ABSTRACT
After years of speculation, price discrimination in e-commerce driven by the personal information that users leave (involuntarily) online, has started attracting the attention of privacy researchers, regulators, and the press. In our previous work we demonstrated instances of products whose prices varied online depending on the location and the characteristics of prospective online buyers. In an effort to scale up our study we have turned to crowd-sourcing. Using a browser extension we have collected the prices obtained by an initial set of 340 test users as they surf the web for products of their interest. This initial dataset has permitted us to identify a set of online stores where price variation is more pronounced. We have focused on this subset, and performed a systematic crawl of their products and logged the prices obtained from different vantage points and browser configurations. By analyzing this dataset we see that there exist several retailers that return prices for the same product that vary by 10%-30% whereas there also exist isolated cases that may vary up to a multiplicative factor, e.g., x2. To the best of our efforts we could not attribute the observed price gaps to currency, shipping, or taxation differences.
- A. Hannak, P. Sapiezynski, A. Molavi Kakhki, B. Krishnamurthy, D. Lazer, A. Mislove, and C. Wilson. Measuring personalization of web search. WWW '13, 2013. Google ScholarDigital Library
- Jakub Mikians.$heriff Browser Extension. http://pdexperiment.cba.upc.edu.Google Scholar
- Richard B McKenzie. Why popcorn costs so much at the movies: and other pricing puzzles. Springer, 2008.Google Scholar
- J. Mikians, L. Gyarmati, V. Erramilli, and N. Laoutaris. Detecting price and search discrimination on the internet. In Proc. ACM HotNets-XI, pages 79--84, New York, NY, USA, 2012. ACM. Google ScholarDigital Library
- A Odlyzko. Privacy, economics, and price discrimination on the internet. ICEC '03. Google ScholarDigital Library
- Wired. Online Prices Not Created Equal, 2000. http://www.wired.com/techbiz/media/news/2000/09/38622.Google Scholar
Index Terms
- Crowd-assisted search for price discrimination in e-commerce: first results
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