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Social advertising (or social promotion) is an effective approach that produces a significant cascade of adoption through influence in the online social networks. The goal of this work is to optimize the ad allocation from the platform's…

社会与信息网络 · 计算机科学 2015-05-14 Shaojie Tang , Jing Yuan

Communication strongly influences attitudes on climate change. Within sponsored communication, high spend and high reach advertising dominates. In the advertising ecosystem we can distinguish actors with adversarial stances: organizations…

人机交互 · 计算机科学 2023-08-09 Aruna Sankaranarayanan , Erik Hemberg , Una-May O'Reilly

Ensuring privacy of users of social networks is probably an unsolvable conundrum. At the same time, an informed use of the existing privacy options by the social network participants may alleviate - or even prevent - some of the more…

密码学与安全 · 计算机科学 2016-02-08 Kambiz Ghazinour , Stan Matwin , Marina Sokolova

Targeted online advertising is on the forefront of political communication, allowing hyper-local advertising campaigns around elections and issues. In this study, we employ a new resource for political ad monitoring -- Facebook Ads Library…

Online advertising has typically been more personalized than offline advertising, through the use of machine learning models and real-time auctions for ad targeting. One specific task, predicting the likelihood of conversion (i.e.\ the…

On the modern web, trackers and advertisers frequently construct and monetize users' detailed behavioral profiles without consent. Despite various studies on web tracking mechanisms and advertisements, there has been no rigorous study…

Being able to check whether an online advertisement has been targeted is essential for resolving privacy controversies and implementing in practice data protection regulations like GDPR, CCPA, and COPPA. In this paper we describe the…

Social networks such as Facebook (FB) and Instagram are known for tracking user online behaviour for commercial gain. To this day, there is practically no other way of achieving privacy in said platforms other than renouncing their use.…

社会与信息网络 · 计算机科学 2022-09-09 Robert Cantaragiu , Antonis Michalas , Eugene Frimpong , Alexandros Bakas

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…

计算机与社会 · 计算机科学 2024-01-29 Shomik Jain , Abby K. Wood

The tech industry has been criticised for designing applications that undermine individuals' autonomy. Recommender systems, in particular, have been identified as a suspected culprit that might exercise unwanted control over peoples' lives.…

信息检索 · 计算机科学 2022-11-16 Anton Angwald , Kalle Areskoug , Alan Said

Recent years have seen a sharp rise in adblocker use, driven by increased web tracking and personalized ads. However, a significant issue for adblocker users is the web breakages they encounter, which worsens their browsing experience and…

密码学与安全 · 计算机科学 2024-11-01 Ritik Roongta , Mitchell Zhou , Ben Stock , Rachel Greenstadt

Social Media Advertisement has emerged as an effective approach for promoting the brands of a commercial house. Hence, many of them have started using this medium to maximize the influence among the users and create a customer base. In…

社会与信息网络 · 计算机科学 2025-04-02 Poonam Sharma , Dildar Ali , Suman Banerjee

Targeted marketing policies target different customers with different marketing actions. While most research has focused on training targeting policies without managerial constraints, in practice, many firms face managerial constraints when…

最优化与控制 · 数学 2023-12-20 Haihao Lu , Duncan Simester , Yuting Zhu

The rise of ad-blockers is viewed as an economic threat by online publishers, especially those who primarily rely on ad- vertising to support their services. To address this threat, publishers have started retaliating by employing ad-block…

密码学与安全 · 计算机科学 2016-05-20 Muhammad Haris Mughees , Zhiyun Qian , Zubair Shafiq , Karishma Dash , Pan Hui

Inappropriate and profane content on social media is exponentially increasing and big corporations are becoming more aware of the type of content on which they are advertising and how it may affect their brand reputation. But with a huge…

机器学习 · 计算机科学 2019-11-20 Vishal Anand , Ravi Shukla , Ashwani Gupta , Abhishek Kumar

Recommender systems play a central role in digital platforms by providing personalized content. They often use methods such as collaborative filtering and machine learning to accurately predict user preferences. Although these systems offer…

密码学与安全 · 计算机科学 2025-11-11 Zihao Wang , Tianhao Mao , XiaoFeng Wang , Di Tang , Xiaozhong Liu

Advances in deep learning have made face recognition technologies pervasive. While useful to social media platforms and users, this technology carries significant privacy threats. Coupled with the abundant information they have about users,…

密码学与安全 · 计算机科学 2020-12-16 Varun Chandrasekaran , Chuhan Gao , Brian Tang , Kassem Fawaz , Somesh Jha , Suman Banerjee

Modern ad auctions allow advertisers to target more specific segments of the user population. Unfortunately, this is not always in the best interest of the ad platform. In this paper, we examine the following basic question in the context…

计算机科学与博弈论 · 计算机科学 2019-07-16 Ashwinkumar Badanidiyuru , Kshipra Bhawalkar , Haifeng Xu

The online advertising management platform has become increasingly popular among e-commerce vendors/advertisers, offering a streamlined approach to reach target customers. Despite its advantages, configuring advertising strategies correctly…

信息检索 · 计算机科学 2023-08-22 Lianghai Xiao , Yixing Zhao , Jiwei Chen

Consumers value keeping some information about them private from potential marketers. E-commerce dramatically increases the potential for marketers to accumulate otherwise private information about potential customers. Online marketers…

计算机与社会 · 计算机科学 2007-05-23 Michael R. Ward , Yu-Ching Chen