CLAug 4, 2025

Monsoon Uprising in Bangladesh: How Facebook Shaped Collective Identity

arXiv:2508.02498v14 citationsh-index: 4
Originality Synthesis-oriented
AI Analysis

It addresses how online platforms enable political mobilization and identity construction in repressive contexts, though it is incremental in applying existing qualitative methods to a new case.

This study investigated how Facebook shaped collective identity during the 2024 Monsoon Uprising in Bangladesh, finding that multimodal expressions like images, memes, and hashtags unified protesters and built solidarity to challenge authoritarian narratives.

This study investigates how Facebook shaped collective identity during the July 2024 pro-democracy uprising in Bangladesh, known as the Monsoon Uprising. During government repression, protesters turned to Facebook as a central space for resistance, where multimodal expressions, images, memes, videos, hashtags, and satirical posts played an important role in unifying participants. Using a qualitative approach, this research analyzes visual rhetoric, verbal discourse, and digital irony to reveal how shared symbols, protest art, and slogans built a sense of solidarity. Key elements included the symbolic use of red, the ironic metaphorical use of the term "Razakar", and the widespread sharing of visuals representing courage, injustice, and resistance. The findings show that the combination of visual and verbal strategies on Facebook not only mobilized public sentiment, but also built a strong collective identity that challenged authoritarian narratives. This study tries to demonstrate how online platforms can serve as powerful tools for identity construction and political mobilization in the digital age.

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