Filter by author: Melanie Leidecker-Sandmann

Search results

• Date of publication Apr 14, 2025 Category: Article

  More than humanoid robots and cyborgs? How German print media visualize articles on artificial intelligence

  by Melanie Leidecker-Sandmann , Tabea Lüders , Carolin Moser , Vincent Robert Boger , Markus Lehmkuhl

  Engaging with the ongoing debate regarding the portrayal of artificial intelligence (AI) in the public sphere – particularly the alleged predominance of sci-fi imagery and humanoid robots – our study examines how six German print media visualize articles related to AI. A mixed-methods approach combines qualitative and quantitative visual content analysis, analyzing 818 images from articles published in 2019 and 2022/23. Our findings indicate that human figures, rather than robots, serve as dominant visual objects, and no pronounced gaps between textual and visual representations of AI were observed. Overall, German print media appear to present a differentiated perspective on AI, balancing opportunities and risks associated with this technology.

  Volume 24 • Issue 02 • 2025 • Science Communication in the Age of Artificial Intelligence (Science Communication & AI)

• Date of publication Apr 14, 2025 Category: Article

  ChatGPT’s potential for quantitative content analysis: categorizing actors in German news articles

  by Clarissa Hohenwalde , Melanie Leidecker-Sandmann , Nikolai Promies , Markus Lehmkuhl

  We assessed ChatGPT's ability to identify and categorize actors in German news media articles into societal groups. Through three experiments, we evaluated various models and prompting strategies. In experiment 1, we found that providing ChatGPT with codebooks designed for manual content analysis was insufficient. However, combining Named Entity Recognition with an optimized prompt for actor Classification (NERC pipeline) yielded acceptable results. In experiment 2, we compared the performance of gpt-3.5-turbo, gpt-4o, and gpt-4-turbo, with the latter performing best, though challenges remained in classifying nuanced actor categories. In experiment 3, we demonstrated that repeating the classification with the same model produced highly reliable results, even across different release versions.

  Volume 24 • Issue 02 • 2025 • Science Communication in the Age of Artificial Intelligence (Science Communication & AI)