Year: 2024
Type: dissertation
Abstract: This dissertation examines COVID-19's impact on data journalism through the lens of Computational Social Science methods. It reveals the increased use of infographics, discovers expanded collaborations between data and science journalists, and observes divided perceptions of predictive reporting. It underscores the importance of interdisciplinary collaboration and the application of mixed-method analysis in understanding newsroom dynamics and audience engagement.
Authors: Witzenberger, Benedict Ludwig, Pfeffer, Jürgen 1976-, Technische Universität München
Institution: Technical University of Munich
Language: English
Subfield: Communication
Field: Social Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W6990075895