How ChatGPT Changed the Media's Narratives on AI: A Semi-Automated Narrative Analysis Through Frame Semantics
<|reference_start|>How ChatGPT Changed the Media's Narratives on AI: A Semi-Automated Narrative Analysis Through Frame Semantics: The recent explosion of attention to AI is arguably one of the biggest in the technology's media coverage. To investigate the effects it has on the discourse, we perform a mixed-method frame semantics-based analysis on a dataset of more than 49,000 sentences collected from 5846 news articles that mention AI. The dataset covers the twelve-month period centred around the launch of OpenAI's chatbot ChatGPT and is collected from the most visited open-access English-language news publishers. Our findings indicate that during the half year succeeding the launch, media attention rose tenfold$\unicode{x2014}$from already historically high levels. During this period, discourse has become increasingly centred around experts and political leaders, and AI has become more closely associated with dangers and risks. A deeper review of the data also suggests a qualitative shift in the types of threat AI is thought to represent, as well as the anthropomorphic qualities ascribed to it.<|reference_end|>
@article{ryazanov2024how,
    title={How ChatGPT Changed the Media's Narratives on AI: A Semi-Automated
  Narrative Analysis Through Frame Semantics},
    author={Igor Ryazanov, Carl "Ohman, Johanna Bj"orklund},
    journal={arXiv preprint arXiv:2408.06120},
    year={2024},
    archivePrefix={arXiv},
    eprint={2408.06120},
    primaryClass={cs.CL cs.CY}
}