Igor Ryazanov’s research while affiliated with Umeå University and other places

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Publications (4)


Relative interest in ‘ChatGPT’ and ‘AI’ between October 2021 and October 2023 based on search queries. Dashed lines indicate the timeframe of the dataset, the dotted line—the launch date of ChatGPT
The general statistics of the dataset. a Distribution of articles in the dataset over time. b The number of articles per publisher: all articles split by the threshold date of the ChatGPT release, and the articles mentioning ChatGPT specifically (The 209 articles mentioning only ChatGPT but not AI are also included here)
The distribution of the most common frames in sentences mentioning AI: to the left is the entire dataset (a), to the right it is split into groups before and after the release of ChatGPT (b). b shows the combination of 15 most common frames before and after (17 in total). Statistically significant changes (p < 0.01) in bold
To the left are the most common frame-FE pairs that include ChatGPT as a frame element (The 209 articles mentioning only ChatGPT but not AI are also included here.) (a). To the right are the most common frame-FE pairs that include AI as a frame element before and after the release of ChatGPT (b). Statistically significant changes (p < 0.01) in bold
Frames related to danger before and after the release of ChatGPT. Statistically significant changes (p < 0.01) in bold

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How ChatGPT Changed the Media’s Narratives on AI: A Semi-automated Narrative Analysis Through Frame Semantics
  • Article
  • Full-text available

November 2024

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55 Reads

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7 Citations

Minds and Machines

Igor Ryazanov

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Carl Öhman

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Johanna Björklund

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—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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Fig. 6 Frame-FE pairs related to anthropomorphism of AI before and after the release of ChatGPT. Statistically significant changes (p<0.01) in bold
18 news websites from which the dataset was collected.
How ChatGPT Changed the Media's Narratives on AI: A Semi-Automated Narrative Analysis Through Frame Semantics

August 2024

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185 Reads

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.


How Does the Language of ‘Threat’ Vary Across News Domains? A Semi-Supervised Pipeline for Understanding Narrative Components in News Contexts

By identifying and characterising the narratives told in news media we can better understand political and societal processes. The problem is challenging from the perspective of natural language processing because it requires a combination of quantitative and qualitative methods. This paper reports on work in progress, which aims to build a human-in-the-loop pipeline for analysing how the variation of narrative themes across different domains, based on topic modelling and word embeddings. As an illustration, we study the language associated with the threat narrative in British news media.


Citations (2)


... Additionally, ChatGPT acts as a valuable educational evaluation tool, offering insights and diverse perspectives to make arguments and statements (Herbold et al., 2023). Educators can assign roles to GenAI to explore narratives from various perspectives (Ryazanov et al., 2025) and generate survey questions to gather student feedback (Jansen et al., 2023). For students, GenAI serves as a tutor to provide personalized guidance, adapting to individual student needs. ...

Reference:

Opportunities, Challenges and School Strategies for Integrating Generative AI in Education
How ChatGPT Changed the Media’s Narratives on AI: A Semi-automated Narrative Analysis Through Frame Semantics

Minds and Machines

... To broaden the perspective of Experiment 1, the datasets WIKI and YELP were added. WIKI contains biographies from Wikipedia [Devinney et al., 2023]. YELP 6 consists of a sample of Yelp reviews in a variety of subjects such as food, veterinarians, or hotels. ...

Developing a Multilingual Corpus of Wikipedia Biographies
  • Citing Conference Paper
  • January 2023