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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

With the introduction of memory-bound cryptocurrencies, such as Monero, the implementation of mining code in browser-based JavaScript has become a worthwhile alternative to dedicated mining rigs. Based on this technology, a new form of…

Cryptography and Security · Computer Science 2018-08-30 Marius Musch , Christian Wressnegger , Martin Johns , Konrad Rieck

Digital ads on social-media platforms play an important role in shaping access to economic opportunities. Our work proposes and implements a new third-party auditing method that can evaluate racial bias in the delivery of ads for education…

Computers and Society · Computer Science 2024-07-22 Basileal Imana , Aleksandra Korolova , John Heidemann

Third party tracking allows companies to identify users and track their behaviour across multiple digital services. This paper presents an empirical study of the prevalence of third-party trackers on 959,000 apps from the US and UK Google…

Computers and Society · Computer Science 2018-10-19 Reuben Binns , Ulrik Lyngs , Max Van Kleek , Jun Zhao , Timothy Libert , Nigel Shadbolt

We consider the problem of personalization of online services from the viewpoint of ad targeting, where we seek to find the best ad categories to be shown to each user, resulting in improved user experience and increased advertisers'…

Artificial Intelligence · Computer Science 2016-06-30 Nemanja Djuric , Mihajlo Grbovic , Vladan Radosavljevic , Narayan Bhamidipati , Slobodan Vucetic

The proliferation of unreliable news domains on the internet has had wide-reaching negative impacts on society. We introduce and evaluate interventions aimed at reducing traffic to unreliable news domains from search engines while…

Information Retrieval · Computer Science 2024-04-16 Peter Carragher , Evan M. Williams , Kathleen M. Carley

Throughout recent years, the importance of internet-privacy has continuously risen. [...] Browser fingerprinting is a technique that does not require cookies or persistent identifiers. It derives a sufficiently unique identifier from the…

Cryptography and Security · Computer Science 2022-10-21 Sebastian Neef

Ad platforms such as Facebook, Google and LinkedIn promise value for advertisers through their targeted advertising. However, multiple studies have shown that ad delivery on such platforms can be skewed by gender or race due to hidden…

Computers and Society · Computer Science 2021-04-12 Basileal Imana , Aleksandra Korolova , John Heidemann

Recent developments in online tracking make it harder for individuals to detect and block trackers. Some sites have deployed indirect tracking methods, which attempt to uniquely identify a device by asking the browser to perform a…

Computers and Society · Computer Science 2019-08-22 Julissa Milligan , Sarah Scheffler , Andrew Sellars , Trishita Tiwari , Ari Trachtenberg , Mayank Varia

A growing number of empirical studies suggest that negative advertising is effective in campaigning, while the mechanisms are rarely mentioned. With the scandal of Cambridge Analytica and Russian intervention behind the Brexit and the 2016…

Social and Information Networks · Computer Science 2019-11-14 Hongtao Liu

There are a large number of competing ADXs on the Internet. It is the primary demand to identify and compare the advertising performance of ADX. Traditional method relies on training artificial online personas to represent behavioral…

Computers and Society · Computer Science 2018-03-19 Nanxi Huang , Chunxi Li , Yongxiang Zhao , Yuchun Guo

Domain probe lists--used to determine which URLs to probe for Web censorship--play a critical role in Internet censorship measurement studies. Indeed, the size and accuracy of the domain probe list limits the set of censored pages that can…

Cryptography and Security · Computer Science 2024-07-12 Jenny Tang , Leo Alvarez , Arjun Brar , Nguyen Phong Hoang , Nicolas Christin

Ad blockers allow users to browse websites without viewing ads. Online news providers that rely on advertising revenue tend to perceive users adoption of ad blockers purely as a threat to revenue. Yet, this perception ignores the…

General Economics · Economics 2021-08-17 Shunyao Yan , Klaus M. Miller , Bernd Skiera

Digital platforms, including social networks, are major sources of economic information. Evidence suggests that digital platforms display different socioeconomic opportunities to demographic groups. Our work addresses this issue by…

Computers and Society · Computer Science 2020-08-25 Sara Kingsley , Clara Wang , Alex Mikhalenko , Proteeti Sinha , Chinmay Kulkarni

Online Behavioural targeted Advertising (OBA) has risen in prominence as a method to increase the effectiveness of online advertising. OBA operates by associating tags or labels to users based on their online activity and then using these…

Computers and Society · Computer Science 2015-09-10 J. M. Carrascosa , J. Mikians , R. Cuevas , V. Erramilli , N. Laoutaris

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

During the past few years, mostly as a result of the GDPR and the CCPA, websites have started to present users with cookie consent banners. These banners are web forms where the users can state their preference and declare which cookies…

Computers and Society · Computer Science 2022-02-11 Emmanouil Papadogiannakis , Panagiotis Papadopoulos , Nicolas Kourtellis , Evangelos P. Markatos

Online advertisements have become one of today's most widely used tools for enhancing businesses partly because of their compatibility with A/B testing. A/B testing allows sellers to find effective advertisement strategies such as ad…

Machine Learning · Computer Science 2020-10-22 Akira Matsui , Daisuke Moriwaki

The growing popularity of short-form video content, such as YouTube Shorts, has transformed user engagement on digital platforms, raising critical questions about the role of recommendation algorithms in shaping user experiences. These…

Information Retrieval · Computer Science 2025-07-30 Selimhan Dagtas , Mert Can Cakmak , Nitin Agarwal

In E-commerce advertising, where product recommendations and product ads are presented to users simultaneously, the traditional setting is to display ads at fixed positions. However, under such a setting, the advertising system loses the…

Machine Learning · Computer Science 2019-09-04 Weixun Wang , Junqi Jin , Jianye Hao , Chunjie Chen , Chuan Yu , Weinan Zhang , Jun Wang , Xiaotian Hao , Yixi Wang , Han Li , Jian Xu , Kun Gai
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