Dokyun Lee

About

Dokyun Lee is a Kelli Questrom Associate Professor of Information Systems and Digital Business Fellow in the Questrom School of Business at Boston University. He studies the responsible application, development, and impact of artificial intelligence in e-commerce and the digital economy, with a heavy focus on the economic impact of textual data, along with content extraction, understanding, and engineering. He runs the Business Insights through Text Lab. His research has been recognized with awards such as the Information Systems Society's Gordon B. Davis Young Scholar Award and the Marketing Science Institute's (MSI) Young Scholar Award. His work has received support from organizations including Adobe, Bosch Institute, Google Cloud, MSI, McKinsey & Company, Nvidia, and Net Institute.

Research topics

• Computer Science
• Artificial Intelligence
• Machine Learning
• Business
• Mathematics
• Sociology
• Information Retrieval
• Data Mining
• Knowledge management
• Internet privacy

Selected publications

• Generative artificial intelligence, human creativity, and art

  PNAS Nexus · 2024-02-29 · 335 citations

  articleOpen accessSenior author

  Recent artificial intelligence (AI) tools have demonstrated the ability to produce outputs traditionally considered creative. One such system is text-to-image generative AI (e.g. Midjourney, Stable Diffusion, DALL-E), which automates humans' artistic execution to generate digital artworks. Utilizing a dataset of over 4 million artworks from more than 50,000 unique users, our research shows that over time, text-to-image AI significantly enhances human creative productivity by 25% and increases th…

  PublisherOA PDFDOI

• What Makes a Good Image? Airbnb Demand Analytics Leveraging Interpretable Image Features

  Management Science · 2021 · 183 citations

  We study how Airbnb property demand changed after the acquisition of verified images (taken by Airbnb’s photographers) and explore what makes a good image for an Airbnb property. Using deep learning and difference-in-difference analyses on an Airbnb panel data set spanning 7,423 properties over 16 months, we find that properties with verified images had 8.98% higher occupancy than properties without verified images (images taken by the host). To explore what constitutes a good image for an Airbn…

  PublisherDOI

• How Do Peer Awards Motivate Creative Content? Experimental Evidence from Reddit

  Management Science · 2021 · 138 citations

  Senior authorCorresponding

  We theorize peer awards’ effects on the volume and novelty of creative user-generated content (UGC) produced at online platform communities. We then test our hypotheses via a randomized field experiment on Reddit, wherein we randomly and anonymously assigned Reddit’s Gold Award to 905 users’ posts over a two-month period. We find that peer awards induced recipients to make longer, more frequent posts and that these effects were particularly pronounced among newer community members. Further, we s…

  DOI

• The consequences of generative AI for online knowledge communities

  Scientific Reports · 2024-05-06 · 58 citations

  articleOpen access

  Generative artificial intelligence technologies, especially large language models (LLMs) like ChatGPT, are revolutionizing information acquisition and content production across a variety of domains. These technologies have a significant potential to impact participation and content production in online knowledge communities. We provide initial evidence of this, analyzing data from Stack Overflow and Reddit developer communities between October 2021 and March 2023, documenting ChatGPT's influence…

  PublisherOA PDFDOI

• Demand Interactions in Sharing Economies: Evidence from a Natural Experiment Involving Airbnb and Uber/Lyft

  Journal of Marketing Research · 2021 · 31 citations

  The authors examine whether and how ride-sharing services influence the demand for home-sharing services. Their identification strategy hinges on a natural experiment in which Uber/Lyft exited Austin, Texas, in May 2016 due to local regulation. Using a 12-month longitudinal data set of 11,536 Airbnb properties, they find that Uber/Lyft's exit led to a 14% decrease in Airbnb occupancy in Austin. In response, hosts decreased the nightly rate by $9.30 and the supply by 4.5%. The authors argue that…

  PublisherDOI

Frequent coauthors

• Kartik Hosanagar

  24 shared

• Gordon Burtch

  Boston University

  15 shared

• Zhaoqi Cheng

  Boston University

  12 shared

• Shunyuan Zhang

  11 shared

• Prasanna Tambe

  University of Pennsylvania

  10 shared

• Kannan Srinivasan

  Carnegie Mellon University

  8 shared

• Dongwon Lee

  University of Hong Kong

  8 shared

• Param Vir Singh

  Film Independent

  7 shared

Education

• PhD, Operation and Information Management

  University of Pennsylvania Wharton School

  2015

• Master's, Statistics

  Yale University

  2010

• Bachelor's, Computer Science

  Columbia University

  2009

Awards & honors

• Information Systems Society's Gordon B. Davis Young Scholar…
• Marketing Science Institute's (MSI) Young Scholar Award

Similar researchers at Boston University

• Pankaj Mehtah-73
• Charles DeLisih-67
• Marshall Van Alstyneh-56