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From Perception to Power: Unravelling the infamous Indian voter and the dynamics of democracy

Format: Maps & Exhibits, Mapping Mondays, NID maps, RSD12, Topic: Policy & Governance

Ananaya Singh, Neil Barnabas, and Vacha Patel

In this study, we embark on a captivating journey through Indian democracy, with a special focus on the enigmatic, Infamous Indian Voter. As new voters ourselves, we were drawn to the complexities of the electoral process and the power it bestows upon individuals. Through immersive research and data collection, we unveil the remarkable realm of Indian elections—a colossal spectacle driven by technology, deeply rooted in democracy, and guarded by a constitutional body. However, the true essence lies in the mysterious nature of the Indian voter. Known for their unpredictability, these voters defy conventional norms and prioritise factors beyond economic growth. Our aim is to decode their perspectives, motivations, and the immense influence they hold in shaping the nation’s future. Through qualitative and quantitative research methods, we explore the intricate tapestry of Indian democracy, interweaving the complexities of logistics, media, campaigns, ideologies, transparency, and more. The gigamap provides a comprehensive view of the interplay between leadership, governance, and the indomitable spirit of the Indian voter. By understanding the power of perception and acknowledging the volatile nature of voter behaviour, we unlock the potential to fortify the democratic framework and build a more inclusive society where every voice finds its place.

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Citation Data

Author(s): Ananaya Singh, Neil Barnabas, and Vacha Patel
Year: 2023
Title: From Perception to Power: Unravelling the infamous Indian voter and the dynamics of democracy
Published in: Proceedings of Relating Systems Thinking and Design
Volume: RSD12
Article No.: pre-release
URL: https://rsdsymposium.org/indian-voter
Host: Georgetown University
Location: ONLINE
Symposium Dates: February 26–May 6, 2024
First published: 30 December 2023
Last update: February 01, 2024
Publisher Identification: ISSN 2371-8404
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