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By Tuhin Sarwar, Investigative Journalist | Media Strategist | Verified Researcher
ORCID iD: https://orcid.org/0009-0005-1651-5193

In the urban landscape of Bangladesh, digital labor platforms have institutionalized a new form of socio-economic control. This research investigates the mechanisms of Technological Rent and Algorithmic Management through a comparative case study of Uber and Pathao. Using a qualitative investigative framework, the study analyzes how algorithmic architectures dictate labor conditions and extract surplus value. By integrating Durand’s Techno-feudalism and Zuboff’s Surveillance Capitalism, the findings reveal a systemic shift toward ‘Digital Landlordism’. Despite the platform’s narrative of ‘entrepreneurial freedom’, drivers face intense surveillance and economic precarity. The paper concludes with strategic policy recommendations for human rights-based labor reforms in Bangladesh’s gig economy.

Original research articles academia.edu 

https://www.academia.edu/145980210/Digital_Landlords_and_Algorithmic_Tenants_A_Comparative_Analysis_of_Technological_Rent_and_Algorithmic_Management_in_Bangladeshs_Ride_Hailing_Sector?source=swp_share

By Tuhin Sarwar 

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Author

Tuhin Sarwar

As Editor-in-Chief of Article Insight, he conducts in-depth investigations into human rights abuses and corruption, leveraging open-source intelligence and primary-source documentation.