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A former Seattle Post-Intelligencer reporter, now writing for Paid Content, seems to take some glee in reporting that traffic to the Seattle P-I's website is off 20% since the decision to lay off most of the staff and go web only. But, actually, it seems like a pretty good result. Editorial staff was cut by 80% down to just 20 people. Support staff is basically gone entirely. And then all the printing and delivery expenses are gone as well. To basically cut all that expense and still retain 80% of the traffic? That seems phenomenal. If anything, it validates the decision.Permalink | Comments | Email This Story
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We've pointed out time and time again that there's really no such thing as an anonymized dataset. Given the data, it's almost always easy enough to at least connect some of it back to a real person. It looks like there's now some research to support that. Steven Hoy points us to a new paper where some researchers wrote an algorithm that takes anonymized data from social networks and connects it back to names and addresses of individuals: We present a framework for analyzing privacy and anonymity in social networks and develop a new re-identification algorithm targeting anonymized social-network graphs. To demonstrate its effectiveness on real-world networks, we show that a third of the users who can be verified to have accounts on both Twitter, a popular microblogging service, and Flickr, an online photo-sharing site, can be re-identified in the anonymous Twitter graph with only a 12% error rate. Basically, the researchers are saying that anonymized data isn't really anonymous -- and social networks that insist they're "safe" because they've anonymized the data are being somewhat disingenuous.Permalink | Comments | Email This Story
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