#data-tracking

[cyber-sec]

Massive Chrome Extension Scam Turns Browsers into Fake Traffic Machines

A network of 152 Chrome extensions secretly forged Google search traffic, logging user activity and disguising visits as organic clicks.

Source: Socket

Read more: CyberSecBrief

[core]

Interesting: Me, My Quantified Self, and I

Kevin Nguyen, from The BYGONE BUREAU, writes:

“The quantified self” is a technocratic movement that encourages self-tracking data. Broadly, the quantified self could mean acquiring data on everything — one’s environment, health, and activities. Usually, it means people tracking their daily step-count on a Fitbit.

Reporter is a new app that takes the notion of the quantified self, crosses it with journaling, and dresses it in bold colors and nice typography. It pings you at random points throughout the day to ask you questions about what you’re doing, who you’re with, and where you are. Default questions include “Are you working right now?” and “How did you sleep?” The goal of Reporter is to measure how you spend your day and to identify long-term patterns in your behavior. In an interview with The Verge, Drew Breunig, a developer behind Reporter, believes the data will be instructive, since it highlights aspects of your life you might not regularly contemplate: “I want you to be scared by your routine, or by decisions you haven’t thought about because you don’t want to face them.”

Having used the app for a couple weeks, nothing about my routine really scared me. Outside of the app’s pleasant visual aesthetic, there was little else of interest. Brendan O’Connor listed his gripes at The Daily Dot (most of which I agree with), namely that the sorts of data Reporter collects is tedious. He writes, “The aspects of our lives that make us who we are — the people we love and the people who love us, our passions and obsessions, our flaws and our work and our deepest, darkest secrets — clearly surpass the imagination of apps like Reporter. What dull lives we would lead if these (‘How many cups of coffee did you have today?’) were the most important questions we could ask ourselves.”

Though the defaults certainly don’t encourage creativity, one could argue that Reporter is only as unimaginative as its user, since it allows you to customize the questions. I added two queries of my own: “Are you reading or writing?” and “Did you exercise today?”

On one hand, I’m identifying what parts of my life are important to me. I like the idea that I’m someone who writes and works out regularly enough to track it. On the other hand, by deciding to quantify these things about myself specifically, I am creating an identity for my most idealized self. I collect this data because it’s how I want to construct the narrative of my life.

Most of the buzz around Reporter comes from the app’s proprietor, Nicholas Felton, a former designer at Facebook who conceived the Timeline and the Open Graph. Felton has also been an early proponent of the quantified self, releasing annual reports on his life since 2005 (though it seems the attention they receive has more to do with how nicely they are designed rather than what data is represented).

Before being acquired by Facebook, Felton created a service called Daytum, self-described as “an elegant and intuitive tool for counting and communicating personal statistics.” Felton’s Daytum profile is used as an example of a “personal dashboard.” It displays the number of miles he ran, cities he’d vacationed to, and celebrities he’d sighted. What we’re supposed to take from his profile is that Nicholas Felton is a runner, a jetsetter, a person who regularly spots Terry Richardson. But this is the information he chooses to display about himself; the data he collects projects the type of person he wants us to see.

Recall David Hume’s bundle theory of the self from your college Intro to Philosophy class. Hume argued that despite the fact that our experiences, feelings, and memories appear connected, there’s no evidence that they are more than a bundle of perceptions. For that reason, the “self” doesn’t exist. What exactly is the quantified self, then, if anything? We can convince ourselves that all the data points we collect in an app like Reporter add up to something when in reality they don’t — though we might try to convince ourselves and others, with elegant fonts and colorful charts, that they do.

[mobile-matters]

Collaborating to beat Do Not Track

Over the past year, major reports in both Europe and the US have identified the complex nature of the mobile industry. The fragmented landscape makes it difficult to know where's best to assign responsibility for informing mobile users on privacy. In both of these reports, it was recommended that all parties should be held accountable to some extent.

In the US, the FTC released a report that suggested Operating Systems and Ad Networks should consider working together to create a Do Not Track system. As a result, the independent body W3C began talks with various parties to put this in place. However, after only a matter of months, the spectacularly named Senator Jay Rockefeller issued a bill allowing the FTC to force through legislation on this subject. The impatience of senior figures, signalled by the support Rockefeller received, indicates the calls for a universal Do Not Track solution are growing rapidly.

With this in mind, surely it would be to the benefit of all parties within Mobile to take any measures to avoid further publicity for DNT options. The potential value of user data for advertising extends far beyond the functionality it offers those same users in Apps, with the ultimate aim being to tailor suitable ad experiences for individuals.

While it seems hard to stop the wheels that are already in motion for Do Not Track, an adoption of a more collaborative approach within the industry could help maintain a base of willing consumers to fuel the revenue generated through advertising. If Platforms, Publishers, Developers and Advertisers worked together to take responsibility, then the likelihood that Smartphone users will switch on Do Not Track would no doubt be lower.

Through adoption of standardised procedure (eg. universal symbols where sensitive data is being collected, clear privacy policies which follow the same structure, etc), as well as simplification of the data collection process, the added clarity and general education for users could help cast light on the supposedly shady subject of Mobile tracking.