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Prof. Sinan K Aral
David Austin Professor of Management
Professor of Information Technology and Marketing
Director, MIT Initiative on the Digital Economy (IDE)
Primary DLC
MIT Sloan School of Management
MIT Room:
E62-414
(617) 324-7535
sinana@mit.edu
https://www.sinanaral.io/
Assistant
Allie McDonough
(617) 324-6710
almcd@mit.edu
Areas of Interest and Expertise
Information Technology (IT)
Social Contagion
Product Virality and Measuring
Social Networks
Information Worker Productivity
Consumer Demand
Research Summary
Professor Aral’s ground-breaking study on the spread of fake news (The spread of true and false news online) was featured on the cover of Science in March 2018 and shared broadly across global media. His most recent research will be published in September 2020 in the forthcoming book, The Hype Machine, which describes the impact of social media on statecraft, politics, voting, business and public health – and shows us how society must adapt.
Aral is looking forward to his new assignment saying he is “excited about the opportunity to bring new ideas and enthusiasm to the IDE. I "grew up" as a PhD student in the IDE when it was the Center for Digital Business. I've known the executive staff for nearly 20 years and I am excited about IDE's next chapter and expanding its intellectual focus and Sloan footprint. There are exciting times ahead!"
Recent Work
Projects
July 26, 2016
Analytics Lab (A-Lab)
Principal Investigator
Sinan Aral
Books
Publication date:
September 15, 2020
Books
Prof. Sinan K Aral
The Hype Machine: How Social Media Disrupts Our Elections, Our Economy, and Our Health--and How We Must Adapt
Video
Sinan Aral - 2019 Vienna Conference
April 3, 2019
Conference Video
Duration: 49:8
Show more
Fake News: The End of Reality
False news is big news. Barely a day goes by without a new development about the veracity of social media, foreign meddling in U.S. elections, or questionable science. Conducted with Soroush Vosoughi and Deb Roy of the MIT Media Lab, "The Spread of True and False News Online" investigates the differential diffusion of all the verified, true and false news stories distributed on Twitter from 2006 to 2017. The data comprise approximately 126,000 stories tweeted by about 3 million people over 4.5 million times. Until this study, few large-scale empirical investigations of the diffusion of false news or its social origins had existed. Their conclusions are both surprising and alarming.
Related Faculty
Jennifer Arlene Lillich Collins
Graduate Student
Prof. Roberto Rigobon
Society of Sloan Fellows Professor of Management
Dr. Ranjan Pal
Research Scientist