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We present the first extensive measurement of the privacy properties of the advertising systems used by privacy-focused search engines. We propose an automated methodology to study the impact of clicking on search ads on three popular…

Computers and Society · Computer Science 2023-09-26 Salim Chouaki , Oana Goga , Hamed Haddadi , Peter Snyder

This paper presents a practical side-channel attack that identifies the social web service account of a visitor to an attacker's website. Our attack leverages the widely adopted user-blocking mechanism, abusing its inherent property that…

Cryptography and Security · Computer Science 2018-05-15 Takuya Watanabe , Eitaro Shioji , Mitsuaki Akiyama , Keito Sasaoka , Takeshi Yagi , Tatsuya Mori

Digital advertising markets are growing and attracting increased scrutiny. This paper explores four market inefficiencies that remain poorly understood: ad effect measurement, frictions between and within advertising channel members, ad…

General Economics · Economics 2020-02-25 Brett R Gordon , Kinshuk Jerath , Zsolt Katona , Sridhar Narayanan , Jiwoong Shin , Kenneth C Wilbur

This paper uses and recycles data from a third-party digital marketing firm, to explore how targeted ads contribute to larger systems of racial discrimination. Focusing on a case study of targeted ads for educational searches in New York…

Computers and Society · Computer Science 2021-10-01 Ho-Chun Herbert Chang , Matt Bui , Charlton McIlwain

Recommender systems leverage user demographic information, such as age, gender, etc., to personalize recommendations and better place their targeted ads. Oftentimes, users do not volunteer this information due to privacy concerns, or due to…

Machine Learning · Computer Science 2014-08-01 Smriti Bhagat , Udi Weinsberg , Stratis Ioannidis , Nina Taft

Social media platforms offer numerous benefits and allow people to come together for various causes. Many communities, academia, government agencies, institutions, healthcare, entertainment, and businesses are on social media platforms.…

Cryptography and Security · Computer Science 2025-09-29 Smita Khapre , Sudhanshu Semwal

Recommendation systems and content filtering approaches based on annotations and ratings, essentially rely on users expressing their preferences and interests through their actions, in order to provide personalised content. This activity,…

Information Retrieval · Computer Science 2016-05-24 Silvia Puglisi , Javier Parra-Arnau , Jordi Forné , David Rebollo-Monedero

Social media has expanded in its use, and reach, since the inception of early social networks in the early 2000s. Increasingly, users turn to social media for keeping up to date with current affairs and information. However, social media is…

Social and Information Networks · Computer Science 2023-05-01 Marc Cheong

The ongoing deprecation of third-party cookies by web browser vendors has sparked the proposal of alternative methods to support more privacy-preserving personalized advertising on web browsers and applications. The Topics API is being…

Cryptography and Security · Computer Science 2024-12-12 Mário S. Alvim , Natasha Fernandes , Annabelle McIver , Gabriel H. Nunes

By filtering the content that users see, social media platforms have the ability to influence users' perceptions and decisions, from their dining choices to their voting preferences. This influence has drawn scrutiny, with many calling for…

Computers and Society · Computer Science 2021-11-03 Sarah H. Cen , Devavrat Shah

In this work, we model the end-to-end pipeline of the advertising ecosystem, allowing us to identify two main issues with the current trajectory of private advertising proposals. First, prior work has largely considered ad targeting and…

Cryptography and Security · Computer Science 2025-12-24 Kyle Hogan , Alishah Chator , Gabriel Kaptchuk , Mayank Varia , Srinivas Devadas

On today's Web, users trade access to their private data for content and services. Advertising sustains the business model of many websites and applications. Efficient and successful advertising relies on predicting users' actions and…

Computers and Society · Computer Science 2016-05-25 Silvia Puglisi , David Rebollo-Monedero , Jordi Forné

Social media platforms are popular venues for fashion brand marketing and advertising. With the introduction of native advertising, users don't have to endure banner ads that hold very little saliency and are unattractive. Using images and…

Social and Information Networks · Computer Science 2016-03-10 Lydia Manikonda , Ragav Venkatesan , Subbarao Kambhampati , Baoxin Li

Beyond being the world's largest social network, Facebook is for many also one of its greatest sources of digital distraction. For students, problematic use has been associated with negative effects on academic achievement and general…

Human-Computer Interaction · Computer Science 2020-05-21 Ulrik Lyngs , Kai Lukoff , Petr Slovak , William Seymour , Helena Webb , Marina Jirotka , Jun Zhao , Max Van Kleek , Nigel Shadbolt

Adblocking tools like Adblock Plus continue to rise in popularity, potentially threatening the dynamics of advertising revenue streams. In response, a number of publishers have ramped up efforts to develop and deploy mechanisms for…

Limited transparency in targeted advertising on online content delivery platforms can breed mistrust for both viewers (of the content and ads) and advertisers. This user study (n=864) explores how explanations for targeted ads can bridge…

Human-Computer Interaction · Computer Science 2024-09-25 Dina Zilbershtein , Francesco Barile , Daan Odijk , Nava Tintarev

When companies release marketing materials aimed at promoting their privacy practices or highlighting specific privacy features, what do they actually communicate to consumers? In this paper, we explore the impact of privacy marketing on:…

Cryptography and Security · Computer Science 2024-07-25 Xiaoxin Shen , Eman Alashwali , Lorrie Faith Cranor

We study how privacy technologies affect user and advertiser behavior in a simple economic model of targeted advertising. In our model, a consumer first decides whether or not to buy a good, and then an advertiser chooses an advertisement…

Computer Science and Game Theory · Computer Science 2015-08-14 Rachel Cummings , Katrina Ligett , Mallesh M. Pai , Aaron Roth

People who use social media are learning about how the companies that run these platforms make their decisions on who gets to see what through visual indicators in the interface (UI) of each social media site. These indicators are different…

Human-Computer Interaction · Computer Science 2026-02-10 Haoze Guo , Ziqi Wei

Many companies rely on advertising platforms such as Google, Facebook, or Instagram to recruit a large and diverse applicant pool for job openings. Prior works have shown that equitable bidding may not result in equitable outcomes due to…

Computers and Society · Computer Science 2023-05-24 Inbal Livni Navon , Charlotte Peale , Omer Reingold , Judy Hanwen Shen