Datum to Data: Chanakya Warned You. Cambridge Analytica Ignored Him. Now Your Mind Is the Battlefield.
This article traces the arc of data as a tool of power across human civilisation, establishing that the surveillance crisis of the digital age is not a new problem but the latest — and most comprehensive — expression of the oldest political reality: whoever controls information about people controls those people. The article proceeds from the etymology of datum (Latin: that which is given) through the modern surveillance economy (Shoshana Zuboff's surveillance capitalism framework; the $350 billion data broker industry; 4,000 data broker companies; 1,500 data points per individual profile); the sovereignty attack mechanism (Cambridge Analytica's OCEAN Big Five personality model on 87 million Facebook profiles; psychographic targeting; the slot machine variable reward mechanism of social media; cognitive bias weaponisation); the new-age fraud ecosystem built on data breaches (SIM-swap fraud, deepfake audio scams, phishing with personalised stolen data); Chanakya's intelligence architecture (Arthashastra spy classification; the three categories of secrets; the irony of the surveillance state builder warning citizens not to share secrets); the historical precedents of data as power (Roman census; British colonial cadastral surveys in India; IBM Hollerith punch cards and the Holocaust); the civilisational rather than individual nature of the problem (digital colonialism; India's DPDPA 2023); and a practical protocol for digital sovereignty derived from Chanakya's principles applied to the contemporary data environment. The governing argument: this is a human problem, not an individual one. Awareness is not enough. What is needed is understanding — of the mechanisms, the history, the stakes, and the specific disciplines that protect sovereignty in an age designed to extract it.
Authors
- Narayan Rout (ORCID: https://orcid.org/0009-0009-3505-5478)
Institutions
- ProQuest (United States) (US)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-07-17
- DOI
- https://doi.org/10.5281/zenodo.21410582
- Primary Topic
- Ethics and Social Impacts of AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00