The catch to putting warning labels on fake news
Study finds disclaimers on some false news stories make people more readily believe other false stories.
Study finds disclaimers on some false news stories make people more readily believe other false stories.
Former VP of global communications at the Ford Foundation brings 20 years of experience advancing the missions of international organizations.
Text-generating tool pinpoints and replaces specific information in sentences while retaining humanlike grammar and style.
MindHandHeart is finding new ways to encourage healthy, positive social media use.
New research reveals biases in fake news datasets and improves the use of automatic detectors.
Study analyzes how networks can distort voters’ perceptions and change election results.
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.