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The morality of preschoolers, trolleys, cookie-eating squirrels, and attempting to define “the consensus” with the Moral Machine Project.
The Storytelling project uses machine-based analytics to identify the qualities of engaging and marketable media. By developing models with…
We investigated the spread of all of the verified news stories–verified as either true or false–distributed on Twitter from 2006 to 2017.Wi…
The spread of malicious or accidental misinformation in social media, especially in time-sensitive situations, such as real-world emergenci…
Andrew Heyward has a plan for finding and identifying innovation in local TV news.
Can I borrow your network? Shout! is a marketplace for retweets that allows people to exchange micro-contracts for future retweets. Shout! …
Mission Wildlife is a research collaboration between San Diego Zoo Global and the MIT Center for Civic Media to explore the poten…
The Shelley Project studies how to produce horror stories as a result of collaboration between humans and artificial intelligence.
Plus: A big overview of all the research that we have so far.
Weather really can affect our mood—or at least the way we express our emotions on social media, according to a study published Wednesday in…
S. Vosoughi, D. Roy, S. Aral. (2018). The spread of true and false news online. Science. Vol 359, Iss 6380. Mar 09 2018.
Move aside, smiley faces, clapping hands and dancing ladies. Emoji are finally ready to tackle serious issues....The project may be the fir…
An AI algorithm can predict which parts of a film will generate the greatest emotional responses in audiences.
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.
Researchers want to know what images make us feel more attached to other people. They call their project “Deep Empathy.”
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 Massachusetts…
How well have humans adapted to the current climate, and how will we adapt to new climate complexities?This week, the Climate Conversations…
…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 Just…
What would your city look like after a disaster? Deep Empathy is a collaboration between the Scalable Coopera…
At EmTech 2017, Iyad Rahwan discusses how can we anticipate and respond to major disruptions from artificial intelligence, the web, and soc…
“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 st…
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 ro…
An artificial intelligence is creating worlds where possessed dolls and other creatures chase after frightened, helpless hum…
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
Understanding sarcasm could help AI fight racism, abuse, and harassment.
Designing systems that become experiences to transcend utility and usability
FiftyNifty.org takes the hassle out of calling your lawmakers.
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.
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 globa…
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 net…
In 2009, DARPA launched the Network Challenge to explore the roles the Internet and social networking play in the timely communication, wid…
Modern web presentations such as Youtube feature videos with commentary appended at the bottom. In our new imagining of Videotext, we put t…
Reach merges inherently local communications with user requests or offers of services. It is built atop data from services users already us…
Comm.unity is a platform that implements a wireless, device-to-device information system that bypasses the need for any centralized servers…
People often say that we live in a small world. In a brilliant experiment, legendary social psychologist Stanley Milgram proved the six deg…
Q&A: How Twitter explains the 2016 election