Making data visualizations more accessible

Researchers find blind and sighted readers have sharply different takes on what content is most useful to include in a chart caption.

Adam Zewe | MIT News Office • mit
Oct. 12, 2021 ~7 min

Study: Crowds can wise up to fake news

Experiment with Facebook-flagged content shows groups of laypeople reliably rate stories as effectively as fact-checkers do.

Peter Dizikes | MIT News Office • mit
Sept. 1, 2021 ~8 min


Who can bend light for cheaper internet?

ARROW, a reconfigurable fiber optics network developed at MIT, aims to take on the end of Moore’s law.

Rachel Gordon | MIT CSAIL • mit
Aug. 30, 2021 ~7 min

Social media messages from health care workers help reduce travel-related Covid-19 spread

Large-scale video campaign allowed physicians and public health messengers to encourage staying home over the 2020 holidays.

J-PAL North America • mit
Aug. 23, 2021 ~4 min

New directions in real estate practice

Professor Siqi Zheng promotes sustainable urbanization at MIT’s Center for Real Estate.

Maria Iacobo | School of Architecture and Planning • mit
July 12, 2021 ~9 min

Artificial intelligence system could help counter the spread of disinformation

Built at MIT Lincoln Laboratory, the RIO program automatically detects and analyzes social media accounts that spread disinformation across a network.

Anne McGovern | Lincoln Laboratory • mit
May 27, 2021 ~5 min

A remedy for the spread of false news?

Study: On social media, most people do care about accurate news but need reminders not to spread misinformation.

Peter Dizikes | MIT News Office • mit
March 17, 2021 ~8 min

How to reduce the environmental impact of your next virtual meeting

Study uncovers overlooked environmental impacts of internet use by estimating associated carbon, land, and water footprints.

Kelley Travers | MIT Energy Initiative • mit
March 4, 2021 ~9 min


When more Covid-19 data doesn’t equal more understanding

Social media users share charts and graphs — often with the same underlying data — to advocate opposing approaches to the pandemic.

Daniel Ackerman | MIT News Office • mit
March 4, 2021 ~9 min

Using machine learning to track the pandemic’s impact on mental health

Textual analysis of social media posts finds users’ anxiety and suicide-risk levels are rising, among other negative trends.

Anne Trafton | MIT News Office • mit
Nov. 5, 2020 ~8 min

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