Social Media Users Engagement on Hazard Characteristics, Affective Reponse PM2.5-related Problems: Insights from Social Listening Data
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Abstract
This study is aimed at examining the number of mentions and engagements by social media users on government management efficacy, hazard characteristics, and affective responses to PM2.5-related problems. The Risk Information Seeking and Processing Model was used as the theoretical framework for this study.
Data was collected from various social media platforms, including Facebook, Twitter, Instagram, and TikTok, using Mandala.AI Cosmos, a social listening tool. The data set contains conversations posted between November 1st, 2022, and April 30th, 2023. A coding sheet was formulated based upon the Risk Information Seeking and Processing Model to investigate social media user engagement related to the management efficacy of the government, hazard characteristics, and affective responses towards PM2.5. The data was analysed using descriptive statistics, including frequencies and percentages.
A total of 5,037 mentions and 1,404,408 engagements related to PM2.5 were found on social media. PM2.5 was mentioned most frequently on Facebook (3,631 mentions), followed by Twitter (1,058 mentions), Instagram (301 mentions), and Tiktok (47 mentions). These findings are significant as they contribute to recommendations for social media campaigns aimed at encouraging PM2.5 self-prevention among social media users.
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