Algorithmic Bias in Activism: How Social Media Shapes Crisis Movements in South Asia
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Student Authors
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Abstract
In recent times, social media functions as a crucial platform as crisis-driven activism relies strongly on social media to spread information and organize movements. While different platforms on social media provide spaces for participation, the algorithms working behind them often decide which voices are to be highlighted and which are to be ignored. This study investigates how algorithmic bias affects crisis-driven activism in South Asian countries like Sri Lanka, India and Bangladesh. Digital movements in this region play a significant role in political, social, and humanitarian contexts. To understand people’s perspectives, a survey was conducted using Google Forms to collect primary data from participants. The survey explores how individuals engage with activism related content and how algorithmic filtering shapes their perception of movements. To ensure clarity and reliability, the survey was reviewed and tested by multiple faculty members and senior students before distribution. Preliminary insights show that algorithms tend to favor content with high engagement or sensational content, which may distort activist messaging and reduce the visibility of marginalized perspectives. The research shows how algorithms can both help and hinder digital activism. The findings emphasize the need for greater transparency to make sure activism in South Asia stays fair, inclusive and impactful during difficult times.
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Publication Details
- Type of Publication:
- Conference Name: International Conference on Challenges and Trends in Arts and Social Sciences (ICCTASS 2025)
- Date of Conference: 12/11/2025 - 12/11/2025
- Organizer: Faculty of Arts and Social Sciences, American International University-Bangladesh.