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The lack of cooperation can easily result in inequality among members of a society, which provides an increasing gap between individual incomes. To tackle this issue, we introduce an incentive mechanism based on individual strategies and…

Physics and Society · Physics 2025-01-24 Luo-Luo Jiang , Yi-Ming Li , Wen-Jing Li , Attila Szolnoki

Content moderation is a widely used strategy to prevent the dissemination of irregular information on social media platforms. Despite extensive research on developing automated models to support decision-making in content moderation, there…

Social and Information Networks · Computer Science 2024-08-23 Wangjiaxuan Xin , Kanlun Wang , Zhe Fu , Lina Zhou

The Web is a canonical example of a competitive retrieval setting where many documents' authors consistently modify their documents to promote them in rankings. We present an automatic method for quality-preserving modification of document…

Information Retrieval · Computer Science 2020-06-30 Gregory Goren , Oren Kurland , Moshe Tennenholtz , Fiana Raiber

Emerging marketplaces for large language models and other large-scale machine learning (ML) models appear to exhibit market concentration, which has raised concerns about whether there are insurmountable barriers to entry in such markets.…

Machine Learning · Computer Science 2024-09-06 Meena Jagadeesan , Michael I. Jordan , Jacob Steinhardt

As mobile traffic is dominated by content services (e.g., video), which typically use recommendation systems, the paradigm of network-friendly recommendations (NFR) has been proposed recently to boost the network performance by promoting…

Networking and Internet Architecture · Computer Science 2021-07-23 Theodoros Giannakas , Pavlos Sermpezis , Anastasios Giovanidis , Thrasyvoulos Spyropoulos , George Arvanitakis

Recommendation systems are extremely popular tools for matching users and contents. However, when content providers are strategic, the basic principle of matching users to the closest content, where both users and contents are modeled as…

Computer Science and Game Theory · Computer Science 2018-09-11 Omer Ben-Porat , Gregory Goren , Itay Rosenberg , Moshe Tennenholtz

We introduce a game-theoretic framework examining strategic interactions between a platform and its content creators in the presence of AI-generated content. Our model's main novelty is in capturing creators' dual strategic decisions: The…

Computer Science and Game Theory · Computer Science 2026-03-26 Gur Keinan , Omer Ben-Porat

Algorithmic decision making systems are ubiquitous across a wide variety of online as well as offline services. These systems rely on complex learning methods and vast amounts of data to optimize the service functionality, satisfaction of…

Machine Learning · Statistics 2017-03-27 Muhammad Bilal Zafar , Isabel Valera , Manuel Gomez Rodriguez , Krishna P. Gummadi

In this paper, we present a resource allocation mechanism for the problem of incentivizing filtering among a finite number of strategic social media platforms. We consider the presence of a strategic government and private knowledge of how…

Computer Science and Game Theory · Computer Science 2022-05-24 Aditya Dave , Ioannis Vasileios Chremos , Andreas A. Malikopoulos

Cross-group externalities and network effects in two-sided platform markets shape market structure and competition policy, and are the subject of extensive study. Less understood are the within-group externalities that arise when the…

Theoretical Economics · Economics 2020-11-10 Quitzé Valenzuela-Stookey

The conference peer review process involves three constituencies with different objectives: authors want their papers accepted at prestigious venues (and quickly), conferences want to present a program with many high-quality and few…

Computer Science and Game Theory · Computer Science 2025-09-30 Yichi Zhang , Fang-Yi Yu , Grant Schoenebeck , David Kempe

We study the existence of pure Nash equilibrium (PNE) for the mechanisms used in Internet services (e.g., online reviews and question-answer websites) to incentivize users to generate high-quality content. Most existing work assumes that…

Computer Science and Game Theory · Computer Science 2014-04-22 Yingce Xia , Tao Qin , Nenghai Yu , Tie-Yan Liu

The proliferation of harmful content on online platforms is a major societal problem, which comes in many different forms including hate speech, offensive language, bullying and harassment, misinformation, spam, violence, graphic content,…

Most online platforms strive to learn from interactions with users, and many engage in exploration: making potentially suboptimal choices for the sake of acquiring new information. We study the interplay between exploration and competition:…

Computer Science and Game Theory · Computer Science 2024-10-15 Guy Aridor , Yishay Mansour , Aleksandrs Slivkins , Zhiwei Steven Wu

Most scientists are aware that, in addition to the traditional and subscription-based publication model, there is also the possibility of publishing their research in open access. Various surveys show that scientists are in favour of this…

Human-Computer Interaction · Computer Science 2020-02-11 Athanasios Mazarakis , Paula Bräuer

Blockchain systems, such as Ethereum, are increasingly adopting layer-2 scaling solutions to improve transaction throughput and reduce fees. One popular layer-2 approach is the Optimistic Rollup, which relies on a mechanism known as a…

Computer Science and Game Theory · Computer Science 2025-04-08 Suhyeon Lee

Institutions and investors are constantly faced with the challenge of appropriately distributing endowments. No budget is limitless and optimising overall spending without sacrificing positive outcomes has been approached and resolved using…

Multiagent Systems · Computer Science 2023-01-25 Theodor Cimpeanu , Alessandro Di Stefano , Cedric Perret , The Anh Han

To maintain fairness, in the terms of resources shared by an individual peer, a proper incentive policy is required in a peer to peer network. This letter proposes, a simpler mechanism to rank the peers based on their resource contributions…

Networking and Internet Architecture · Computer Science 2016-06-03 Sateesh Kumar Awasthi , Yatindra Nath Singh

Media publisher platforms often face an effectiveness-nuisance tradeoff: more annoying ads can be more effective for some advertisers because of their ability to attract attention, but after attracting viewers' attention, their nuisance to…

Computer Science and Game Theory · Computer Science 2017-01-27 Valeria Stourm , Eric Bax

In a system of interdependent users, the security of an entity is affected not only by that user's investment in security measures, but also by the positive externality of the security decisions of (some of) the other users. The provision…

Computer Science and Game Theory · Computer Science 2015-03-26 Parinaz Naghizadeh , Mingyan Liu