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Machine Learning
Plagiarism Detection Tools Offer a False Sense of Accuracy
The tools that likely brought down Harvard president Claudine Gay are improperly used on students all the time
Challenging technology to serve the public good.
Soo Oh is an editor and data journalist. Before The Markup, she was the data editor at Reveal from the Center for Investigative Reporting. She has reported stories, analyzed data, coded interactive visuals, and built internal tools at the Center for Investigative Reporting, The Wall Street Journal, Vox.com, the Los Angeles Times, and The Chronicle of Higher Education. In 2018, she was a John S. Knight Fellow at Stanford University, where she researched how to better manage and support journalists with technical skills. She currently teaches students how to code as a lecturer at UC Berkeley’s School of Journalism.
Soo uses she/her pronouns.
Machine Learning
The tools that likely brought down Harvard president Claudine Gay are improperly used on students all the time
LevelUp
We answer the questions readers asked in response to our guide to anonymizing your phone
Privacy
Here’s how to turn off “automated content recognition,” the Shazam-like software on smart TVs that tracks what you’re watching
18th-century German forest management explains why government websites make you want to pull your hair out
Still Loading
Across the rural South, about 38% of Black households don’t have home internet, a higher percentage than White people in the same region and the national average
Still Loading
Congress tasked the FCC with closing the digital divide. Here’s what the agency’s doing
News
The Markup gives a section-by-section breakdown of the summarized executive order on artificial intelligence
Hello World
Ask why crimes happen where they do
Show Your WorkPrediction: Bias
We found that Geolitica’s crime prediction algorithm had a success rate of less than 1% in Plainfield, New Jersey
Prediction: Bias
A software company sold a New Jersey police department an algorithm that was right less than 1% of the time
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