algorithmic performativity
Briefly

Creators on social media modify their self-presentation based on their perceived audience, using distinct "influencer accents" reflective of their niche. This ranges from the entertaining style of MrBeast aimed at younger viewers to the aesthetic language of lifestyle bloggers. Influencers face unpredictability due to algorithms that distribute content to unexpected audiences, complicating their audience design process. Unlike traditional television, where viewership is somewhat predictable, social media creators may not know how their content will spread, leading to uncertain engagement outcomes.
Creators craft their content with a target audience in mind, altering their communication style to resonate with their audience's preferences across various social media platforms.
Different influencer niches utilize unique 'accents' to capture the attention of their specific demographics, with language and aesthetics reflecting their tailored self-presentation.
Algorithm-driven distribution complicates self-presentation, leading creators to uncertain audience perceptions while maintaining an audience design strategy that accommodates broad, unpredictable engagement.
Social media content can reach unexpected audiences, leading to unpredictability in its success, contrasting with traditional television where viewership is more defined.
Read at Substack
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