New method measures narrative polarization in online discourse

Researchers have developed a new method to measure narrative polarization in online discourse, focusing on how different interpretations of reality emerge and spread. Using a large language model based on structural narrative theory, they analyzed 212 YouTube videos and nearly 90,000 comments related to the Israeli-Palestinian conflict. The study found that while the videos presented highly polarized narratives, the comments showed less polarization, converging on shared narrative structures, though recurring motifs revealed further differences between partisan environments. AI

IMPACT Provides a new framework for analyzing online discourse and understanding the spread of polarized narratives.

RANK_REASON Academic paper detailing a new methodology for analyzing online discourse. [lever_c_demoted from research: ic=1 ai=1.0]

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