Research summary

One student in five researched an academic question with a chatbot — and not one of the quotations it supplied exists

Paper-craft illustration of a meticulously made frame whose interior is empty — the same ground as the background

Summarising the article

ai, Post-Truth Realities, and Thai Students’ Information-Seeking Behavior

Assoc. Prof. Dr. Pavel Slutskiy · Manusya: Journal of Humanities · 2025

The question

Given a task that requires unfamiliar academic material, where do Thai students go for it, and how well does what an AI returns hold up when checked against the original works?

How it was done

240 undergraduates at Chulalongkorn University were given the same task: quickly find out what Rudolf Carnap thought about verificationism and support the summary with a quotation from one of his works, using any online source they liked. Immediately afterwards a structured questionnaire recorded which source they had used, down to the version of the tool. The researchers then checked every quotation the students submitted against the work it was attributed to.

What it found

  • Google 57%, a chatbot 22%, Wikipedia 21% — more than a fifth chose a conversational AI as their main source for a task requiring an academic citation, citing the directness and brevity of the answers.
  • 37 submissions contained a quotation attributed to Carnap, complete with the title of the work and the year of publication, in the form a scholarly citation takes.
  • Not one of those quotations appears in the work it cites. All of them were generated text imitating his style and ideas.
  • At the debriefing all 37 students said they were confident they had been quoting Carnap directly. None had thought to verify it.

Why it matters

The problem this study identifies is not that the AI was wrong. It is that the answer arrived in the form of something already verified — a title, a year, the author's cadence — which in academic work is precisely the signal that checking has been done. The authors' proposal is not a ban but disclosure: platforms stating plainly that they cannot verify sources or supply reliable citations, and institutions teaching verification back to the original as a new component of media literacy. The people who can act on this immediately are the ones who set the assignments.

Limits to know before citing this

One task, one university. The source mix reflects when the data was gathered: the article names ChatGPT 3.5 as the version in use (the manuscript was submitted in January 2024), and tools that now search the web and attach links may behave differently, so the 57/22/21 split is a snapshot, not a current figure. The topic was a specialised area of philosophy with limited primary text online — conditions that favour fabrication more than a general topic would. The study does not test which interventions actually reduce the problem.

Cite this work

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Slutskiy, P. (2025). AI, post-truth realities, and Thai students’ information-seeking behavior. Manusya: Journal of Humanities, 28(1), 1-19. https://doi.org/10.1163/26659077-20252811

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