Results 11 to 20 of about 35,088 (292)
Modeling Content Creator Incentives on Algorithm-Curated Platforms
, 2022 Content creators compete for user attention. Their reach crucially depends on algorithmic choices made by developers on online platforms. To maximize exposure, many creators adapt strategically, as evidenced by examples like the sprawling search engine optimization industry. This begets competition for the finite user attention pool. We formalize these
Hron, J. +4 more
openaire +3 more sources
Frontiers in Psychology, 2022 The COVID-19 pandemic has accelerated the integration of algorithms in online platforms to facilitate people’s work and life. Algorithms are increasingly being utilized to tailor the selection and presentation of online content.
Wei Fang, Jianbin Jin
doaj +1 more source
A Puff of Steem: Security Analysis of Decentralized Content Curation [PDF]
, 2020 Decentralized content curation is the process through which uploaded posts are ranked and filtered based exclusively on users\u27 feedback. Platforms such as the blockchain-based Steemit employ this type of curation while providing monetary incentives to
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core +1 more source
Crowdsourced audit of Twitter’s recommender systems
Scientific Reports, 2023 This research conducts an audit of Twitter’s recommender system, aiming to examine the disparities between users’ curated timelines and their subscription choices.
Paul Bouchaud +2 more
doaj +1 more source
Algorithmic Curation and Users’ Civic Attitudes: A Study on Facebook News Feed Results
Information, 2021 Facebook users are exposed to diverse news and political content; this means that Facebook is a significant tool for the enhancement of civic participation and engagement in politics.
Venetia Papa, Thomas Photiadis
doaj +1 more source
The Explanatory Gap in Algorithmic News Curation [PDF]
, 2021 Considering the large amount of available content, social media platforms increasingly employ machine learning (ML) systems to curate news. This paper examines how well different explanations help expert users understand why certain news stories are recommended to them.
openaire +2 more sources
Curriculum Guidelines for Undergraduate Programs in Data Science [PDF]
, 2017 The Park City Math Institute (PCMI) 2016 Summer Undergraduate Faculty Program met for the purpose of composing guidelines for undergraduate programs in Data Science.
Agarwal, Mahesh +24 more
core +3 more sources
, 2018 Today, a consistent part of our everyday interaction with art and aesthetic artefacts occurs through digital media, and our preferences and choices are systematically tracked and analyzed by algorithms in ways that are far from transparent.
Arielli, Emanuele
core +1 more source
A relevancy algorithm for curating earth science data around phenomenon [PDF]
Computers & Geosciences, 2017 Earth science data are being collected for various science needs and applications, processed using different algorithms at multiple resolutions and coverages, and then archived at different archiving centers for distribution and stewardship causing difficulty in data discovery.
Manil, Maskey +6 more
openaire +2 more sources
My friends, editors, algorithms, and I: Examining audience attitudes to news selection [PDF]
, 2018 Prompted by the ongoing development of content personalization by social networks and mainstream news brands, and recent debates about balancing algorithmic and editorial selection, this study explores what audiences think about news selection mechanisms
Berelson Bernard +8 more
core +3 more sources