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Valerie Hase
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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
1672021
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
1192019
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
1042020
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
742023
Trust in online journalism
KM Grosser, V Hase, B Blöbaum
Trust and Communication in a Digitized World: Models and Concepts of Trust …, 2016
702016
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
552019
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
242020
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
182023
Automated content analysis
V Hase
Standardisierte Inhaltsanalyse in der Kommunikationswissenschaft …, 2022
162022
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
152023
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
152022
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
142022
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
122022
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
102020
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
92020
Gerhard Schröder
S Boberg, V Hase, D Johnson
Medienkanzler: Politische Kommunikation in der Kanzlerdemokratie, 221-261, 2016
92016
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
82024
Integrating data donations in online surveys
M Haim, D Leiner, V Hase
Medien & Kommunikationswissenschaft, 130-137, 2023
72023
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
62022
Big data and computational methods: Methodological advances for analyzing mediated environmental communication
V Hase, MS Schäfer
The Routledge handbook of environment and communication, 239-252, 2022
42022
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