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Issue title: Workplace Violence Prevention using Security Robots
Guest editors: Priyan Malarvizhi Kumar, Hari Mohan Pandey and Gautam Srivastava
Article type: Research Article
Authors: Chen, Longa; * | Sivaparthipan, C.B.b | Rajendiran, Sowmipriyac
Affiliations: [a] Institute of New Media Studies, Soochow University, Suzhou, China | [b] SNS College of Technology, Coimbatore, India | [c] Ecole Internationale Des Sciences du Traitement de l’Information (EISTI), Cergy, France
Correspondence: [*] Address for correspondence: Long Chen, Institute of New media Studies, Soochow University, Suzhou, 215006, China. E-mail: [email protected].
Abstract: BACKGROUND:In recent years, social media have filtered our life both in the professional and personal aspects. Currently, most of us suffer from poor quality of thinking, which is due to the impact of social media towards our lives, particularly in the health care arena. OBJECTIVES:In this article, cultural tension due to social media creates an unwanted risk to the youngsters and others with sleep deprivation. They become dependent on staying dynamic via social networking sites media all the time. As indicated by an ongoing report, there is a reliable connection between the measure of time spent via web-based networking media and depression among youthful grown-ups, which creates unprofessional problems and potential healthcare risk in individuals due to the usage of social media. RESULTS:This article speaks about the research gap and possible risks reforming strategies on healthcare communication in social media through statistical analysis. CONCLUSION:The experimental validation of case studies shows prominent solutions that have not been addressed in traditional methods.
Keywords: Dynamic system, statistical analysis, health issues, data collection, social media
DOI: 10.3233/WOR-203428
Journal: Work, vol. 68, no. 3, pp. 945-953, 2021
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