | http://repository.utm.md/handle/5014/28804 | |
dc.description | Only Abstract | en_US |
dc.description.abstract | The described research is dedicated to the development of an automatic fake news detection system. Fake news, also known as disinformation or misinformation, poses a significant threat to society. Fake news can erode trust in traditional media outlets, leading people to question credible sources, they can also undermine trust in government institutions and democratic processes. Emotionally written fake news can exacerbate social divisions by spreading false or misleading information to reinforce existing prejudices. Disinformation can damage the reputation of individuals, organizations, and even entire countries; they can influence elections by spreading false or misleading information about candidates or policies disrupting democratic processes by sowing confusion and distrust. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Technical University of Moldova | en_US |
dc.relation.ispartofseries | Electronics, Communications and Computing (IC ECCO-2024): 13th intern. conf., 17-18 Oct. 2024; | |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 United States | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/us/ | * |
dc.subject | natural language processing | en_US |
dc.subject | fake news | en_US |
dc.subject | automatic detection | en_US |
dc.subject | corpus of news | en_US |
dc.subject | machine learning | en_US |
dc.title | Fake news detection in Moldova’s information space | en_US |
dc.type | Article | en_US |
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