Media change & media innovation
The media landscape is anything but static; it is in a constant state of flux. These changes, which vary in their intrusiveness, are often driven by technological innovations that change the way content is created, consumed and interacted with. Understanding these dynamic processes is critical to adapting to the evolving media ecosystem and anticipating future developments.
Our latest research addresses the diverse impacts of artificial intelligence (AI) on both individuals and society. Our current projects deal with topics such as
- the public discourse on artificial intelligence as it emerges from media coverage.
- the effects of deepfakes in political communication, in particular on political attitudes, emotions and voting intentions.
- how AI can improve the attractiveness, accessibility and effectiveness of fact-checks.
Using both quantitative and qualitative methods, we aim to provide insights that not only advance the academic understanding of media change, but are also useful to the media industry and enable the public to navigate the complexity of the modern media environment.
Members
Current projects (selection)
- Coming soon!
Current publications (selection)
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Dan, V., & Coleman, R. (2024). 'I'll change my beliefs when I see it': Video fact checks outperform text fact checks in correcting misperceptions among those holding false or uncertain pre-existing beliefs. Communication Research.
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Dan, V., & Arendt, F. (2024). Visuals as identity markers in political communication on social media: Evidence for effects of visual cues in liberals, but not in conservatives. Mass Communication and Society. https://doi.org/10.1080/15205436.2024.2333404
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Dan, V., & Mahlmeister, S. (2023). The boon and bane of covert advertising. Consumer perceptions of pharmaceutical companies' disease-awareness websites. European Journal of Health Communication, 4(3), 93-113. https://doi.org/10.47368/ejhc.2023.306