ai, Post-Truth Realities, and Thai Students’ Information-Seeking Behavior
Year: 2025
Type: article
Study design: Observational Study
Abstract: This paper investigates how ai challenges traditional verification, citation, and evaluation principles, thereby eroding truth. ai -generated content, lacking verifiable citations, operates on probabilistic models that present information as probable rather than factual. The widespread reliance on ai for information-seeking risks diminishing critical evaluation, blending fact with fiction, and compromising academic integrity. To explore these effects, a mixed-method study was conducted involving 240 Chulalongkorn University students who used various online resources like Google, Wikipedia, and ChatGPT to research Rudolf Carnap’s verificationism views. Their choices were analyzed to assess dependency patterns on these platforms. Further, a qualitative analysis compared ai -generated responses with verified sources to gauge their accuracy. This comprehensive approach revealed significant insights into students’ preferences for information sources and the critical importance of validating ai outputs in academic settings, underscoring the nuanced impacts of digital tools on traditional knowledge standards.
Source: Manusya Journal of Humanities
Author: Pavel Slutskiy
Institution: Chulalongkorn University
Language: English
Subfield: Sociology and Political Science
Field: Social Sciences
Domain: Social Sciences
SDG: Quality education
Open Access status: diamond
OpenAlex ID: W4417517141