Étiquette : Liliann Fischer

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Comparing science communication ecosystems: towards a conceptual framework for cross-national research on science communication

Authors :  Liliann Fischer, Mike S. Schäfer , Hannah Schmid-Petri

This paper proposes a framework to guide cross-national, comparative research on science communication. Current research often relies on ad-hoc criteria for selecting countries (such as geographic proximity) or on pragmatic considerations (like data availability), which may limit the ability to capture broader contexts or identify the cases best suited for analysis.

Drawing on the ecosystems concept, we integrate theoretical perspectives on political systems, academic systems, and media systems to identify a set of ideational and structural factors that are essential for understanding country variations in science communication: political system settings, the role of the state/market, political attention to science communication, and societal values and norms.

Based on these, we suggest (and preliminarily illustrate) a typology of four ideal-types of science communication ecosystems — public-service-oriented, market-oriented, state-centred and fragmented — that could guide and should be tested in future research.

URL : Comparing science communication ecosystems: towards a conceptual framework for cross-national research on science communication

DOI : https://doi.org/10.22323/148320250924054927

 

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EN

Trust in science, trust in ChatGPT? How Germans think about generative AI as a source in science communication

Authors : Mike S. Schäfer, Bastian Kremer, Niels G. Mede, Liliann Fischer

Generative AI like ChatGPT has been diagnosed to fundamentally impact different realms of life. This includes science communication, where GenAI tools are becoming important sources of science-related content for many people. This raises the question of whether people trust GenAI as a source in this field, a question that has not been answered sufficiently yet.

Adapting a model developed by Roberts et al. [2013] and utilizing survey data from the German Science Barometer 2023, we find that Germans are rather sceptical about and do not strongly trust GenAI in science communication. Structural equation modelling shows that respondents’ trust in GenAI as a source in science communication is driven strongly by their general trust in science, which is largely driven by their knowledge about science and the perception that science improves quality of life.

URL : Trust in science, trust in ChatGPT? How Germans think about generative AI as a source in science communication

DOI : https://doi.org/10.22323/2.23090204

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EN

There really is a lot of shared understanding, but there are also differences”: identity configurations in science communicators’ professional identity

Authors : Liliann Fischer, Hannah Schmid-Petri

Science communication is a relatively new field of practice, shaped by a diverse group of professional science communicators and the way they make sense of their work. A distinguishing feature of these professional science communicators is the organisational context they work in.

Based on a typology from an organisational theory framework, this study explores the perspectives of 15 German science communicators through qualitative interviews. It seems that while they tend to draw on a common set of building blocks, they use them to construct individual professional identity configurations partly influenced by their organisational context.

URL : There really is a lot of shared understanding, but there are also differences”: identity configurations in science communicators’ professional identity

DOI : https://doi.org/10.22323/2.22010207