A Qualitative Study of How AI Influences Subconscious Decision-Making in Digital Nudges Across Social Media Platforms

AI-curated digital nudges on social media platforms subtly influence user decisions, frequently bypassing conscious awareness. This qualitative study analyzes publicly available user generated content on Reddit, YouTube, TikTok, and Instagram to explore how AI-driven suggestions shape subconscious decision making through emotional and identity-based cues. Thematic and discourse analyses identify key emotional triggers such as FOMO and belonging, shedding light on users’ rationalizations of AI influence. Digital ethnography maps complex recommendation pathways illustrating cascading AI nudges. This research informs AI ethics, regulatory transparency debates, and platform design to mitigate covert manipulations while enhancing digital well being. The study contributes to the growing body of literature on algorithmic influence by providing empirical insights from user narratives, highlighting the need for greater transparency in AI systems. By examining real-world user experiences, it underscores the potential risks of subconscious manipulation and proposes practical recommendations for stakeholders.

Authors

Publication Details

Journal
International Journal of Research and Innovation in Social Science
Published
2025-10-07
DOI
https://doi.org/10.47772/ijriss.2025.909000239
Primary Topic
Impact of AI and Big Data on Business and Society
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Qualitative Study of How AI Influences Subconscious Decision-Making in Digital Nudges Across Social Media Platforms

N. A. Karim, Engr. Rajib Mazumder
International Journal of Research and Innovation in Social Science
Impact of AI and Big Data on Business and Society
article

A Qualitative Study of How AI Influences Subconscious Decision-Making in Digital Nudges Across Social Media Platforms

N. A. Karim, Engr. Rajib Mazumder
article en

Abstract

AI-curated digital nudges on social media platforms subtly influence user decisions, frequently bypassing conscious awareness. This qualitative study analyzes publicly available user generated content on Reddit, YouTube, TikTok, and Instagram to explore how AI-driven suggestions shape subconscious decision making through emotional and identity-based cues. Thematic and discourse analyses identify key emotional triggers such as FOMO and belonging, shedding light on users’ rationalizations of AI influence. Digital ethnography maps complex recommendation pathways illustrating cascading AI nudges. This research informs AI ethics, regulatory transparency debates, and platform design to mitigate covert manipulations while enhancing digital well being. The study contributes to the growing body of literature on algorithmic influence by providing empirical insights from user narratives, highlighting the need for greater transparency in AI systems. By examining real-world user experiences, it underscores the potential risks of subconscious manipulation and proposes practical recommendations for stakeholders.

International Journal of Research and Innovation in Social Science
Openalex Percentile: Top 67%
Impact of AI and Big Data on Business and Society
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.