{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T07:20:44Z","timestamp":1769930444831,"version":"3.49.0"},"reference-count":22,"publisher":"Association for Computing Machinery (ACM)","issue":"1","license":[{"start":{"date-parts":[[2020,11,17]],"date-time":"2020-11-17T00:00:00Z","timestamp":1605571200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["Digit. Gov.: Res. Pract."],"published-print":{"date-parts":[[2021,1,31]]},"abstract":"<jats:p>The COVID-19 pandemic raises questions of trust in many domains, including interpersonal relationships, social behaviours, technology, and interactions with institutions and information. This prompts the need to consider trust holistically when attempting to understand it within any of these individual domains. An emerging theory of trust is applied to provide a perspective through which the interrelating effects of trust in multiple contexts can be understood in the wake of the COVID-19 outbreak. Understanding the collective erosion of trust in each of the domains addressed can contribute to understanding how citizens trust in important and reliable health advice provided by governments and institutions.<\/jats:p>","DOI":"10.1145\/3428472","type":"journal-article","created":{"date-parts":[[2020,10,30]],"date-time":"2020-10-30T17:09:25Z","timestamp":1604077765000},"page":"1-5","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":15,"title":["Trust and COVID-19"],"prefix":"10.1145","volume":"2","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5111-2016","authenticated-orcid":false,"given":"Lauren","family":"Fell","sequence":"first","affiliation":[{"name":"Queensland University of Technology, Brisbane, Queensland, Australia"}]}],"member":"320","published-online":{"date-parts":[[2020,11,17]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"crossref","first-page":"100371","DOI":"10.1016\/j.jbef.2020.100371","article-title":"Economic impact of government interventions during the COVID-19 pandemic: International evidence from financial markets","volume":"27","author":"Ashraf Badar Nadeem","year":"2020","unstructured":"Badar Nadeem Ashraf . 2020 . Economic impact of government interventions during the COVID-19 pandemic: International evidence from financial markets . Journal of Behavioral and Experimental Finance 27 (2020), 100371 . Badar Nadeem Ashraf. 2020. Economic impact of government interventions during the COVID-19 pandemic: International evidence from financial markets. Journal of Behavioral and Experimental Finance 27 (2020), 100371.","journal-title":"Journal of Behavioral and Experimental Finance"},{"key":"e_1_2_1_2_1","doi-asserted-by":"crossref","first-page":"481","DOI":"10.1016\/j.soscij.2014.10.005","article-title":"Focusing the mediating role of institutional trust: How does interpersonal trust promote organizational commitment","volume":"52","author":"Baek Young Min","year":"2015","unstructured":"Young Min Baek and Chan Su Jung . 2015 . Focusing the mediating role of institutional trust: How does interpersonal trust promote organizational commitment ? Social Science Journal 52 , 4 (2015), 481 -- 489 . 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Interpersonal and political trust: Modeling levels of citizens\u2019 trust . European Journal of Marketing 34 , 3 \u2013 4 (2010), 369--381. Phil Harris, Andrew Lock, Leon Schiffman, Shawn T. Thelen, and Elaine Sherman. 2010. Interpersonal and political trust: Modeling levels of citizens\u2019 trust. European Journal of Marketing 34, 3\u20134 (2010), 369--381.","journal-title":"European Journal of Marketing"},{"key":"e_1_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1287\/orsc.14.6.615.24872"},{"key":"e_1_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41591-020-0832-5"},{"key":"e_1_2_1_9_1","doi-asserted-by":"crossref","first-page":"329","DOI":"10.1111\/pcn.12995","article-title":"Trust is a key factor in the willingness of health professionals to work during the COVID-19 outbreak: Experience from the H1N1 pandemic in Japan 2009","volume":"74","author":"Imai Hissei","year":"2020","unstructured":"Hissei Imai . 2020 . 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Building trust while influencing online COVID-19 content in the social media world. Lancet Digital Health 2, 6 (2020), e277--e278.","journal-title":"Lancet Digital Health"},{"key":"e_1_2_1_14_1","volume-title":"Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work and Social Computing. 1726--1737","author":"Marlow Jennifer","year":"2016","unstructured":"Jennifer Marlow , Eveline Van Everdingen , and Daniel Avrahami . 2016 . Taking notes or playing games? Understanding multitasking in video communication . In Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work and Social Computing. 1726--1737 . Jennifer Marlow, Eveline Van Everdingen, and Daniel Avrahami. 2016. Taking notes or playing games? Understanding multitasking in video communication. In Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work and Social Computing. 1726--1737."},{"key":"e_1_2_1_15_1","volume-title":"Health 8 Medicine. 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