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Going beyond fact-checking to fight health misinformation: A multi-level analysis of the Twitter response to health news stories
Institution:1. Kedge Business School, Domaine de Luminy, BP 921, 13288 Marseille Cedex 9, France;2. John Molson School of Business, Concordia University, 1455 de Maisonneuve boul. West, Montreal, Canada;3. University of Twente, Drienerlolaan 5, 7522 NB Enschede, the Netherlands;1. School of Business, University of Petroleum & Energy Studies, Dehradun, India;2. Department of General Management, Jaipuria Institute of Management, Noida, UP, India;1. Surrey Business School, Rik Medlik Building, University of Surrey, Guildford, Surrey GU2 7XH, UK;2. Kedge Business School, Domaine de Luminy, BP 921, 13288 Marseille Cedex 9, France;3. Montpellier Business School, 2300 Avenue des Moulins, 34080, Montpellier, France;4. Queen Mary, University of London, Mile End Road, Bethnal Green, London E1 4NS, UK;1. Macquarie University, 3 Management Drive, NSW 2109, Australia;2. University of Economics, The University of Danang, 71 Ngu Hanh Son Street, Danang 550000, Viet Nam;3. Hisense, 17 Donghaixi Road, Qingdao 266071, China;4. University of Bradford, Richmond Rd, Bradford BD7 1DP, United Kingdom;5. University of Otago, 60 Clyde Street, Dunedin 9016, New Zealand;6. University of Tasmania, 1 Newnham Drive, TAS 7248, Australia;1. Information Technology Area, FORE School of Management, Adhitam Kendra, B-18, Adhitam Kendra, Qutub Institutional Area, New Delhi 110016, India;2. Communication Area, FORE School of Management, Adhitam Kendra, B-18, Qutub Institutional Area, New Delhi 110016, India;3. Management Information Systems and Analytics, International Management Institute Kolkata, 2/4C, Judges Ct Rd, Alipore, Kolkata, West Bengal 700027, India;4. Department of Marketing, Audencia Business School, 8 Rte de la Jonelière, 44300 Nantes, France
Abstract:Health misinformation has become an unfortunate truism of social media platforms, where lies could spread faster than truth. Despite considerable work devoted to suppressing fake news, health misinformation, including low-quality health news, persists and even increases in recent years. One promising approach to fighting bad information is studying the temporal and sentiment effects of health news stories and how they are discussed and disseminated on social media platforms like Twitter. As part of the effort of searching for innovative ways to fight health misinformation, this study analyzes a dataset of more than 1600 objectively and independently reviewed health news stories published over a 10-year span and nearly 50,000 Twitter posts responding to them. Specifically, it examines the source credibility of health news circulated on Twitter and the temporal, sentiment features of the tweets containing or responding to the health news reports. The results show that health news stories that are rated low by experts are discussed more, persist longer, and produce stronger sentiments than highly rated ones in the tweetosphere. However, the highly rated stories retained a fresh interest in the form of new tweets for a longer period. An in-depth understanding of the characteristics of health news distribution and discussion is the first step toward mitigating the surge of health misinformation. The findings provide insights into understanding the mechanism of health information dissemination on social media and practical implications to fight and mitigate health misinformation on digital media platforms.
Keywords:Health misinformation  Health news  Information quality  Source credibility  Tweet  Sentiment analysis
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