首页|Study Data from Bucharest University of Economic Studies Up- date Understanding of Machine Learning (Numbers Do Not Lie: A Bibliometric Examination of Machine Learning Techniques in Fake News Research)
Study Data from Bucharest University of Economic Studies Up- date Understanding of Machine Learning (Numbers Do Not Lie: A Bibliometric Examination of Machine Learning Techniques in Fake News Research)
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Current study results on artificial intelligence have been published. According to news originating from Bucharest, Romania, by NewsRx correspondents, research stated, "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." Financial supporters for this research include Romanian Ministry of Research And Innovation; Bucharest University of Economic Studies During The Phd Program. The news editors obtained a quote from the research from Bucharest University of Economic Studies: "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' 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%."
Bucharest University of Economic StudiesBucharestRomaniaEuropeCyborgsEmerging TechnologiesMachine Learning
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