GIFGIF, a project by graduate students Kevin Hu and Travis Rich, maps human emotions by asking people to select which GIFS best represent a specific feeling, reports Jon Christian for Wired. Hu and Rich hope that all of the data collected through GIFGIF “will make it easier to write programs that deal with emotional content.”
A new study by MIT scientists has found that metadata provides enough information to identify consumers in anonymous data sets. Aviva Rutkin writes for New Scientist that “for 90 per cent of people, just four pieces of information about where they had gone on what day was enough to pick out which card record was theirs.”
In this video, Robert Lee Hotz of The Wall Street Journal discusses how MIT researchers have found that individuals in an anonymous data set can be identified using just a few pieces of information about their shopping habits. “We're really being shadowed by our credit cards,” Lee Hotz explains.
A new MIT study examining anonymous credit card data shows that individuals can be identified using just a few pieces of information, writes Wall Street Journal reporter Robert Lee Hotz. “This touches on the fundamental limit of anonymizing data,” explains Yves-Alexandre de Montjoye.
In a piece for Scientific American, Larry Greenemeier writes about new MIT research showing how easy it is to identify individuals in anonymous data sets. “We have to think harder and reform how we approach data protection and go beyond anonymity, which is very difficult to achieve given the trail of information we all leave digitally,” says Yves-Alexandre de Montjoye.
MIT researchers were able to accurately identify individuals in an anonymous data set by looking at the date and location of four credit card transactions, reports Boer Deng for Nature. “Even when researchers only had estimates of time and location of a purchase to within a few days or neighbo[u]rhood blocks, they could still identify cardholders,” explains Deng.
Rebecca Jacobson writes for the PBS NewsHour about how MIT researchers have found that individuals in anonymous data sets can be identified using just a few pieces of outside information. The researchers found that there is a “94 percent chance of tracking all of your purchases with three pieces of extra information.”
Seth Borenstein and Jack Gillum write for the Associated Press about how MIT researchers have found individuals can be identified by examining a few purchases from anonymous credit card data. "We are showing that the privacy we are told that we have isn't real," explains Pentland.
MIT researchers have found that anonymous individuals in a data set can be identified using a few pieces of information, reports Natasha Singer for The New York Times. “We ought to rethink and reformulate the way we think about data protection,” explains Yves-Alexandre de Montjoye.
Jonathan O’Connell writes for The Washington Post about 10 interactive maps of Washington, D.C. created by Professor Sep Kamvar that illustrate how people live, work, eat, and travel within the District. The visualizations are part of Kamvar’s “You Are Here” series that mapped 100 cities using publicly available data.
Led by Professor Eric Alm, a team of researchers plans to analyze sewage in Cambridge to screen for data on disease and drug use, reports Michael Fitzgerald for The Boston Globe. “Sewage is really an unexploited source of rich information about human activities,” says Alm.
Kyle Vanhemert writes for Wired about a talk by graduate student Greg Borenstein on the future of camera technology. “The gist of Borenstein’s talk: Cheap cameras are getting better and better, and researchers are finding more and more to do with them,” writes Vanhemert.
Robert Lane Greene writes for The Economist about a new paper by MIT researchers, which examines the importance of specific languages by studying how languages are connected to one another. The researchers found that for many languages “their connectivity has little to do with their home country’s modern power.”
Graduate student Kevin Lu speaks with Heidi Legg of BetaBoston about his work transforming the way that we consume information. “We want to democratize data visualization so that anyone with data can map an image that explains things,” says Hu.
Sanjay Salomon writes for Boston.com about the MIT Media Lab’s “You Are Here” project, highlighting the maps researchers have produced exhibiting transportation options for 100 cities. “According to the project’s map of Cambridge, public transportation seems to fall short for most of the city,” writes Salomon.