Methodology for identifying and tracking social media misinformation in tweets about the impact of the COVID-19 pandemic on reproductive health

Methodology for identifying and tracking social media misinformation in tweets about the impact of the COVID-19 pandemic on reproductive health

Автор: Zolotarev O.V., Khakimova A.Kh., Agrawal S., Jain S.K., Kaushal S.

Журнал: Вестник Российского нового университета. Серия: Сложные системы: модели, анализ и управление @vestnik-rosnou-complex-systems-models-analysis-management

Рубрика: Управление сложными системами

Статья в выпуске: 2, 2023 года.

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The purpose of the study was to develop a methodology for identifying and tracking social media misinformation in tweets about the impact of the coronavirus and COVID-vaccine on reproductive health, one of the reasons for which is the lack of awareness about aspects of the coronavirus infection. We use a combination of machine and expert methods, the latest scientific articles as the standard for detecting disinformation. The proposed methodology includes the study of scientific articles as a source of reliable truthful information about the topic (information standard) and Twitter messages (assessment of information compliance with the standard). The result of the study is the methodology for detecting disinformation in the messages of social network users. Based on this methodology, the following aspects of the problem have been developed: 1) the formation of a scientific standard; 2) the principle of comparing the directions of scientific research and discussions on Twitter; 3) the principle of contextual comparison of user and scientific ideas about problems. In contrast to the existing works, the principles based on the information from the content of scientific articles and messages from social networks processing are formulated.

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Misinformation, misinformation detecting, reproductive health, fertility, coronavirus, covid, vaccine, twitter, contextual comparison

Короткий адрес: https://sciup.org/148327116

IDR: 148327116   |   DOI: 10.18137/RNU.V9187.23.02.P.59

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