Behavioral Economics
An annotated collection of 3 papers on behavioral economics, spanning 2025 to 2026. Featuring works by D. Acemoglu, Chang Liu, Shreyan Biswas — each with editorial commentary oriented to digital product practice.
When Big Data Enables Behavioral Manipulation
Acemoglu and co-authors build a formal model of something practitioners intuit but rarely see rigorously: platforms do not merely recommend products, they learn which product attributes deceive users most efficiently and…
Behavioral Indicators of Overreliance During Interaction with Conversational Language Models
The paper tackles a foundational problem for product directors working with AI: how do you know when users are trusting the system too much? Traditional metrics miss the behavioral patterns that emerge during interaction…
Belief Updating and Delegation in Multi-Task Human–AI Interaction: Evidence from Controlled Simulations
This paper addresses a fundamental challenge for product directors building AI-powered products: how do users develop trust and delegation strategies when the same AI system performs differently across different tasks? T…