The Impact of Artificial Intelligence on the Future of Media Production and Consumption: A Systematic Literature Review

Mayuree Pal; C. P. Rashmi

doi:10.2478/acc-2026-0006

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The Impact of Artificial Intelligence on the Future of Media Production and Consumption: A Systematic Literature Review

ACC JOURNAL

Volume 32 (2026): Issue 3 (March 2026)

By: Mayuree Pal and C. P. Rashmi

Open Access

|May 2026

Abstract

This systematic review examines how artificial intelligence (AI) affects media production and consumption. The review analyzes 17 peer-reviewed articles from Scopus and Web of Science (WoS) databases published between 2020 and 2025. The goal is to develop an integrative framework that synthesizes the diverse impacts of AI across media production, consumption, and ethical governance. The results shed light on the fact that AI can significantly improve efficiency decreasing production time by 35%-60% and, at the same time, increase accessibility; however, the review also notes the salient issues of bias, authenticity, and informational variety. Significant conflicts arise between quality and efficiency, personalization and diversity, and, lastly, between accountability and transparency.

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Articles in this issue

DOI: https://doi.org/10.2478/acc-2026-0006 | Journal eISSN: 2571-0613 | Journal ISSN: 1803-9782

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Language: English

Page range: 79 - 93

Published on: May 12, 2026

Published by: Technical University of Liberec

In partnership with: Paradigm Publishing Services

Publication frequency: 3 issues per year

Keywords:

Content creation workflows,

Algorithmic curation,

Filter bubbles,

Generative models,

Governance frameworks,

PRISMA methodology

Related subjects:

Business and economics,

Business management,

Business management, other,

Engineering,

Mechanical engineering,

Materials engineering,

Linguistics and semiotics,

Applied linguistics,

Applied linguistics, other,

Social sciences,

Education,

Education, other

© 2026 Mayuree Pal, C. P. Rashmi, published by Technical University of Liberec
This work is licensed under the Creative Commons Attribution-NonCommercial 4.0 License.

Volume 32 (2026): Issue 3 (March 2026)