personal information

How To Get Your Personal Information From Social Networks

/ Christopher Parsons / 5 Comments

Photo by Evan Long

Canadian news routinely highlights the ‘dangers’ that can be associated with social networking companies collecting and storing information about Canadian citizens. Stories and articles regularly discuss how hackers can misuse your personal information, how companies store ‘everything’ about you, and how collected data is disclosed to unscrupulous third parties. While many of these stories are accurate, insofar as they cover specific instances of harm and risky behaviour, they tend to lack an important next step; they rarely explain how Canadians can get educated on data collection, retention, and disclosure processes.

Let’s be honest: any next step has to be reasonable. Expecting Canadians to flee social media en masse and return to letter writing isn’t an acceptable (or, really, an appropriate) response. Similarly, saying “tighten your privacy controls” or “be careful what you post” are of modest value, at best; many Canadians are realizing that tightening their privacy controls does little when the companies can (and do) change their privacy settings without any notice. This post is inspired by a different next step. Rather than being inspired by fear emergent from ‘the sky is falling’ news stories, what if you were inspired by knowledge that you, yourself, gained? In what follows I walk you through how to compel social networking companies to disclose what information they have about you. In the process of filing these requests you’ll learn a lot more about being a member of these social networking services and, based on what you learn, can decide whether you want to change your involvement with particular social media companies.

I start by explaining why Canadians have a legal right to compel companies to disclose and make available the information that they retain about Canadian citizens. I then provide a template letter that you can send to social networking organizations with which you have a preexisting relationship. This template is, in effect, a tool that you can use to compel companies to disclose your personal information. After providing the template I explain the significance of some of the items contained in it. Next, I outline some of the difficulties or challenges you might have in requesting your personal information and a few ways to counteract those problems. Finally, I explain how you can complain if a company does not meet its legal obligation to provide you with a copy of your personal information. By the end of this post, you’ll have everything you need to request your personal information from the social networking services to which you subscribe. Continue reading →

Update: Feeva, Advertising, and Privacy

/ Christopher Parsons / 5 Comments

MusicBrainzServersWhen you spend a lot of time working in the areas of copyright, traffic sniffing and analysis, and the Internet’s surveillance infrastructure more generally, there is a tendency to expect bad things on a daily basis. This expectation is built up from years of horrors, and I’m rarely disappointed in my day-to-day research. Thus, when Wired reported that a company called Feeva was injecting locational information into packet headers the actions didn’t come across as surprising; privacy infringements as reported in the Wired piece are depressingly common. In response I wrote a brief post decrying the modification of packet-headers for geolocational purposes and was quoted by Jon Newton on P2Pnet on my reactions to what I understood at the time was going on.

After the post, and quotations turned up on P2Pnet, folks at Feeva quickly got ahold of me. I’ve since had a few conversations with them. It turns out that (a) there were factual inaccuracies in the Wired article; (b) Feeva isn’t the privacy-devastating monster that they came off as in the Wired article. Given my increased familiarity with the technology I wanted to better outline what their technology does and alter my earlier post’s conclusion: Feeva is employing a surprising privacy-protective advertising system. As it stands, their system is a whole lot better at limiting infringements on individuals’ privacy for advertising-related purposes than any other scalable model that I’m presently aware of.

Before I get into the post proper, however, I do want to note that I am somewhat limited in the totality of what I can speak about. I’ve spoken with both Feeva’s Chief Technology Officer, Miten Sampat, and Chief Privacy Officer, Dr. Don Lloyd Cook, and they’ve been incredibly generous in sharing both their time and corporate information. The two have been incredibly forthcoming with the technical details of the system employed and (unsurprisingly) some of this information is protected. As such, I can’t get into super-specifics (i.e. X technology uses Y protocol and Z hardware) but, while some abstractions are required, I think that I’ve managed to get across key elements of the system they’ve put in place.

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Education, Web 2.0, and Privacy

/ Christopher Parsons

I have a lot that I could talk about here, but rather than working through philosophical arguments for the value of privacy in education, I want to constrain myself to establishing some key points that educators should be mindful of when using Web 2.0 applications in the classroom. I begin by listing a series of factors that organizations should consult to determine if they are collecting personal information, and then follow by talking about the value and importance of privacy statements. I will conclude by providing a brief (and non-comprehensive) list of personal information that educators probably want to keep offline, unless their University can provide granular access to the information.

Is this information personal information?

Pretty well all Web 2.0 tools gather some kinds of data from individuals that use them, be it in the form of email addresses, Internet Protocol (IP) addresses, telephone numbers, messenger names, or social networking information. Before deploying any Web 2.0 technology it is important for organizations to determine whether they are capturing what is identified as ‘personal’ data, and can do so by reflecting on the following factors:

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