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Many researchers and organizations, such as WHO and UNICEF, have raised awareness of the dangers of advertisements targeted at children. While most existing laws only regulate ads on television that may reach children, lawmakers have been…

Social and Information Networks · Computer Science 2023-10-09 Tinhinane Medjkoune , Oana Goga , Juliette Senechal

Websites use third-party ads and tracking services to deliver targeted ads and collect information about users that visit them. These services put users' privacy at risk, and that is why users' demand for blocking these services is growing.…

The emergence of online political advertising has come with little regulation, allowing political advertisers on social media to avoid accountability. We analyze how transparency and accountability deficits caused by dark money and…

Computers and Society · Computer Science 2024-01-29 Shomik Jain , Abby K. Wood

An average adult is exposed to hundreds of digital advertisements daily (https://www.mediadynamicsinc.com/uploads/files/PR092214-Note-only-150-Ads-2mk.pdf), making the digital advertisement industry a classic example of a big-data-driven…

Machine Learning · Computer Science 2020-02-10 Saurav Manchanda , Pranjul Yadav , Khoa Doan , S. Sathiya Keerthi

With the emergence of new online channels and information technology, digital advertising tends to substitute more and more to traditional advertising by offering the opportunity to companies to target the consumers/users that are really…

Optimization and Control · Mathematics 2021-11-17 Médéric Motte , Huyên Pham

Dark patterns are user interface design choices that benefit an online service by coercing, steering, or deceiving users into making unintended and potentially harmful decisions. We present automated techniques that enable experts to…

Human-Computer Interaction · Computer Science 2019-09-23 Arunesh Mathur , Gunes Acar , Michael J. Friedman , Elena Lucherini , Jonathan Mayer , Marshini Chetty , Arvind Narayanan

In this work, we demonstrate how existing classifiers for identifying toxic comments online fail to generalize to the diverse concerns of Internet users. We survey 17,280 participants to understand how user expectations for what constitutes…

Social and Information Networks · Computer Science 2021-06-09 Deepak Kumar , Patrick Gage Kelley , Sunny Consolvo , Joshua Mason , Elie Bursztein , Zakir Durumeric , Kurt Thomas , Michael Bailey

Advertising, long the financial mainstay of the web ecosystem, has become nearly ubiquitous in the world of mobile apps. While ad targeting on the web is fairly well understood, mobile ad targeting is much less studied. In this paper, we…

Cryptography and Security · Computer Science 2015-02-24 Theodore Book , Dan S. Wallach

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

Recent years have seen a new form of advertisement campaigns emerge: those involving so-called social media influencers. These influencers accept money in return for promoting products via their social media feeds. Although this constitutes…

Social and Information Networks · Computer Science 2020-11-12 Koosha Zarei , Damilola Ibosiola , Reza Farahbakhsh , Zafar Gilani , Kiran Garimella , Noel Crespi , Gareth Tyson

Our consumption of online information is mediated by filtering, ranking, and recommendation algorithms that introduce unintentional biases as they attempt to deliver relevant and engaging content. It has been suggested that our reliance on…

Social and Information Networks · Computer Science 2020-10-07 Dimitar Nikolov , Mounia Lalmas , Alessandro Flammini , Filippo Menczer

Online Social Networks (OSNs) witness a rise in user activity whenever an event takes place. Malicious entities exploit this spur in user-engagement levels to spread malicious content that compromises system reputation and degrades user…

Social and Information Networks · Computer Science 2015-01-06 Prateek Dewan , Ponnurangam Kumaraguru

The use of alluring headlines (clickbait) to tempt the readers has become a growing practice nowadays. For the sake of existence in the highly competitive media industry, most of the on-line media including the mainstream ones, have started…

Social and Information Networks · Computer Science 2017-03-29 Md Main Uddin Rony , Naeemul Hassan , Mohammad Yousuf

Opaque algorithms disseminate and mediate the content that users consume on online social media platforms. This algorithmic mediation serves users with contents of their liking, on the other hand, it may cause several inadvertent risks to…

Social and Information Networks · Computer Science 2025-01-28 Cai Yang , Sepehr Mousavi , Abhisek Dash , Krishna P. Gummadi , Ingmar Weber

Ad-load balancing is a critical challenge in online advertising systems, particularly in the context of social media platforms, where the goal is to maximize user engagement and revenue while maintaining a satisfactory user experience. This…

Information Retrieval · Computer Science 2023-12-20 Hitesh Sagtani , Madan Jhawar , Rishabh Mehrotra , Olivier Jeunen

Today's largest technology corporations, especially ones with consumer-facing products such as social media platforms, use a variety of unethical and often outright illegal tactics to maintain their dominance. One tactic that has risen to…

Computers and Society · Computer Science 2026-05-14 Michelle Nie

Social media expose millions of users every day to information campaigns --- some emerging organically from grassroots activity, others sustained by advertising or other coordinated efforts. These campaigns contribute to the shaping of…

Social and Information Networks · Computer Science 2017-03-23 Onur Varol , Emilio Ferrara , Filippo Menczer , Alessandro Flammini

Many online services, such as search engines, social media platforms, and digital marketplaces, are advertised as being available to any user, regardless of their age, gender, or other demographic factors. However, there are growing…

Information Retrieval · Computer Science 2017-05-31 Rishabh Mehrotra , Ashton Anderson , Fernando Diaz , Amit Sharma , Hanna Wallach , Emine Yilmaz

We study the problem of personalized advertisement recommendation (PAR), which consist of a user visiting a system (website) and the system displaying one of $K$ ads to the user. The system uses an internal ad recommendation policy to map…

Machine Learning · Computer Science 2016-03-08 Sougata Chaudhuri , Georgios Theocharous , Mohammad Ghavamzadeh

Gender and racial diversity in the mediated images from the media shape our perception of different demographic groups. In this work, we investigate gender and racial diversity of 85,957 advertising images shared by the 73 top international…

Computers and Society · Computer Science 2019-08-06 Jisun An , Haewoon Kwak