# The Positive Influence of Large Language Models on Fact-Checking Practices: A Case Study of Grok

> Rather than treating large language models only as spreaders of misinformation, the paper argues that their spread has made people more aware of the…

URL: https://urisamet.com/library/llms-fact-checking-grok/

[Library](https://urisamet.com/library/) / ResearchUri Samet. World Journal of Advanced Engineering Technology and Sciences, 15(3), 1727–1738, 2025
[Read the paper](https://doi.org/10.30574/wjaets.2025.15.3.1123) [On Academia](https://www.academia.edu/143443098/The_positive_influence_of_large_language_models_on_fact_checking_practices_A_case_study_of_Grok)

## In short…
Rather than treating large language models only as spreaders of misinformation, the paper argues that their spread has made people more aware of the need to verify what they read.
Their known flaws, such as fabricated outputs and bias, push users toward more sceptical habits and more independent fact-checking.
Using data on adoption, trust and verification behaviour, with Grok’s integration into X as the case, it argues these tools can strengthen digital literacy.

- Large Language Models

- Fact-Checking

- Artificial Intelligence

- Grok

- Misinformation Detection

- AI-Assisted Verification

Journal
World Journal of Advanced Engineering Technology and Sciences

Issue
Volume 15, Issue 3, pages 1727–1738

Published
June 2025

DOI
[10.30574/wjaets.2025.15.3.1123](https://doi.org/10.30574/wjaets.2025.15.3.1123)

### Cite
Samet, U. (2025). The Positive Influence of Large Language Models on Fact-Checking Practices: A Case Study of Grok. World Journal of Advanced Engineering Technology and Sciences, 15(3), 1727–1738. https://doi.org/10.30574/wjaets.2025.15.3.1123

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