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Dokyun Lee
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2020 – today
- 2024
- [j9]Gordon Burtch, Dokyun Lee, Zhichen Chen:
Generative AI Degrades Online Communities. Commun. ACM 67(3): 40-42 (2024) - [j8]Emaad Manzoor, George H. Chen, Dokyun Lee, Michael D. Smith:
Influence via Ethos: On the Persuasive Power of Reputation in Deliberation Online. Manag. Sci. 70(3): 1613-1634 (2024) - [c10]Dokyun Lee, Sangeun Seo, Chanwoo Park, Sunjun Kim, Buru Chang, Jean Y. Song:
Exploring Intervention Techniques to Alleviate Negative Emotions during Video Content Moderation Tasks as a Worker-centered Task Design. Conference on Designing Interactive Systems 2024 - 2022
- [j7]Gordon Burtch, Qinglai He, Yili Hong, Dokyun Lee:
How Do Peer Awards Motivate Creative Content? Experimental Evidence from Reddit. Manag. Sci. 68(5): 3488-3506 (2022) - [j6]Shunyuan Zhang, Dokyun Lee, Param Vir Singh, Kannan Srinivasan:
What Makes a Good Image? Airbnb Demand Analytics Leveraging Interpretable Image Features. Manag. Sci. 68(8): 5644-5666 (2022) - [j5]Dongwon Lee, Anandasivam Gopal, Dokyun Lee, Dongwook Shin:
Nudging Private Ryan: Mobile Microgiving under Economic Incentives and Audience Effects. MIS Q. 47(3): 1101-1146 (2022) - [c9]Seongkyu Mun, Dhananjaya Gowda, Jihwan Lee, Changwoo Han, Dokyun Lee, Chanwoo Kim:
Prototypical speaker-interference loss for target voice separation using non-parallel audio samples. INTERSPEECH 2022: 276-280 - 2021
- [j4]Dokyun Lee, Kartik Hosanagar:
How Do Product Attributes and Reviews Moderate the Impact of Recommender Systems Through Purchase Stages? Manag. Sci. 67(1): 524-546 (2021) - [c8]Wen Wang, Han Zhao, Dokyun Lee, George H. Chen:
Machine Learning for Consumers and Markets. KDD 2021: 4165-4166 - 2020
- [c7]Joy Lu, Dokyun Lee, Tae Wan Kim, David Danks:
Good Explanation for Algorithmic Transparency. AIES 2020: 93 - [i1]Emaad A. Manzoor, George H. Chen, Dokyun Lee, Michael D. Smith:
Influence via Ethos: On the Persuasive Power of Reputation in Deliberation Online. CoRR abs/2006.00707 (2020)
2010 – 2019
- 2019
- [j3]Dokyun Lee, Kartik Hosanagar:
How Do Recommender Systems Affect Sales Diversity? A Cross-Category Investigation via Randomized Field Experiment. Inf. Syst. Res. 30(1): 239-259 (2019) - [c6]Gordon Burtch, Qinglai He, Yili Hong, Dokyun Lee:
Peer Recognition Increases User Content Generation but Reduces Content Novelty. ICIS 2019 - 2018
- [j2]Dokyun Lee, Kartik Hosanagar, Harikesh S. Nair:
Advertising Content and Consumer Engagement on Social Media: Evidence from Facebook. Manag. Sci. 64(11): 5105-5131 (2018) - [c5]Xiao Liu, Dokyun Lee, Kannan Srinivasan:
Large Scale Cross-Category Analysis of Consumer Review Content on Sales Conversion Leveraging Deep Learning. AAAI Workshops 2018: 78-84 - 2017
- [c4]Dongwon Lee, Anand Gopal, Dokyun Lee:
Micro-Giving: On the Use of Mobile Devices and Monetary Subsidies in Charitable Giving. ICIS 2017 - 2016
- [c3]Shunyuan Zhang, Dokyun Lee, Param Vir Singh, Kannan Srinivasan:
How Much Is An Image Worth? An Empirical Analysis of Property's Image Aesthetic Quality on Demand at AirBNB. ICIS 2016 - [c2]Dokyun Lee, Kartik Hosanagar:
When do Recommender Systems Work the Best?: The Moderating Effects of Product Attributes and Consumer Reviews on Recommender Performance. WWW 2016: 85-97 - 2014
- [j1]Kartik Hosanagar, Daniel M. Fleder, Dokyun Lee, Andreas Buja:
Will the Global Village Fracture Into Tribes? Recommender Systems and Their Effects on Consumer Fragmentation. Manag. Sci. 60(4): 805-823 (2014) - [c1]Dokyun Lee, Kartik Hosanagar:
Impact of Recommender Systems on Sales Volume and Diversity. ICIS 2014
Coauthor Index
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