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Tied In on TikTok: Tie Strength and Emotional Dynamics in Algorithmic Communities

arXiv:2603.2250449.5h-index: 4
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This research addresses the problem of understanding community formation on algorithm-driven platforms for social scientists and platform designers, though it is incremental as it builds on existing theories of tie strength.

The study investigated whether genuine communities form on TikTok by analyzing tie strength and emotional dynamics in eating disorder (ED) discourse, finding that greater interaction frequency correlates with more positive emotional expression, especially in ED-related conversations, and that initial interactions shape long-term emotional patterns.

Whether genuine communities can form on algorithmically-driven short-form video platforms like TikTok remains an open question, given that user interactions are often brief, dispersed, and difficult to trace. Building on theories of tie strength and online community formation, we examine whether eating disorder (ED) discourse on TikTok exhibits behavioral and emotional signatures of strong ties, including more frequent, reciprocal, and affectively intense interactions. In this paper, we analyze 43,040 ED-related TikTok videos and over 560,000 comments, alongside a Non-ED comparison dataset. We find that at the user-pair level, greater interaction frequency is associated with increasingly positive emotional expression, a pattern that is amplified in ED-related conversations. This trend is also reflected linguistically, with pairs that interact more frequently exhibiting more of a positive tone. At the same time, how a relationship starts matters: pairs that begin with positive exchanges usually stay mostly positive as they continue interacting, while pairs that begin negatively may add some positive exchanges over time but rarely become mostly positive. To contextualize these dynamics, we classify ED videos into three content types (Pro-Recovery, Pro-ED, and ED Experiences) and find that each exhibits distinct emotional interaction patterns. These findings suggest that dense, emotionally structured relationships can emerge within ED discourse on TikTok. More broadly, our work provides one of the first empirical demonstrations of how community-like relational dynamics form and persist on algorithmically driven short-form video platforms.

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The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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