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Promoting deeper learning and understanding in human networks
We investigated the spread of all of the verified news stories–verified as either true or false–distributed on Twitter from 2006 to 2017....
Open Ocean
Creating technology for social change
Media Cloud is a platform for studying media ecosystems. By tracking millions of stories published online, the system allows researchers ...
S. Vosoughi, D. Roy, S. Aral. (2018). The spread of true and false news online. Science. Vol 359, Iss 6380. Mar 09 2018.
The spread of malicious or accidental misinformation in social media, especially in time-sensitive situations, such as real-world emergen...
Reimagining human cooperation in the age of social media and artificial intelligence
Move aside, smiley faces, clapping hands and dancing ladies. Emoji are finally ready to tackle serious issues....The project may be the f...
An AI algorithm can predict which parts of a film will generate the greatest emotional responses in audiences.
Extending expression, learning, and health through innovations in musical composition, performance, and participation
The Honest Crowds project addresses shortcomings of traditional survey techniques in the modern information and big data age. Web survey ...
Frank, M. R., Cebrian, M., Pickard, G., & Rahwan, I. (2017). Validating Bayesian truth serum in large-scale online human experiments. PloS one, 12(5), e0177385.
Exploring how social networks can influence our lives in business, health, governance, and technology adoption and diffusion
Creating scalable technologies that evolve with user inventiveness
Researchers want to know what images make us feel more attached to other people. They call their project “Deep Empathy.”
There are over one million registered charities in the United States alone, and many more worldwide. How do you choose among them? M...
The Storytelling project uses machine-based analytics to identify the qualities of engaging and marketable media. By developing models wi...
Project website: shelley.ai Human-AI collaborated stories: stories.shelley.ai Follow @shelley_ai to collaborate ...
Research scientist Manuel Cebrian discusses Shelley with CNN en Español host Andrés Oppenheimer.
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.
Artificial intelligence (AI) may not be ready to write the next blockbuster movie, but a team of AI researchers from the Massachuset...
Transforming data into knowledge
How well have humans adapted to the current climate, and how will we adapt to new climate complexities?This week, the Climate Conversatio...
…We may have helped create the AI monster here in the Hub, but it turns out we’re also the ones fighting to keep it on a leash, with a Ju...
The Moral Machine is a platform for gathering a human perspective on moral decisions made by machine intelligence, such as self-driving c...
What would your city look like after a disaster? Deep Empathy is a collaboration between the Scalable Coope...
At EmTech 2017, Iyad Rahwan discusses how can we anticipate and respond to major disruptions from artificial intelligence, the web, and s...
Take control of your social feed.Gobo is a social media aggregator with filters you control. You can use Gobo to control what’s edited ou...
“Shelley” is an artificial intelligence bot who writes stories inspired by a subreddit of aspiring horror writers.
Sometimes the scariest place to be is your own mind. Or Reddit at night.Shelley is an AI program that generates the beginnings of horror ...
Shelley's artificial neural network takes turns with humans in collaborative storytelling.
With its increasingly humanlike design, artificial intelligence gives many people the creeps—though usually not intentionally. But a new ...
An artificial intelligence is creating worlds where possessed dolls and other creatures chase after frightened, helpless h...
With Shelley, the world’s first artificial intelligence-human horror story collaboration, MIT researchers aim for goosebumps.
Introducing Shelley: the world’s first AI-human horror story collaboration
Emotional content is an important part of language. There are many use cases now showing that natural language processing is becoming an ...
Understanding sarcasm could help AI fight racism, abuse, and harassment.
Designing systems that become experiences to transcend utility and usability
The CivilServant project supports online communities to run their own experiments on the effects of moderation practices on antisocial be...
FiftyNifty.org takes the hassle out of calling your lawmakers.
Mission Wildlife is a research collaboration between San Diego Zoo Global and the MIT Center for Civic Media to explore the pot...
Animated GIFs are widely used on the Internet to express emotions, but automatic analysis of their content is largel...
The Electome: Where AI Meets Political JournalismThe Electome project is a machine-driven mapping and analysis of public sphere content a...
Almaatouq, Abdullah, Erez Shmueli, Mariam Nouh, Ahmad Alabdulkareem, Vivek K. Singh, Mansour Alsaleh, Abdulrahman Alarifi, and Anas Alfaris. "If it looks like a spammer and behaves like a spammer, it must be a spammer: analysis and detection of microblogging spam accounts." International Journal of Information Security 15, no. 5 (2016): 475-491.
This is a grassroots challenge to get friends to participate in democracy by making calls to congresspeople in all 50 states. Live phone ...
Peter Krafft, Kaitlyn Zhou, Isabelle Edwards, Kate Starbird, Emma Spiro. (2017). Centralized, Parallel, and Distributed Information Processing during Collective Sensemaking. ACM CHI Conference on Human Factors in Computing Systems (CHI).
Almaatouq, Abdullah, et al. "Twitter: who gets caught? observed trends in social micro-blogging spam." Proceedings of the 2014 ACM conference on Web science. ACM, 2014.
The golden age of social media coincides with a worldwide leadership crisis, manifested by our seeming inability to address any major glo...
FlipFeed is a Google Chrome Extension that enables Twitter users to replace their own feed with that of another real Twitter user. Powere...
To gain insights into how digital technologies can make local governments more responsive and deepen citizen engagement, we are studying ...
Graeff, E. 2013. ‘What We Should Do Before the Social Bots Take Over: Online Privacy Protection and the Political Economy of Our Near Future.’ Presented at Media in Transition 8: Public Media, Private Media, MIT, Cambridge, May 5.
Many Twitter users post questions with hashtags like #twoogle or #lazyweb. Is this an effective way to find expert answers beyond one's n...
In 2009, DARPA launched the Network Challenge to explore the roles the Internet and social networking play in the timely communication, w...
Modern web presentations such as Youtube feature videos with commentary appended at the bottom. In our new imagining of Videotext, we put...
Can I borrow your network? Shout! is a marketplace for retweets that allows people to exchange micro-contracts for future retweets. Shout...
Citizens and journalists are increasingly choosing to live stream civic events. But live streams are currently hard to find and lack in-d...
People often say that we live in a small world. In a brilliant experiment, legendary social psychologist Stanley Milgram proved the six d...
Q&A: How Twitter explains the 2016 election