The Application of Artificial Intelligence in Social Research

This article examines the dual role of AI in social research, both as a subject of study and as a research tool. As humans tend to personalize new media and form unique relationships with them, this tendency is further amplified by generative AI models. Consequently, it is essential to investigate the “human-like” qualities exhibited in interactions with AI and how these models respond to users. Given the rapid pace of technological advancement, such research should be conducted periodically. Simultaneously, AI unlocks new possibilities for analyzing survey and test data, allowing researchers to move beyond rigid frameworks and explore more complex relationships and correlations than traditional methods permit. By leveraging neural networks, it becomes possible to detect correlations between questions and answers, irrespective of prior segmentation.

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Publication Details

Journal
International Journal of Pedagogy Innovation and New Technologies
Published
2025-06-30
DOI
https://doi.org/10.71358/ijpint.2320
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
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article

The Application of Artificial Intelligence in Social Research

Zbigniew Łęski, Maciej Orzechowski
International Journal of Pedagogy Innovation and New Technologies
Ethics and Social Impacts of AI
article

The Application of Artificial Intelligence in Social Research

Zbigniew Łęski, Maciej Orzechowski
article en

Abstract

This article examines the dual role of AI in social research, both as a subject of study and as a research tool. As humans tend to personalize new media and form unique relationships with them, this tendency is further amplified by generative AI models. Consequently, it is essential to investigate the “human-like” qualities exhibited in interactions with AI and how these models respond to users. Given the rapid pace of technological advancement, such research should be conducted periodically. Simultaneously, AI unlocks new possibilities for analyzing survey and test data, allowing researchers to move beyond rigid frameworks and explore more complex relationships and correlations than traditional methods permit. By leveraging neural networks, it becomes possible to detect correlations between questions and answers, irrespective of prior segmentation.

International Journal of Pedagogy Innovation and New TechnologiesVol. 12(1)
Jan Długosz University (PL), Tamedia (Switzerland) (CH)
Openalex Percentile: Top 82%
Ethics and Social Impacts of AI
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