A case study on Deepfake Awareness, Mumbai, India

With the rapid growth of technology in both computing hardware and algorithms, Artificial Intelligence (AI) has potential in a wide range of fields such as face and speech recognition, image analysis, virtual assistance, search engines, and many more. Deep fake is one of those recently developed apps enabled by deep learning.Deep fake is a technique that people can use to make things appear to have happened in real life. Being simple to use, anyone without prior understanding of Deep Learning may create such media using numerous tools that are already on the market which may lead to misuse. In our study, we have created a questionnaire using HTML, CSS, and JavaScript, and Google Sheet. We studied this data to understand one’s ability to identify deepfake among our participants. A total 91 of 190 participants (47.89%) have responded. Our findings show that there was no significant association between educations level in identifying Deepfake while, field and awareness have a significant association.

Authors

Publication Details

Journal
Indian Journal of Computer Science and Technology
Published
2025-04-05
DOI
https://doi.org/10.59256/indjcst.20250401019
Primary Topic
Human Mobility and Location-Based Analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

A case study on Deepfake Awareness, Mumbai, India

Mohak Dwarkadhish Sharma, Abdul Nasim Nadir Shaikh
Indian Journal of Computer Science and Technology
Human Mobility and Location-Based Analysis
article

A case study on Deepfake Awareness, Mumbai, India

Mohak Dwarkadhish Sharma, Abdul Nasim Nadir Shaikh
article en

Abstract

With the rapid growth of technology in both computing hardware and algorithms, Artificial Intelligence (AI) has potential in a wide range of fields such as face and speech recognition, image analysis, virtual assistance, search engines, and many more. Deep fake is one of those recently developed apps enabled by deep learning.Deep fake is a technique that people can use to make things appear to have happened in real life. Being simple to use, anyone without prior understanding of Deep Learning may create such media using numerous tools that are already on the market which may lead to misuse. In our study, we have created a questionnaire using HTML, CSS, and JavaScript, and Google Sheet. We studied this data to understand one’s ability to identify deepfake among our participants. A total 91 of 190 participants (47.89%) have responded. Our findings show that there was no significant association between educations level in identifying Deepfake while, field and awareness have a significant association.

Indian Journal of Computer Science and Technology
Openalex Percentile: Top 92%
Human Mobility and Location-Based Analysis
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