25 citations · 35 across the 15 of their papers we have counts for
9 papers · 1 filter
Personality pairing improves human-AI collaboration
Harang Ju, Sinan Aral
Here we examine how AI agent "personalities" interact with human personalities to shape human-AI collaboration and performance. In a large-scale, preregistered randomized experimen…
Measuring Social Media Network Effects
Sinan Aral, Seth G Benzell, Avinash Collis +1
Network effects -- the utility gains from additional consumers of a good -- are widely regarded as critical to the digital economy. Yet recent theory and evidence suggest that loca…
Are Crypto Ecosystems (De)centralizing? A Framework for Longitudinal Analysis
Harang Ju, Ehsan Valavi, Madhav Kumar +1
Blockchain technology relies on decentralization to resist faults and attacks while operating without trusted intermediaries. Although industry experts have touted decentralization…
Explaining Sustained Blockchain Decentralization with Quasi-Experiments: The Resource Flexibility of Consensus Mechanisms
Harang Ju, Madhav Kumar, Ehsan Valavi +1
Decentralization is a fundamental design element of the Web3 economy. Blockchains and distributed consensus mechanisms are touted as fault-tolerant, attack-resistant, and collusion…
Human Trust in AI Search: A Large-Scale Experiment
Haiwen Li, Sinan Aral
Large Language Models (LLMs) increasingly power generative search engines which, in turn, drive human information seeking and decision making at scale. The extent to which humans t…
Advertising Spillovers in Mobile Apps: Evidence from Ad Shutoffs and Store Rankings
Harang Ju, Michael Zhao, Sinan Aral
Using advertising campaign data from a large US-based mobile game developer, the authors study a global advertising shutoff in the context of mobile app install ads. Contrary to pr…
Collaborating with AI Agents: Field Experiments on Teamwork, Productivity, and Performance
Harang Ju, Sinan Aral
We examined the mechanisms underlying productivity and performance gains from AI agents using a large-scale experiment on Pairit, a platform we developed to study human-AI collabor…
Advancing AI Negotiations: A Large-Scale Autonomous Negotiation Competition
Michelle Vaccaro, Michael Caosun, Harang Ju +2
We conducted an International AI Negotiation Competition in which participants designed and refined prompts for AI negotiation agents. We then facilitated over 180,000 negotiations…
Teaching AI to Handle Exceptions: Supervised Fine-Tuning with Human-Aligned Judgment
Matthew DosSantos DiSorbo, Harang Ju, Sinan Aral
Large language models (LLMs), initially developed for generative AI, are now evolving into agentic AI systems, which make decisions in complex, real-world contexts. Unfortunately,…