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      Trustworthiness Over Time on Twitter: Three Critical Periods for the Norwegian Health Authorities and Political Leadership During the COVID-19 Pandemic

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          Abstract

          Public health authorities and political leaders need to come across as trustworthy in their handling of a crisis like the COVID-19 pandemic. There is, however, little knowledge about how the affordances and dynamics of social media influence perceptions of trustworthiness, especially during a protracted crisis. In this article, we study how Twitter users were discussing the trustworthiness of the Norwegian health authorities and political leadership throughout three periods of partial lockdown during the COVID-19 pandemic. Across all the periods, there was a substantial number of positive comments, but these were outweighed by negative ones. Ability was clearly the most discussed factor for trustworthiness, and many users offered up their lay expertise. Discussions of integrity and benevolence were less frequent and mostly negative when they occurred. An increase in negative comments during the last period might be read as an expression of fatigue, and there was a noted dissatisfaction with the ability of the political leadership. Taken together, the study suggests Twitter to be an arena where users are exposed to arguments and counterarguments in negotiations over ability in particular. Such discussions can intensify as a crisis drags on and are important to grasp for health authorities and political leadership alike. Thus, the study sheds light on the contribution that a socio-technical platform like Twitter makes to the discursive formation of trustworthiness over time, which in turn might function to strengthen or erode public trust in public authorities and political leadership.

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          Most cited references39

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          NOT SO DIFFERENT AFTER ALL: A CROSS-DISCIPLINE VIEW OF TRUST.

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            An Integrative Model of Organizational Trust

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              The kappa statistic in reliability studies: use, interpretation, and sample size requirements.

              This article examines and illustrates the use and interpretation of the kappa statistic in musculoskeletal research. The reliability of clinicians' ratings is an important consideration in areas such as diagnosis and the interpretation of examination findings. Often, these ratings lie on a nominal or an ordinal scale. For such data, the kappa coefficient is an appropriate measure of reliability. Kappa is defined, in both weighted and unweighted forms, and its use is illustrated with examples from musculoskeletal research. Factors that can influence the magnitude of kappa (prevalence, bias, and non-independent ratings) are discussed, and ways of evaluating the magnitude of an obtained kappa are considered. The issue of statistical testing of kappa is considered, including the use of confidence intervals, and appropriate sample sizes for reliability studies using kappa are tabulated. The article concludes with recommendations for the use and interpretation of kappa.
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                Author and article information

                Journal
                Soc Media Soc
                Soc Media Soc
                SMS
                spsms
                Social Media + Society
                SAGE Publications (Sage UK: London, England )
                2056-3051
                8 June 2023
                Apr-Jun 2023
                8 June 2023
                : 9
                : 2
                : 20563051231179689
                Affiliations
                [1 ]SINTEF Digital, Norway
                [2 ]University of Oslo, Norway
                Author notes
                [*]Jannicke Thinn Fiskvik, SINTEF Digital, Strindvegen 4, 7034 Trondheim, Norway. Email: jannicke.fiskvik@ 123456sintef.no
                Author information
                https://orcid.org/0000-0001-5389-7112
                Article
                10.1177_20563051231179689
                10.1177/20563051231179689
                10264858
                0a465eaa-c197-40d0-885c-d0c6690492b6
                © The Author(s) 2023

                This article is distributed under the terms of the Creative Commons Attribution 4.0 License ( https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages ( https://us.sagepub.com/en-us/nam/open-access-at-sage).

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                Custom metadata
                April-June 2023
                ts1

                public health authorities,twitter,trustworthiness,covid-19,lockdown

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