Populist tribalism is not merely a political mood. It is a communication environment unusually rich in signal, repetition, affect, antagonism, identity, fear, loyalty, humiliation, accusation, and recurrence. This matters because large digital platforms are not neutral carriers of public feeling. Their commercial systems depend on sustained engagement, behavioural prediction, data extraction, and increasingly fine-grained user profiling. A 2024 U.S. Federal Trade Commission report on major social media and video streaming companies described extensive surveillance, data harvesting, and monetisation practices across the sector, including the collection of large amounts of personal information from users and, in some cases, non-users (Federal Trade Commission, 2024). Research in Proceedings of the National Academy of Sciences found that out-group animosity drives engagement on social media (Rathje, Van Bavel and van der Linden, 2021), while a later algorithmic audit found that engagement-based ranking can amplify emotionally charged and out-group hostile political content (Milli et al., 2025).
Engagement-based ranking is the technical process by which platforms organise visibility according to predicted behavioural response. Instead of showing content simply by time, source, or public value, the system ranks what a user is most likely to click, watch, share, answer, revisit, or argue with. This is where the political and technical layers begin to couple. Every outrage becomes a pulse. Every factional slogan becomes a tag. Every image of a nominal adversary becomes a coordinate in the map of attention. The system does not need to believe the content. It only needs the content to move. Tribalism supplies the raw material: recurring emotional intensities, legible group boundaries, predictable aversions, symbolic triggers, and rapid feedback loops. In that sense, populist communication is not an accidental disturbance within the platform environment. It is a highly productive input stream.
The technical dimension is significant, and sinister. The structural dynamics of tribal adversarialism are not merely amplified by communication technology; they are, in at least some modest but significant regard, produced by the platform-mediated environment through which contemporary subjectivity is increasingly formed. Digital systems do not simply expose people to partisan conflict. They cocoon subjectivity inside a personalised environment increasingly organised through partisan difference. Identity is shaped less by sustained belief than by recurring opposition, as the platform learns which adversaries, humiliations, loyalties, and threats keep perception engaged.
Populist tribalism simplifies the world into friends, adversaries, betrayals, insults, threats, and sacred objects, while platform systems translate those simplifications into measurable engagement. What appears socially as confusion appears computationally as structure. What appears politically as fragmentation appears technically as segmentation. What appears morally as degradation appears commercially as yield. The result is a bleak symmetry: tribalism supplies the affective volatility through which platforms refine prediction, while platforms supply the amplification through which tribalism sustains itself. The human cost is borne as distrust, exhaustion, paranoia, and civic fragmentation. The system cost is lower. It only has to keep the signals moving.
References
Federal Trade Commission 2024, A Look Behind the Screens: Examining the Data Practices of Social Media and Video Streaming Services, Federal Trade Commission, Washington, DC.
Milli, S, Carroll, M, Wang, Y, Pandey, S, Zhao, S and Dragan, AD 2025, ‘Engagement, user satisfaction, and the amplification of divisive content on social media’, PNAS Nexus, vol. 4, no. 3, pgaf062.
Rathje, S, Van Bavel, JJ and van der Linden, S 2021, ‘Out-group animosity drives engagement on social media’, Proceedings of the National Academy of Sciences, vol. 118, no. 26, e2024292118.
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