mlsanityData to 7 Oct 2026

"YES! YES! I absolutely love this insight!" Affirmative Narration as Interactional Strategy in Dialogues with LLM Chatbots

arXiv 2607.28646 ↗First posted 1 Jun 2026cs.HC cs.AIcited by 0

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Abstract (arXiv)

This article analyses narrative mechanisms that are common in dialogues with LLM chatbots. In combination, these mechanisms produce an interactional strategy for maximising user engagement, which we call affirmative narration. Affirmative narration serves to convince users of the chatbot's utility. We analyse three narrative mechanisms that support affirmative narration in human-LLM dialogues: firstly, guiding the user to view the chatbot as an intelligent and reliable character; secondly, activating masterplots, culturally significant and recurring story templates; and thirdly, using characters and masterplots not only to affirm, but also to isolate the user. The case studies range from a journalist's unsettling chatbot experiment to cases where users have experienced delusions or even died by suicide after lengthy interactions with a chatbot. The analyses illustrate the worrying sides of affirmative narration, and the article thus concludes with a discussion of LLMs as a genre of fictional narrative media that requires a new type of literacy.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 2 of its 46 references that are in the map. First posted on arXiv 1 Jun 2026.

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References · 2

  1. 2023Towards Understanding Sycophancy in Language Modelscited by 988
  2. 2023Experimental Narratives: A Comparison of Human Crowdsourced Storytelling and AI Storytellingcited by 26

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