Data Mining

What to Make of the TrapWire Story

By Jay Stanley, Senior Policy Analyst, ACLU Speech, Privacy and Technology Project at 4:34pm

Some of the Wikileaks-fueled swirl of stories about the TrapWire program appear to have been overhyped, as my colleague Kade Crockford of the ACLU of Massachusetts noted in her excellent roundup of the story yesterday. Others writing about the program have followed suit.

Big Data: NSA, Facebook—and My University?

By Bennett Stein, ACLU Speech, Privacy and Technology Project at 12:51pm

On Sunday, the New York Times published an extensive piece surveying the ways American universities are using their access to students’ information to tailor their college experiences. Universities collect a huge amount of data on their students—course selection and grades, past educational experience and standardized test scores, and other personal information. Austin Peay University analyzes a student’s data and suggests classes in which the student is likely to “succeed.” Arizona State University uses its data to identify students who are “off track” based on course selection and course results. ASU is also experimenting with using information on student swipes of ID cards around campus—at the gym, at the dining hall, at the dorm, at the library, etc.—to understand social ties. (Last week, my colleague Catherine Crump also wrote about universities experimenting with monitoring students’ internet usage to assess mental health.)

The Potential Chilling Effects of Big Data

By Jay Stanley, Senior Policy Analyst, ACLU Speech, Privacy and Technology Project at 11:46am

Last week I posted about “Big Data” and how it is being used to discover new facts about people, to sift and sort them based on subtle patterns, to flag them as “risks” in this field or that, to predict their behavior, and to manipulate them for maximum profit.

Of course, humans are not sheep, and we don’t sit still when things like this happen to us. We perceive what is happening, and we change our behavior in response. We react. The effects of Big Data on privacy and society will be a game of three-dimensional chess, not checkers.

Step One in Data-Mining America: Build a Big Database

By Alexander Abdo, Staff Attorney, ACLU National Security Project at 5:14pm

A few days ago, we highlighted the drastic privacy implications of new guidelines issued to govern data-mining by the National Counterterrorism Center (“NCTC”). Yesterday, we testified to Congress about the problems with the guidelines, and we filed three Freedom of Information Act (“FOIA”) requests to learn more about how the guidelines will affect the privacy of millions of Americans.

Privacy, Computers, and Consequences (Computers vs. Humans Part 2)

By Jay Stanley, Senior Policy Analyst, ACLU Speech, Privacy and Technology Project at 1:09pm

In a post yesterday I discussed the belief that as long as our behavior and communications are only scrutinized by a computer, our privacy has not been invaded. Many people have that sense because computers are so much dumber than human beings.

Monitoring Internet Usage Patterns Has Privacy Implications Too

By Catherine Crump, Staff Attorney, ACLU Speech, Privacy and Technology Project at 4:34pm

The New York Times Sunday Review included a striking op ed suggesting that universities could one day deploy software to analyze students’ internet usage for the purpose of assessing their mental health. The writers, Sriram Chellappan and Raghavendra Kotikalapudi, support their argument by explaining that they conducted a study on university students that demonstrated a correlation between depression and certain patterns of internet usage (for example, “very high e-mail usage”). The study involved screening 216 students at Missouri University of Science and Technology for depression and then having “the university’s information technology department provide us with campus Internet usage data for our participants . . . . This didn’t mean snooping on what the students were looking at or whom they were e-mailing; it merely meant monitoring how they were using the Internet” (so, for example, if they were surfing the web, checking email, using p2p programs, etc.).

Data Mining License Plate Records

By Jay Stanley, Senior Policy Analyst, ACLU Speech, Privacy and Technology Project at 11:09am

On Friday I posted about an ongoing effort by the DEA to put automatic license plate reading (ALPR) devices on public interstates, where they will sweep up records of Americans’ travel and store it for two years. The agency is now pushing to deploy them in Utah and has already done so in states along the southern U.S. border.

Big Data: Revolution or Overhyped Fad?

By Jay Stanley, Senior Policy Analyst, ACLU Speech, Privacy and Technology Project at 8:43am

In a prior post I alluded to the fact that the buzzword “Big Data” is just a new term for “data mining.” The potential for big data analytics to discover new things about us is frightening from a privacy perspective, as I discussed. But, it can also be—let’s be honest—very cool.

Senate Homeland Security Committee Misses the Mark with Statement on DHS “Fusion Center” Program

By Kara Dansky, Senior Counsel, ACLU Center for Justice at 2:35pm

Last week, the Senate Homeland Security Committee’s Subcommittee on Investigations issued a report criticizing the Department of Homeland Security for its failure to ensure proper oversight over state and local “fusion centers.”  Shortly thereafter, the committee issued a statement denouncing the report and lauding fusion centers as playing a “significant role in many recent terrorism cases.”

Friday Links Roundup

By Jay Stanley, Senior Policy Analyst, ACLU Speech, Privacy and Technology Project at 3:30pm

The New York Times and Propublica jointly published an editorial last week entitled, “That’s Not My Phone, It’s My Tracker.” The authors review the sorry state of cell phone location privacy, raise and dismiss privacy-protecting options such as regularly removing the battery, or living without a phone, and conclude that what we should fight back linguistically at least, by calling these devices “trackers” rather than phones.

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