An experimental platform that puts moderation in the hands of its users shows that people do evaluate posts effectively and share their assessments with others.
A new model shows that the more polarized and hyperconnected a social network is, the more likely misinformation will spread.
Researchers share progress applying network science to disinformation tracing, Covid-19 modeling, and machine learning.
Social media users share charts and graphs — often with the same underlying data — to advocate opposing approaches to the pandemic.
Expert in social data processing proposes adjusting newsfeed algorithms to better mimic real-life interactions.
Twitter experiment shows clear self-selection into social media “echo chambers” due to political preferences.
Teaching community organizers via WhatsApp yields encouraging results in South Africa, according to MIT Governance Lab research.
In a time of physical distancing, connecting socially across generations is more important than ever
MIT’s AgeLab offers ways to maintain conversations between younger and older adults.