Peering under the hood of fake-news detectors
Study uncovers language patterns that AI models link to factual and false articles; underscores need for further testing.
Study uncovers language patterns that AI models link to factual and false articles; underscores need for further testing.
Study shows audience judgments can identify online misinformation.
Machine learning could help improve the accuracy of long-term forecasts, MIT climatologist argues.
Moods expressed on social media tend to decline when air pollution gets worse, study finds.
Study identifies reasons for unsettled editing disagreements and offers predictive tools that could improve deliberation.
SHASS faculty members offer research-based perspectives with commentaries, plus a Music for the Midterms playlist, and an election book list.
Machine learning system aims to determine if an information outlet is accurate or biased.
In MIT visit, former CIA and NSA director Michael Hayden describes current difficulties faced by society and U.S. intelligence services.
Study of 188 practitioners distills key recommendations about using technology to advance social justice and the public interest.
MIT Statistics and Data Science Conference highlights new approaches and varied applications.
Grad student Jonny Sun jokes on late-night TV about his alien persona and the unique challenges of working on a PhD while creating a graphic novel.
CSAIL’s “Squadbox” uses “friendsourcing” to better support targets of cyberbullying.
Lincoln Laboratory, in partnership with NATO, is modifying the system to help the region coordinate disaster response across borders.
Research project finds humans, not bots, are primarily responsible for spread of misleading information.