AdReveal: improving transparency into online targeted advertising

B. Liu, Anmol Sheth, Udi Weinsberg, J. Chandrashekar, R. Govindan
{"title":"AdReveal: improving transparency into online targeted advertising","authors":"B. Liu, Anmol Sheth, Udi Weinsberg, J. Chandrashekar, R. Govindan","doi":"10.1145/2535771.2535783","DOIUrl":null,"url":null,"abstract":"To address the pressing need to provide transparency into the online targeted advertising ecosystem, we present AdReveal, a practical measurement and analysis framework, that provides a first look at the prevalence of different ad targeting mechanisms. We design and implement a browser based tool that provides detailed measurements of online display ads, and develop analysis techniques to characterize the contextual, behavioral and re-marketing based targeting mechanisms used by advertisers. Our analysis is based on a large dataset consisting of measurements from 103K webpages and 139K display ads. Our results show that advertisers frequently target users based on their online interests; almost half of the ad categories employ behavioral targeting. Ads related to Insurance, Real Estate and Travel and Tourism make extensive use of behavioral targeting. Furthermore, up to 65% of ad categories received by users are behaviorally targeted. Finally, our analysis of re-marketing shows that it is adopted by a wide range of websites and the most commonly targeted re-marketing based ads are from the Travel and Tourism and Shopping categories.","PeriodicalId":203847,"journal":{"name":"Proceedings of the Twelfth ACM Workshop on Hot Topics in Networks","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"82","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Twelfth ACM Workshop on Hot Topics in Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2535771.2535783","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 82

Abstract

To address the pressing need to provide transparency into the online targeted advertising ecosystem, we present AdReveal, a practical measurement and analysis framework, that provides a first look at the prevalence of different ad targeting mechanisms. We design and implement a browser based tool that provides detailed measurements of online display ads, and develop analysis techniques to characterize the contextual, behavioral and re-marketing based targeting mechanisms used by advertisers. Our analysis is based on a large dataset consisting of measurements from 103K webpages and 139K display ads. Our results show that advertisers frequently target users based on their online interests; almost half of the ad categories employ behavioral targeting. Ads related to Insurance, Real Estate and Travel and Tourism make extensive use of behavioral targeting. Furthermore, up to 65% of ad categories received by users are behaviorally targeted. Finally, our analysis of re-marketing shows that it is adopted by a wide range of websites and the most commonly targeted re-marketing based ads are from the Travel and Tourism and Shopping categories.
AdReveal:提高在线定向广告的透明度
为了解决为在线定向广告生态系统提供透明度的迫切需求,我们提出了AdReveal,这是一个实用的测量和分析框架,它提供了对不同广告定向机制流行程度的初步了解。我们设计并实现了一个基于浏览器的工具,该工具提供了在线展示广告的详细测量,并开发了分析技术,以表征广告商使用的基于上下文、行为和再营销的目标定位机制。我们的分析基于一个由103K个网页和139K个展示广告组成的大型数据集。我们的结果表明,广告商经常根据用户的在线兴趣来定位用户;几乎一半的广告类别采用了行为定位。保险、房地产和旅游相关的广告广泛使用了行为定位。此外,多达65%的用户收到的广告类别是行为定向的。最后,我们对再营销的分析表明,它被广泛的网站采用,最常见的有针对性的再营销广告来自旅游和购物类别。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信