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Exploring social media usage in improving public perception on workplace violence against healthcare workers

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  • Lian, Ying
  • Dong, Xuefan

Abstract

Workplace violence against healthcare workers has been a major social problem in many countries. A misunderstanding between patients and physicians is the primary cause of violence . The recent rise of social media offered a new communication channel between the government and the public. This study aims to explore and examine the use of social media to improve public perception about the medical workplace violence by considering a recently issued policy in China. We collected 12,250 posts before, during and after the implementation of the policy from Weibo, which is similar to Twitter. Sentiment classification and topic clustering methods were used to analyze the data. One-way ANOVA was applied to assess the changes of public sentiments over time. Results showed that the proportion of posts with negative sentiment statistically significantly decreased after the release of the policy, indicating the effectiveness of social media in improving public perception about the medical workplace violence, to a large extent. Topic clustering results regarding the policy showed that most people supported the policy. However, some believe that punishment measures contained in the policy need to be strengthened and that more attention should be paid to the hospitals and medical staffs, as well as how to effectively protect the interests of patients. Based on these findings, we suggested government to effectively and scientifically use social media to address medical workplace violence from the perspective of the public and further consider its causes in terms of both patients and medical staffs, and building an expert witness system seems to be helpful. Measures for guaranteeing the safety of medical staffs should be built by comprehensively evaluating the potential risk. These results can help governments increase the engagement of their citizens.

Suggested Citation

  • Lian, Ying & Dong, Xuefan, 2021. "Exploring social media usage in improving public perception on workplace violence against healthcare workers," Technology in Society, Elsevier, vol. 65(C).
  • Handle: RePEc:eee:teinso:v:65:y:2021:i:c:s0160791x21000348
    DOI: 10.1016/j.techsoc.2021.101559
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    1. Luo, Qiuju & Zhai, Xueting, 2017. "“I will never go to Hong Kong again!” How the secondary crisis communication of “Occupy Central” on Weibo shifted to a tourism boycott," Tourism Management, Elsevier, vol. 62(C), pages 159-172.
    2. Asongu, Simplice A. & Uduji, Joseph I. & Okolo-Obasi, Elda N., 2019. "Homicide and social media: Global empirical evidence," Technology in Society, Elsevier, vol. 59(C).
    3. Lian, Ying & Liu, Yijun & Dong, Xuefan, 2020. "Strategies for controlling false online information during natural disasters: The case of Typhoon Mangkhut in China," Technology in Society, Elsevier, vol. 62(C).
    4. Liu, Junqiang & Zhou, Hui & Liu, Lingrui & Wang, Chunxiao, 2020. "The weakness of the strong: Examining the squeaky-wheel effect of hospital violence in China," Social Science & Medicine, Elsevier, vol. 245(C).
    5. Majumdar, Adrija & Bose, Indranil, 2019. "Do tweets create value? A multi-period analysis of Twitter use and content of tweets for manufacturing firms," International Journal of Production Economics, Elsevier, vol. 216(C), pages 1-11.
    6. Ali, Ahsan & Bahadur, Waseem & Wang, Nan & Luqman, Adeel & Khan, Ali Nawaz, 2020. "Improving team innovation performance: Role of social media and team knowledge management capabilities," Technology in Society, Elsevier, vol. 61(C).
    7. Jaffar Abbas & Jaffar Aman & Mohammad Nurunnabi & Shaher Bano, 2019. "The Impact of Social Media on Learning Behavior for Sustainable Education: Evidence of Students from Selected Universities in Pakistan," Sustainability, MDPI, vol. 11(6), pages 1-23, March.
    8. Hesketh, Kathryn L. & Duncan, Susan M. & Estabrooks, Carole A. & Reimer, Marlene A. & Giovannetti, Phyllis & Hyndman, Kathryn & Acorn, Sonia, 2003. "Workplace violence in Alberta and British Columbia hospitals," Health Policy, Elsevier, vol. 63(3), pages 311-321, March.
    9. Sarah Kaplan & Keyvan Vakili, 2015. "The double-edged sword of recombination in breakthrough innovation," Strategic Management Journal, Wiley Blackwell, vol. 36(10), pages 1435-1457, October.
    10. Al-Hussein, Khalid, 2020. "The use of social media and perceptions of corruption within the Jordanian political elite," Technology in Society, Elsevier, vol. 62(C).
    11. Kaya, Tugberk, 2020. "The changes in the effects of social media use of Cypriots due to COVID-19 pandemic," Technology in Society, Elsevier, vol. 63(C).
    12. Nisar, Sobia & Shafiq, Muhammad, 2019. "Framework for efficient utilisation of social media in Pakistan's healthcare sector," Technology in Society, Elsevier, vol. 56(C), pages 31-43.
    13. Min-hua Huang & Taehee Whang & Lei Xuchuan, 2017. "The Internet, Social Capital, and Civic Engagement in Asia," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 132(2), pages 559-578, June.
    14. Agartan, Tuba I., 2015. "Health workforce policy and Turkey's health care reform," Health Policy, Elsevier, vol. 119(12), pages 1621-1626.
    15. Allen H. Huang & Reuven Lehavy & Amy Y. Zang & Rong Zheng, 2018. "Analyst Information Discovery and Interpretation Roles: A Topic Modeling Approach," Management Science, INFORMS, vol. 64(6), pages 2833-2855, June.
    16. Siyam, Nur & Alqaryouti, Omar & Abdallah, Sherief, 2020. "Mining government tweets to identify and predict citizens engagement," Technology in Society, Elsevier, vol. 60(C).
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