Annoyed Users: Ads and Ad-Block Usage in the Wild
IMC’15 Tokyo, Japan
Oliver Hohlfeld RWTH Aachen Anja Feldmann TU Berlin Enric Pujol TU Berlin
Annoyed Users: Ads and Ad-Block Usage in the Wild Enric Pujol - - PowerPoint PPT Presentation
Annoyed Users: Ads and Ad-Block Usage in the Wild Enric Pujol Oliver Hohlfeld Anja Feldmann TU Berlin RWTH Aachen TU Berlin IMC15 Tokyo, Japan 2 http://www.journalism.org/2015/04/29/digital-news-revenue-fact-sheet Page Fair and Adobe
IMC’15 Tokyo, Japan
Oliver Hohlfeld RWTH Aachen Anja Feldmann TU Berlin Enric Pujol TU Berlin
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http://www.journalism.org/2015/04/29/digital-news-revenue-fact-sheet Page Fair and Adobe report on Ad Blocking
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Mozilla Add-on statistics
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(Why can I not see BILD.de?)
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Online advertising Residential Broadband Network Methodology based on AdBlockPlus Characterize ad traffic Ad-blocker usage
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URL
www.bar.com
#document HTML HEAD BODY … IMG DOM Tree Content-Type Base URL
http://ads.example. com/ad.gif www.foo.com
Content Policy
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Caveat: ad-free content
Caveat: HTTPS + NATs
Browser Mode #HTTP ad-requests ratio Vanilla 57.8K 16 % Adblock Plus + all lists 48.5K <0.1 %
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Vanilla: no plugin AdBP-Pa: adblockPlus + all lists
Trace RBN-1 RBN-2 Duration 4 days 15 and ½ hours Subscribers 7.5 K 19.7 K HTTPbytes 18.8 TB 11.4 TB HTTPrequests 131.95 M 85.09 M Characterize ad traffic Assess ad-blocker prevalence
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Ad-related traffic EasyList and derivatives (55 %) EasyPrivacy (35 %) Acceptable ads (10 %) 0 % 18 % 100 % Black-listed (57%)
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500K pairs <IP, UserAgent> 1.6K unique UserAgent strings 9.2 K users Heavy hitters Mobile Firefox Chrome Safari IE 33 % 24 % 15 % 21 % 7 % Known browsers
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Ad Ratio EasyList
✘ ✘ ✘ ✔ ✔ ✘ ✔ ✔
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Ad Ratio EasyList
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Ad Ratio EasyList
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Ad Ratio EasyList
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82% 11 % 7% EasyPrivacy Acceptable ads EasyList No ad blocker EasyPrivacy Acceptable ads
ABP users
AGGREGATED
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