Attribution 4.0 International
Maggie Hughes is a student in the MIT Center for Constructive Communication, and Tara Boroushaki is a student in the Signal Kinetics group.
A new model shows that the more polarized and hyperconnected a social network is, the more likely misinformation will spread.
May 27, 2021
The Commission's members are drawn from government, research and academia, civil society, public service, and private industry.
Language analysis reveals possible reinforcement of race- and income-based achievement gap.
The cross-campus effort will design human-machine systems that improve communication across divides.
Robots would be much more helpful if they spoke our language.
We are proud to welcome Community + Ethics to the MIT Media Lab! As you may recall, Community + Ethics joined the Media Lab.
Hadley’s eyes glazed over as she stared at the text and equations in front of her. She dropped her head into her hands and thought out loud,
Deb Roy talks to Delaware Public Media about social media, the spread of misinformation, trolling and abuse, content moderation, and more.
October 1, 2020
MIT has developed an extension that allows knowing the emotional impact caused by the content that everyone creates and consumes on Twitter.
2018 marks the second cohort of the LEGO Papert Fellowship program, which honors the legacy of educational-technology pioneer Seymour Papert
The Media Lab community brings creativity, expertise, and research to the pandemic
US elections have become more “unstable,” sometimes swinging in the opposite direction from the greater electorate’s preferences.
Political science doctoral student Clara Vandeweerdt studies how identity shapes beliefs on complex political topics such as climate change.
But research shows online polarization isn’t as clear-cut as people think.
Revisit Human 2.0, a 2007 Media Lab symposium focused on the future of human adaptability.
McKinsey & Co. and LSM ask: Can we understand, and even predict, the relationship between video story content and audience consumption?
Andrew Heyward has a plan for finding and identifying innovation in local TV news.
Read the full story online.
An AI algorithm can predict which parts of a film will generate the greatest emotional responses in audiences.
Plus: A big overview of all the research that we have so far.
The spread of misinformation on social media is an alarming phenomenon that scientists have yet to fully understand. While the data show th…
Artificial intelligence (AI) may not be ready to write the next blockbuster movie, but a team of AI researchers from the Massachusetts…
Helping readers slow down, ask questions, and find reasoned opposing views may foster civil discourse online
Education, Technology, Equity: Nichole Pinkard and Deb Roy in conversation with J. Philipp Schmidt.
New research can predict how plots, images, and music affect your emotions while watching a movie.
Computers don’t cry during sad stories, but they can tell when we will.
At EmTech 2017, Deb Roy discusses how insights gained from big data and machine learning can help us monitor the social impact of new techn…
The Electome: Where political journalism meets AIBuilt at the Laboratory for Social Machines (LSM) with support from Twitter and Knight Fou…
Tracking the issues Americans did (and didn’t) talk about in the 2016 election...
As the media class struggles to understand an election result few foresaw, some have blamed a quirk of modern technology.
When Donald Trump swept to victory in the Electoral College on Nov. 8, perhaps no group was more surprised than journalists, who had largel…
In case you hadn’t noticed, early voting is a thing this year. It’s been underway in some states for weeks ahead of Election Day. And like …