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How can social platforms protect kids from hateful speech?
Researchers analyzed 110 million YouTube comments. Their recommendation: Use algorithms to hide toxic speech, then follow up with human review.
Feb 28, 2022
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Catherine Tucker
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Catherine Tucker is the Sloan Distinguished Professor of Management and a Professor of Marketing at MIT Sloan. She is also Chair of the MIT Sloan PhD Program.
Her research interests lie in how technology allows firms to use digital data and machine learning to improve performance, and in the challenges this poses for regulation. Tucker has particular expertise in online advertising, digital health, social media, and electronic privacy. Her research studies the interface between marketing, the economics of technology, and law.
She has received an NSF CAREER Award for her work on digital privacy, the Erin Anderson Award for an Emerging Female Marketing Scholar and Mentor, the Garfield Economic Impact Award for her work on electronic medical records, the Paul E. Green Award for contributions to the practice of Marketing Research, the William F. O'Dell Award for most significant, long-term contribution to Marketing, and the INFORMS Society for Marketing Science Long Term Impact Award for long-run impact on marketing.
She is a cofounder of the MIT Cryptoeconomics Lab which studies the applications of blockchain and also a co-organizer of the Economics of Artificial Intelligence initiative sponsored by the Alfred P. Sloan Foundation. She has been a Visiting Fellow at All Souls College, Oxford. She has testified to Congress regarding her work on digital privacy and algorithms, and presented her research to the OECD and the ECJ.
Tucker is coeditor at Quantitative Marketing and Economics, associate editor at Management Science, Marketing Science, and the Journal of Marketing Research and a research associate at the National Bureau of Economic Research. She teaches MIT Sloan's course on Pricing and the EMBA course "Marketing Management for the Senior Executive." She has received the Jamieson Prize for Excellence in Teaching as well as being voted "Teacher of the Year" at MIT Sloan.
She holds a PhD in economics from Stanford University and a BA from the University of Oxford.
Honors
Tucker and Simester win AMA award
Tucker wins O’Dell Award
Tucker receives long term impact award
Catherine Tucker recognized by American Marketing Association Foundation
Publications
"Inequality, Privacy, and Digital Market Design."
Tucker, Catherine. In Fair by Design, edited by Alex Teyteboym and Scott Kominers. Forthcoming.
"How Do Restrictions on Advertising Affect Consumer Search?"
Chiou, Lesley and Catherine Tucker. Management Science Vol. 68, No. 2 (2022): 866-882. SSRN .
"The Drivers and Virality of Hate Speech Online."
Ananthakrishnan, Uttara M., and Catherine E. Tucker, MIT Sloan Working Paper 6508-21. Cambridge, MA: MIT Sloan School of Management, January 2022.
"Product Quality and Performance in the Internet Age: Evidence from Creationist-Friendly Curriculum."
Sen, Ananya and Catherine Tucker. Journal of Marketing Research Vol. 59, No. 1 (2022): 211–229.
"Trade-offs in Automating Platform Regulatory Compliance By Algorithm: Evidence from the COVID-19 Pandemic."
Cecere, Grazia, Clara Jean, Vincent Lefrere, and Catherine E. Tucker, MIT Sloan Working Paper 6510-21. Cambridge, MA: MIT Sloan School of Management, October 2021.
"Algorithmic Recommendations and Earned Media: Investigating Product Echo Chambers on YouTube."
Lambrecht, Anja, Ananya Sen, Catherine E. Tucker, and Caroline Wiertz, MIT Sloan Working Paper 6506-21. Cambridge, MA: MIT Sloan School of Management, October 2021.
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Executive Education
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Machine learning, a branch of artificial intelligence, is the science of programming computers to improve their performance by learning from data. Dramatic progress has been made in the last decade, driving machine learning into the spotlight of conversations surrounding disruptive technology. This six-week online program from the MIT Sloan School of Management and the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) aims to demystify machine learning for the business professional – offering you a firm, foundational understanding of the advantages, limitations, and scope of machine learning from a management perspective.
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