Chasing luck: Data-driven prediction, faith, hunch, and cultural norms in rural beting practices

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Abstract

HCI research predominantly uses scientifc rationality to explain users' behaviors, decisions, and interactions with statistical models based and data-driven systems. However, such interactions are often more diverse in real life, and may straddle beyond scientifc and economic rationality. Building on a ten-month ethnography at seven Bangladeshi villages, we explore the social and cultural factors that infuence the online betting practices among the villagers. We describe how bets harmonize with users' faith, hunch, and cultural practices, along with statistical recommendations. Drawing on a rich body of social science work on gambling, we contribute to the HCI scholarship in rationality, justifcation, and postcolonial computing. Finally, we present such betting as an under-appreciated site for HCI that contradicts with the ideological hegemony of statistical rationality, and recommend a smooth integration of AI system with the other rationalities of the Global South.

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Sultana, S., Mozumder, M. H., & Ahmed, S. I. (2021). Chasing luck: Data-driven prediction, faith, hunch, and cultural norms in rural beting practices. In Conference on Human Factors in Computing Systems - Proceedings. Association for Computing Machinery. https://doi.org/10.1145/3411764.3445047

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