Interesting research that seems directionally true, but I wonder if this overstates the case. The sample set is people who are willing to download an Android app and share data with Stanford researchers. Those people likely have more info online than the average person.
Hey. One of the authors here. Our data set for this experiment is not the set of numbers owned by people willing to download the app, but the set of numbers that they have called and received calls from. This means that a large amount of the data set is things like spam numbers, voicemail numbers, and customer service numbers. Its not too hard to figure out that you bank with Bank X if you are receiving Two Factor Authentication texts from them, for example.
There are potential biases in the data set, but we don't think that they dramatically affect the results that we are seeing. Your mother probably receives spam phone calls and reminder texts from airlines just like I do.
The article only seems to suggest you matched names to phone numbers by googling or paying to look them up, I read nothing about meta research of putting together profiles of people based on data/sms traffic and calls they received.
A future project you guys should attack Basebands and see what kind of evil you can do because our govts are already doing it to track us
We used data collected from voluntary users' phone logs as our phone number data set. This means that if Joe called number X a few weeks ago and then decided to participate in our study, number X was in our database. We then used a couple techniques too see how well we could identify who number X belonged to.
We didn't put together actual profiles of users, though that is a possible next step. However, I think it is clear that putting together profiles of users is possible given how easy it is to identify who you are calling and receiving calls from.
