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War in the Age of Algorithms: Gen Z and the Psychology of Continuous Conflict

Published online by Cambridge University Press:  26 October 2026

Manjeera Suvashis Das*
Affiliation:
Jyoti Dalal School of Liberal Arts, Narsee Monjee Institute of Management Studies Mukesh Patel School of Technology , India
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Abstract

War has long been a continuous reality for those forced to live through it. What may be changing today is the ease with which distant conflict enters ordinary life for those geographically removed from it. For many members of Generation Z, geopolitical tension is encountered less through formal news broadcasts than through feeds: through clips, memes, livestreams, notifications, commentary, and the repetitive logic of scrolling itself. This article argues that digital media does not create continuous war, but alters the texture through which conflict is experienced by many young people during a formative stage of life. The result is a generational condition marked by contradiction: to be highly informed yet uncertain, emotionally engaged yet exhausted, politically aware yet psychologically overwhelmed. Using moments of U.S.–Iran tension alongside broader contemporary conflicts, this essay explores how algorithmically mediated media environments shape attention, identity, and emotional life in ways that make war feel less like a distant event and more like an ambient psychological atmosphere.

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Article
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0), which permits non-commercial re-use, distribution, and reproduction in any medium, provided that no alterations are made and the original article is properly cited. The written permission of Cambridge University Press or the rights holder(s) must be obtained prior to any commercial use and/or adaptation of the article.
Copyright
© The Author(s), 2026. Published by Cambridge University Press