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Correlational Study
| Published: April 18, 2026
Correlational Study on Loneliness & Support Received from AI Platforms Among Young Adults
Student, Amity Institute of Behavioural and Allied Sciences, Amity University, Lucknow, Uttar Pradesh, India.
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Associate Professor, Amity Institute of Behavioural and Allied Sciences, Amity University, Lucknow, Uttar Pradesh, India.
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DIP: 18.01.017.20261402
DOI: 10.25215/1402.017
ABSTRACT
We conducted this study to examine the relationship among self-esteem, loneliness, and the support young adults receive from AI platforms while conversing with these tools for emotional support. Understanding AI’s impact on mental health and behavioural psychology is very important as its influence is seen exponentially increasing in this field. We have carefully chosen and used well-known industry-proven instruments like the UCLA Loneliness Scale, the Rosenberg Self-Esteem Scale, and the Internet Motive Questionnaire to collect data from N=80 young adults, out of which n=40 were male, and the other n=40 were female, in our relationship-based study. Descriptive statistics like Mean and Standard Deviation, and Pearson’s product-moment correlation coefficient were used to analyse the data recorded. Through these tests, we found that there was no statistically significant link between self-esteem and support received from AI Platforms which tells us that there are many other factors responsible for AI dependence than just self-esteem, but the results revealed a significant positive relation between loneliness and the support received from AI platforms which suggests that people who are experiencing increased loneliness are more likely to use AI platforms for support.
Keywords
Loneliness, Self-Esteem, AI Platforms, Artificial Intelligence, Emotional Support, Young Adults, Digital Mental Health, AI-Based Support Systems
This is an Open Access Research distributed under the terms of the Creative Commons Attribution License (www.creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any Medium, provided the original work is properly cited.
© 2026, Dixit, P. & Pandey, D.
Received: March 02, 2026; Revision Received: April 14, 2026; Accepted: April 18, 2026
Article Overview
ISSN 2348-5396
ISSN 2349-3429
18.01.017.20261402
10.25215/1402.017
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Published in Volume 14, Issue 2, April-June, 2026
