Climate change in news media across the globe: An automated analysis of issue attention and themes in climate change coverage in 10 countries (2006–2018) V Hase, D Mahl, MS Schäfer, TR Keller Global Environmental Change 70, 102353, 2021 | 197 | 2021 |
On measuring trust and distrust in journalism: Reflection of the status quo and suggestions for the road ahead KM Engelke, V Hase, F Wintterlin Journal of trust research 9 (1), 66-86, 2019 | 130 | 2019 |
News media coverage of climate change in India 1997–2016: Using automated content analysis to assess themes and topics TR Keller, V Hase, J Thaker, D Mahl, MS Schäfer Environmental Communication 14 (2), 219-235, 2020 | 110 | 2020 |
Adapting to affordances and audiences? A cross-platform, multi-modal analysis of the platformization of news on Facebook, Instagram, TikTok, and Twitter V Hase, K Boczek, M Scharkow Digital Journalism 11 (8), 1499-1520, 2023 | 103 | 2023 |
Trust in online journalism KM Grosser, V Hase, B Blöbaum Trust and Communication in a Digitized World: Models and Concepts of Trust …, 2016 | 72 | 2016 |
Trustworthy or shady? Exploring the influence of verifying and visualizing user-generated content (UGC) on online journalism’s trustworthiness KM Grosser, V Hase, F Wintterlin Journalism Studies 20 (4), 500-522, 2019 | 55 | 2019 |
The things we fear. Combining automated and manual content analysis to uncover themes, topics and threats in fear-related news V Hase, KM Engelke, K Kieslich Journalism Studies 21 (10), 1384-1402, 2020 | 26 | 2020 |
What is terrorism (according to the news)? How the German press selectively labels political violence as “terrorism” V Hase Journalism 24 (2), 398-417, 2023 | 22 | 2023 |
Automated content analysis V Hase Standardisierte Inhaltsanalyse in der Kommunikationswissenschaft …, 2022 | 18 | 2022 |
Der „Computational Turn “: ein „interdisziplinärer Turn “? Ein systematischer Überblick zur Nutzung der automatisierten Inhaltsanalyse in der Journalismusforschung V Hase, D Mahl, MS Schäfer Medien & Kommunikationswissenschaft 70 (1-2), 60-78, 2022 | 17 | 2022 |
Computational methods for the analysis of climate change communication: Towards an integrative and reflexive approach MS Schäfer, V Hase Wiley Interdisciplinary Reviews: Climate Change 14 (2), e806, 2023 | 16 | 2023 |
Emotions in crisis coverage: How UK news media used fear appeals to report on the coronavirus crisis V Hase, KM Engelke Journalism and Media 3 (4), 633-649, 2022 | 16 | 2022 |
Terrorist organizations in the news: A computational approach to measure media attention toward terrorism L Hellmüller, V Hase, P Lindner Mass Communication and Society 25 (1), 134-157, 2022 | 15 | 2022 |
Integrating data donations in online surveys M Haim, D Leiner, V Hase Medien & Kommunikationswissenschaft, 130-137, 2023 | 13 | 2023 |
Technische Innovation, theoretische Sackgasse? Chancen und Grenzen der automatisierten Inhaltsanalyse in Lehre und Forschung K Boczek, V Hase Jahrestagung der Fachgruppe Journalistik/Journalismusforschung der Deutschen …, 2020 | 11 | 2020 |
Misclassification in automated content analysis causes bias in regression. Can we fix it? Yes we can! N TeBlunthuis, V Hase, CH Chan Communication Methods and Measures, 1-22, 2024 | 10 | 2024 |
Can transparency preserve journalism’s trustworthiness? Recipients’ views on transparency about source origin and verification regarding user-generated content in the news F Wintterlin, KM Engelke, V Hase SCM Studies in Communication and Media 9 (2), 218-240, 2020 | 10 | 2020 |
Gerhard Schröder S Boberg, V Hase, D Johnson Medienkanzler: Politische Kommunikation in der Kanzlerdemokratie, 221-261, 2016 | 10 | 2016 |
Can we get rid of bias? Mitigating systematic error in data donation studies through survey design strategies V Hase, M Haim Computational Communication Research 6 (2), 1, 2024 | 6 | 2024 |
Engaging the public or asking your friends? Analysing science-related crowdfunding using behavioural and survey data V Hase, MS Schäfer, J Metag, M Bischofberger, L Henry Public Understanding of Science 31 (8), 993-1011, 2022 | 6 | 2022 |