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Building community resilience on social media to help recover from the COVID-19 pandemic.
Xie, Lola; Pinto, Juliet; Zhong, Bu.
  • Xie L; Donald P. Bellisario College of Communications, Pennsylvania State University, 8 Carnegie Building, University Park, PA, 16802, USA.
  • Pinto J; Donald P. Bellisario College of Communications, Pennsylvania State University, 210 Carnegie Building, University Park, PA, 16802, USA.
  • Zhong B; School of Communication, Hong Kong Baptist University, Hong Kong, China.
Comput Human Behav ; 134: 107294, 2022 Sep.
Article in English | MEDLINE | ID: covidwho-1778031
ABSTRACT
Facing the Covid outbreaks, public health researchers share a consensus that community resilience should be maintained and strengthened because it helps mitigate the physical and emotional tolls on individuals and communities. One way to achieve the goal is to build and strengthen community resilience through social media. However, social media's role in building community resilience has been poorly understood from a behavioral perspective. Guiding by uses and gratification theory and the coping literature, we build a model to examine how social media behaviors may influence community members' perceived community resilience, providing a "bottom-up" voice to deepen our understanding of community resilience and its implications for public health. The results shows that community members' social media engagement was significantly associated with their perceived community resilience. While helping others on social media led people to perceive their communities as less resilient, the use of social media for social support helped foster social capital, leading to more perceived resilience at the collective level. Overall, social media use played important roles in shaping people's perception of community resilience, helping community members and organizations evaluate their strengths and weaknesses, and make improvement to better address future challenges in the times of global disasters.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies Language: English Journal: Comput Human Behav Year: 2022 Document Type: Article Affiliation country: J.chb.2022.107294

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies Language: English Journal: Comput Human Behav Year: 2022 Document Type: Article Affiliation country: J.chb.2022.107294