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5. Modeling science communication: from linear to more complex models
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5. Modeling science communication: from linear to more complex models (2019)5. Modeling science communication: from l…How generative artificial intelligence portrays science: Interviewing ChatGPT from the perspective of different audience segments (2024)How generative artificial int…Evaluationsmethoden der Wissenschaftskommunikation (2023)Evaluationsmethoden der Wisse…Strategies for scientific popularization in the digital media environment (2022)Strategies for scientific pop…Reuters Institute Digital News Report 2015 (2015)The mediated construction of reality (2018)Science audiences, misinformation, and fake news (2019)Coefficient Alpha and the Internal Structure of Tests (1951)Designing and Conducting Mixed Methods Research (2007)“It’s Not so Easy to Measure impact”: A Qualitative Analysis of How Universities Measure and Evaluate Their Communication (2024)Two new Later Stone Age sites from the Final Pleistocene in the Falémé Valley, eastern Senegal (2024)MTLD, vocd-D, and HD-D: A validation study of sophisticated approaches to lexical diversity assessment (2010)What social media told us in the time of COVID-19: a scoping review (2021)Opinion Paper: “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy (2023)Science Communication in the Age of Artificial Intelligence (2025)
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  • 2024How generative artificial intelligence portrays science: Interviewing ChatGPT from the perspective of different audience segments18 cited
  • 2023Evaluationsmethoden der Wissenschaftskommunikation12 cited
  • 2022Strategies for scientific popularization in the digital media environment9 cited

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