Infrastructure for Influencing

Type:
Research
Date Range:
2023
– Ongoing

Project Summary

An investigation into how users attempt to circumvent algorithmic regulation on social media sites like Instagram and TikTok. This project examines how demographic factors, motivations, methods, and mechanisms shape user experiences in these spaces.

Key Findings

①
Strategic Evasion of Algorithmic Control. Users and content creators actively develop deliberate workarounds, tactics, and linguistic adaptations (e.g., "algospeak" or subtle formatting tweaks) to evade shadowbanning, moderation filters, and feed suppression on platforms like Instagram and TikTok.
②
Demographic Disparities in Algorithmic Enforcement & Experience. A user's demographic background significantly shapes how algorithms regulate their content, influencing both the severity of algorithmic suppression they face and their specific motivations for circumvention.
③
The Rise of "Influencer Infrastructure". Circumventing algorithmic regulation has evolved from isolated user hacks into structured, shared practices and informal support networks—creating a functional infrastructure that enables creators to maintain visibility, reach audiences, and sustain digital livelihoods.

Team

Heidi Makady

Heidi Makady, PhD (University of Florida), is an Assistant Professor at the School of Journalism and Mass Communication at Texas State University.

Heather Shoenberger

Collaborators

Resources

There are no resources at this time

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