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Published September 30, 2026 | Version v1
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Next-Gen Intelligence: Media, Digital Marketing and AI

Authors/Creators

  • 1. Assistant Professor, Department of Journalism & Mass Communication, Jagannath University, NCR

Contributors

  • 1. Associate Professor, Department of Journalism & Mass Communication, Jagannath University, NCR

Description

Next-Gen Intelligence: Media, Digital Marketing and AI is an interdisciplinary edited volume examining the rapidly changing relationship between artificial intelligence, media, communication, digital marketing, education, business, governance, and society. Bringing together diverse scholarly and conceptual perspectives, the book explores AI-enabled journalism, citizen journalism, agentic AI, photography, deepfakes, misinformation, digital literacy, journalism education, scholarly communication, EdTech, consumer behaviour, personalisation, branding, and strategic business transformation. It also addresses ethical and governance concerns including algorithmic bias, privacy, transparency, accountability, human oversight, credibility, digital inclusion, and responsible AI adoption. Several chapters focus on the Indian context, including digital governance, political mobilisation, pluralistic news environments, education, and emerging business practices. Collectively, the volume presents AI not merely as a technological tool but as a transformative force influencing professional practices, institutions, markets, and everyday digital culture. It offers researchers, educators, students, media professionals, managers, and policymakers a broad perspective on opportunities, challenges, and responsible pathways for navigating the next generation of intelligent digital ecosystems.

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Additional details

Identifiers

ISBN
978-81-18-05471-9
ISBN
978-81-18-05470-2

Related works

Is original form of
Book: 978-81-18-05470-2 (ISBN)
Book: 978-81-18-05471-9 (ISBN)

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Repository URL
https://publication.researchcollab.in/500
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Active

References

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  • Floridi, L., & Chiriatti, M. (2020). GPT-3: Its nature, scope, limits, and consequences. Minds and Machines, 30, 681–694. https://doi.org/10.1007/s11023-020-09548-1
  • Gillespie, T. (2014). The relevance of algorithms. In T. Gillespie, P. J. Boczkowski, & K. A. Foot (Eds.), Media Technologies: Essays on Communication, Materiality, and Society (pp. 167–194). MIT Press.
  • Kaplan, A., & Haenlein, M. (2019). Siri, Siri, in my hand: Who's the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence. Business Horizons, 62(1), 15–25. https://doi.org/10.1016/j.bushor.2018.08.004
  • Kietzmann, J., Paschen, J., & Treen, E. (2018). Artificial intelligence in advertising: How marketers can leverage artificial intelligence along the consumer journey. Journal of Advertising Research, 58(3), 263–267. https://doi.org/10.2501/JAR-2018-035
  • Marconi, F. (2020). Newsmakers: Artificial Intelligence and the Future of Journalism. Columbia University Press.
  • McStay, A. (2018). Emotional AI: The Rise of Empathic Media. SAGE Publications.
  • Newman, N., Fletcher, R., Robertson, C. T., Ross Arguedas, A., & Nielsen, R. K. (2024). Reuters Institute Digital News Report 2024. Reuters Institute for the Study of Journalism, University of Oxford. https://reutersinstitute.politics.ox.ac.uk/digital-news-report/2024
  • Russell, S., & Norvig, P. (2021). Artificial Intelligence: A Modern Approach (4th ed.). Pearson.
  • UNESCO. (2021). Recommendation on the Ethics of Artificial Intelligence. United Nations Educational, Scientific and Cultural Organization. https://unesdoc.unesco.org/ark:/48223/pf0000381137
  • UNESCO. (2023). Guidelines for the Governance of Digital Platforms: Safeguarding Freedom of Expression and Access to Information through a Multi-Stakeholder Approach. United Nations Educational, Scientific and Cultural Organization. https://www.unesco.org/en/internet-trust/guidelines
  • Verma, S., & Bhattacharyya, S. S. (2017). Perceived strategic value-based adoption of Big Data Analytics in emerging economy: A qualitative approach for Indian firms. Journal of Enterprise Information Management, 30(3), 354–382. https://doi.org/10.1108/JEIM-10-2015-0099
  • Wolters, P. (2019). Artificial intelligence and the future of digital marketing. In relevant research on AI-enabled marketing and consumer engagement.