American Journal of Advanced Multidisciplinary Innovation and Research

E-ISSN: XXXX-XXXX   •   Impact Factor: -

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 7, Issue 5 (September-October 2026) Submit your research before last 3 days of October to publish your research paper in the issue of September-October.
Submit Research Paper Join as a Reviewer

Plagiarism is checked by the leading plagiarism checker TurnItIn

Call for Paper

Volume 7 Issue 5
September-October 2026

Submit your research paper

Indexing Partners
Academia Advanced Sciences Index Bielefeld Academic Search Engine CiteSeer DRJI Google Scholar Independent Search Engine & Directory Network ISI (International Scientific Indexing) Issuu Mendeley Research Networks
RefSeek ResearcherId - Thomson Reuters ResearchGate Scirus Scribd Semantic Scholar UTeM - Universiti Teknikal Malaysia Melaka Wiki for Call for Papers WorldCat Zenodo

Synthetic Media Literacy and Public Resistance to Digital Manipulation

Author(s) Dr. Elena Marquez
Country United States
Abstract The rapid development of generative artificial intelligence has altered the informational environment by making realistic synthetic images, audio, video, and text increasingly accessible to ordinary users. This transformation complicates conventional assumptions that visual or auditory evidence can be treated as inherently credible. The present study examines the potential contribution of synthetic media literacy to public resistance against digitally manipulated information. Rather than presenting fabricated field observations as empirical evidence, the study employs a transparent simulation-based design to model how different forms of literacy intervention may influence manipulation recognition, verification intention, and resistance to sharing deceptive content.
A synthetic sample of 600 adult digital-media users was divided equally among a control condition, a general media-literacy condition, and a synthetic-media-specific literacy condition. A Digital Manipulation Resistance Score was modeled from source-verification behavior, recognition accuracy, contextual reasoning, sharing restraint, and confidence calibration. The simulated results indicate that the synthetic-media-specific literacy condition produces the strongest improvement, with the mean resistance score increasing from 52.0 at baseline to 72.6 after intervention, compared with an increase from 52.4 to 63.8 for general media literacy and from 52.1 to 53.0 in the control condition. The analysis suggests that resistance to synthetic manipulation depends not merely on identifying visual anomalies but on integrating source evaluation, lateral verification, emotional self-regulation, provenance awareness, and uncertainty management. The paper therefore proposes synthetic media literacy as a multidimensional form of civic and digital resilience rather than a narrow deepfake-detection skill.
Keywords synthetic media literacy; deepfakes; digital manipulation; media literacy; misinformation resistance; generative artificial intelligence; verification behavior; public resilience
Field Engineering
Published In Volume 2, Issue 5, September-October 2021
Published On 2021-09-02
View / Download PDF File

Share this



E-ISSN XXXX-XXXX
CrossRef

CrossRef DOI prefix of AJAMIR is 10.00000/AJAMIR

Downloads
Research Paper Format Copyright Permission Form and Undertaking Form

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA Open Access

About AJAMIR
Fees & Payment
Current Issue
Publication Archive 		Submit Research Paper
Track Submission Status
Publication Guidelines
Publication Ethics
Peer Review & Plagiarism 		Join as a Reviewer
Editors & Reviewers
Reviewer Referral Program
Get Reviewer Membership Certi. 		Website/Journal Policies
Usage Policy
Content Policies
Privacy Policy
Contact Us +1-872-302-3851 editor@ajamir.com