Comments on: Demographic Diversity on the Web /webdemo/ Bring your own data Mon, 30 Jan 2012 15:45:28 +0000 hourly 1 https://wordpress.org/?v=6.1.1 By: Data-driven modeling / Lecture 01 /webdemo/#comment-139170 Mon, 30 Jan 2012 15:45:28 +0000 /?p=1122#comment-139170 […] in the class. Specifically, we looked at the predictive power of search activity and a study of demographic diversity on the Web, with an application to predicting user demographics from browsing activity. A few themes emerged, […]

]]> By: Rocio /webdemo/#comment-50637 Sat, 30 Apr 2011 02:55:28 +0000 /?p=1122#comment-50637 Hi,
Great article. What was the year in which you wrote this research work?

]]> By: Arduino // Zach Seward /webdemo/#comment-20338 Sun, 12 Dec 2010 22:20:08 +0000 /?p=1122#comment-20338 […] on uncategorized last month. The blog post I meant to write on vacation would have ruminated on a new study of American browsing behavior: “Comparing the homogeneity of websites to zip codes, we find […]

]]> By: Sharad Goel /webdemo/#comment-18872 Sat, 04 Dec 2010 15:54:38 +0000 /?p=1122#comment-18872 Basil: Unfortunately, the dataset we use is not publicly available. Sorry!

]]> By: Basil /webdemo/#comment-18793 Sat, 04 Dec 2010 08:59:16 +0000 /?p=1122#comment-18793 Interesting paper and overview. Is the data used in this paper public?

]]> By: Sharad Goel /webdemo/#comment-18502 Thu, 02 Dec 2010 17:12:49 +0000 /?p=1122#comment-18502 @mingyu: The demographic composition of web users is quite different from the U.S. population at large. In particular, a disproportionate percentage of Internet traffic is generated by women (65%), non-Hispanic Whites (75%), and college-educated users (75%). Nevertheless, a relatively small number of sites have audiences that are more than 90% White.

]]> By: Mingyu Guo /webdemo/#comment-18401 Wed, 01 Dec 2010 23:51:09 +0000 /?p=1122#comment-18401 Hi Sharad,

I saw your article on Daniel Reeves’ Facebook page. I am wondering how the overall demographics of internet users differ from the population (in the real world) as a whole? For example, it could be that the percentage of white internet users is higher than the percentage of white in the real world. That could explain why so many people on petfinder are white…

]]> By: Sharad Goel /webdemo/#comment-18361 Wed, 01 Dec 2010 19:09:02 +0000 /?p=1122#comment-18361 @Rob: Fig. 5 in our paper has analogous plots for race, education, income and age.

]]> By: dreeves /webdemo/#comment-18358 Wed, 01 Dec 2010 17:58:16 +0000 /?p=1122#comment-18358 See the link in the paragraph above the figure.

]]> By: robert felty /webdemo/#comment-18357 Wed, 01 Dec 2010 17:55:35 +0000 /?p=1122#comment-18357 Very interesting article. Unfortunately, the figure is too small to read. Could you link to a larger version (larger than 500px)?

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