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Science Communication in the Age of Artificial Intelligence
6 references·0 citing·19 second hop
Science Communication in the Age of Artificial Intelligence (2025)Science Communication in the Age of Artif…Negotiating AI(s) Futures: Competing Imaginaries of AI by Stakeholders in the US, China, and Germany (2025)Negotiating AI(s) Futures: Co…ChatGPT’s Potential for Quantitative Content Analysis: Categorizing Actors in German News Articles (2025)ChatGPT’s Potential for Quant…All Eyez on AI: A Roadmap for Science Communication Research in the Age of Artificial Intelligence (2025)All Eyez on AI: A Roadmap for…How generative artificial intelligence portrays science: Interviewing ChatGPT from the perspective of different audience segments (2024)How generative artificial int…Generative AI and science communication in the physical sciences (2024)Generative AI and science com…The Notorious GPT: science communication in the age of artificial intelligence (2023)The Notorious GPT: science co…Machine behaviour (2019)ChatGPT is fun, but not an author (2023)Collaborating With ChatGPT: Considering the Implications of Generative Artificial Intelligence for Journalism and Media Education (2023)Editorial: Reconceptualizing public sphere(s) in the digital age? On the role and future of public sphere theory (2023)Friend or foe? Exploring the implications of large language models on the science system (2023)How widespread use of generative AI for images and video can affect the environment and the science of ecology (2024)The Evolution of ‘Public Understanding of Science’: Public Engagement as a Tool of Science Policy in the UK (2008)The Oxford Handbook of the Science of Science Communication (2017)Abstracts written by ChatGPT fool scientists (2023)Examining uncertainty in journal peer reviewers’ recommendations: a cross-sectional study (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)ChatGPT outperforms crowd workers for text-annotation tasks (2023)Supporting Qualitative Analysis with Large Language Models: Combining Codebook with GPT-3 for Deductive Coding (2023)Can Generative AI improve social science? (2024)Containing the Atom: Sociotechnical Imaginaries and Nuclear Power in the United States and South Korea (2009)Future Imperfect (2015)The global landscape of AI ethics guidelines (2019)
this work references cited by second hop

References

  • 2023The Notorious GPT: science communication in the age of artificial intelligence72 cited
  • 2024Generative AI and science communication in the physical sciences32 cited
  • 2025Negotiating AI(s) Futures: Competing Imaginaries of AI by Stakeholders in the US, China, and Germany20 cited
  • 2024How generative artificial intelligence portrays science: Interviewing ChatGPT from the perspective of different audience segments18 cited
  • 2025ChatGPT’s Potential for Quantitative Content Analysis: Categorizing Actors in German News Articles10 cited
  • 2025All Eyez on AI: A Roadmap for Science Communication Research in the Age of Artificial Intelligence10 cited

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