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      Faces of companies: Personalization of corporate coverage in crisis and non-crisis periods

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      Journalism
      SAGE Publications

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          Abstract

          Journalists need to make complex economic issues comprehensible for their readers. One possibility to do so is using personalization and putting company representatives (e.g. CEO, spokesperson) instead of the company as an organization in the focus of their work. Especially in times of crisis, the use of personalization could increase because crises are often associated with great uncertainty and complexity. Therefore, this study examines personalization in corporate coverage during crisis and non-crisis periods. To this end, we analyzed the coverage of four different German print media before, during, and after six selected corporate crises using a quantitative content analysis. The study shows that journalists focus more on internal stakeholders of companies at times of crisis compared to non-crisis periods. In general, the internal stakeholders journalists focus on are the CEOs as well as members of the board and supervisory board. Interestingly, in times of crisis, the coverage about the CEO declines, whereas the members of the board and supervisory board receive more attention.

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          An Attributional Theory of Motivation and Emotion

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            Protecting Organization Reputations During a Crisis: The Development and Application of Situational Crisis Communication Theory

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              Content Analysis in Mass Communication: Assessment and Reporting of Intercoder Reliability

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                Author and article information

                Contributors
                Journal
                Journalism
                Journalism
                SAGE Publications
                1464-8849
                1741-3001
                November 2021
                January 22 2020
                November 2021
                : 22
                : 11
                : 2747-2763
                Affiliations
                [1 ]Johannes Gutenberg-Universität Mainz, Germany
                Article
                10.1177/1464884920901615
                cde8de5d-9012-4e74-94fc-480cb2be4a47
                © 2021

                http://journals.sagepub.com/page/policies/text-and-data-mining-license

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