How ChatGPT Changed the Media's Narratives on AI: A Semi-Automated Narrative Analysis Through Frame Semantics

Igor Ryazanov, Carl Öhman, Johanna Björklund
8/12/2024
cs.CLcs.CY

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Abstract

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 six months 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.

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Cite this paper

@article{ryazanov2024chatgpt,
  title  = {How ChatGPT Changed the Media's Narratives on AI: A Semi-Automated Narrative Analysis Through Frame Semantics},
  author = {Igor Ryazanov and Carl Öhman and Johanna Björklund},
  year   = {2024},
  eprint = {2408.06120},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2408.06120v2}
}

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