Literature DB >> 27652523

Trust, but verify: social media models for disaster management.

Amisha M Mehta1, Axel Bruns2, Judith Newton3.   

Abstract

A lack of trust in the information exchanged via social media may significantly hinder decisionmaking by community members and emergency services during disasters. The need for timely information at such times, though, challenges traditional ways of establishing trust. This paper, building on a multi-year research project that combined social media data analysis and participant observation within an emergency management organisation and in-depth engagement with stakeholders across the sector, pinpoints and examines assumptions governing trust and trusting relationships in social media disaster management. It assesses three models for using social media in disaster management-information gathering, quasi-journalistic verification, and crowdsourcing-in relation to the guardianship of trust to highlight the verification process for content and source and to identify the role of power and responsibilities. The conclusions contain important implications for emergency management organisations seeking to enhance their mechanisms for incorporating user-generated information from social media sources in their disaster response efforts.
© 2017 The Author(s). Disasters © Overseas Development Institute, 2017.

Entities:  

Keywords:  agency theory; emergency management; natural disasters; social media; stakeholders; trust

Mesh:

Year:  2016        PMID: 27652523     DOI: 10.1111/disa.12218

Source DB:  PubMed          Journal:  Disasters        ISSN: 0361-3666


  1 in total

1.  Impact of Social Support and Social Trust on Public Viral Risk Response: A COVID-19 Survey Study.

Authors:  Eugene Song; Hyun Jung Yoo
Journal:  Int J Environ Res Public Health       Date:  2020-09-10       Impact factor: 3.390

  1 in total

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