by Reham Hosny and Mohamed A. Nasef
Hosny, R., & Nasef, M. A. (2025). Lexical algorithmic resistance: Tactics of deceiving Arabic content moderation algorithms on Facebook. Big Data & Society, 12(2). https://doi.org/10.1177/20539517251318277 (Original work published 2025)
Our research reveals a fascinating and urgent phenomenon we call lexical algorithmic resistance—a form of digital micro-resistance where users alter their language to bypass automated censorship. From breaking up words into syllables to using unpainted Arabic script, these subtle acts defy AI’s watchful eye while preserving activist messages.
By scraping Facebook data, we mapped out the most common resistance keywords and strategies across Arab regions. We also examined the sociopolitical contexts that shape these tactics. The result is a deeper understanding of how digital repression operates—and how ordinary users resist it with extraordinary creativity.
In a world where platforms wield imperial control over political discourse, language becomes a battleground. This study isn’t just about censorship—it’s about reclaiming agency. It highlights how technology, while often oppressive, can also be bent toward resistance.
Ultimately, we hope readers will come away with a renewed appreciation for the quiet ingenuity of digital activism—and the importance of safeguarding voices that fight to be heard.