TikTok as Platform: Algorithmic Publics and Vernacular Politics
From Networks to Clusters: Rethinking the Platform Substrate
The anchor for this cluster is Gerbaudo2026-fo’s argument that TikTok marks a generational break in social media. Where Facebook, Twitter, and early Instagram organized “networked publics” around explicit interpersonal ties — friending, following, mutual visibility — TikTok produces “clustered publics”: statistically inferred neighborhoods of users grouped by behavioral similarity, with watch time as the dominant implicit signal. The “social” in social media thus migrates from interpersonal connection to algorithmically-imputed commonality of interest. This reframing is the conceptual backdrop against which the other two papers must be read, because it specifies what is different about doing politics, identity, or influence on TikTok versus on the platforms that hosted an earlier generation of internet studies.
The implication Gerbaudo flags — depersonalization, opacity, and subcultural fragmentation — sets up a research agenda the other papers inhabit empirically. If publics on TikTok are item-centric rather than people-centric, then the relevant unit of analysis shifts from networks of speakers to the circulation of vernacular forms (sounds, memes, formats) across opaque audience clusters.
Vernacular Politics and the Symmetry of Affordances
Hollingshead2026-vx tests precisely this proposition in the domain of immigration discourse. Their finding that Canadian pro-immigration content (41%) substantially outweighs anti-immigration content (13%) is striking against the backdrop of prior X/Twitter research showing the inverse, and it can be read as evidence of how a clustered-public architecture distributes visibility differently than a network-centric one. More importantly, the study shows that users across ideological positions deploy TikTok’s affordances — sounds, humor, community hashtags — in symmetrical ways. There is a shared platform vernacular that cuts across stance, which fits Gerbaudo’s claim that what binds users together is no longer ideological friending but participation in common formats surfaced by the recommender.
This vernacular symmetry is double-edged. The same memetic toolkit underwrites pro-immigrant solidarity and racist anti-South-Asian tropes; humor in particular functions as a register that lubricates both inclusion and xenophobia, with generative AI now extending this toward speculative racist worldbuilding. Affordances, in other words, are politically promiscuous — a finding that complicates any simple narrative of TikTok as either democratizing or radicalizing.
Incivility, Humor, and the Cultural Specificity of Platform Practices
Cabbuag2024-me sharpens the humor-as-vehicle thesis through a non-Western case: the Filipino “dogshow” phenomenon, in which Gen Z influencers and their audiences collaboratively perform legal-but-harmful humor that hovers between entertainment, cyberbullying, and hate speech. Where Hollingshead documents symmetry of affordance use across ideological camps in a Western liberal-democratic context, Cabbuag shows how a culturally specific genre of incivility becomes normalized through influencer–audience co-production. The two papers converge on humor as the pivotal discursive register on TikTok, and on the platform’s affordances as actively shaping — not merely hosting — these practices.
Read alongside Gerbaudo, Cabbuag’s case illustrates the “silosociality” thesis: dogshow audiences are assigned to one another by the algorithm rather than self-selecting into a bounded community, which helps explain how a regionally specific incivility format can consolidate into a recognizable subcultural practice without the explicit community-formation rituals of older platforms.
An Emerging Arc
Taken together, the three papers trace an arc from platform theory to political discourse to influencer culture. Gerbaudo2026-fo supplies the architectural diagnosis; Hollingshead2026-vx tests its implications for contested political talk and finds that affordances travel across ideological lines; Cabbuag2024-me localizes the argument in the Global South and shows how the same affordance logics underwrite culturally specific forms of harm. Several open questions thread the cluster: how does the opacity of clustered publics affect the accountability of harmful humor? Does the apparent pro-immigration tilt on Canadian TikTok hold cross-nationally, or is it an artifact of which clusters the algorithm has chosen to amplify? And what methodological tools can capture publics whose boundaries are statistical rather than social? These are productive next moves for the topic.