A Comprehensive Study of the Perception-Reality Gap in AI-Driven Job Displacement Anxiety: Dataset, Models, and Policy Implications

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{192872,
        author = {Ranveer Singh and Aryan Somanna and Sidhesh Mishra and Tavishi Bharadwaj},
        title = {A Comprehensive Study of the Perception-Reality Gap in AI-Driven Job Displacement Anxiety: Dataset, Models, and Policy Implications},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {9},
        pages = {2856-2863},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=192872},
        abstract = {},
        keywords = {AI anxiety, job displacement fear, NLP classification, explainable AI, labor economics, policy informatics, human-AI interaction},
        month = {February},
        }

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