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Everything about Algorithmic curation
Algorithmic selection of online media
Algorithm curation is the selection of online media by technologies such as recommender systems and personalized search. Curation entails the selective sharing of online content and recommendations based on inferred interests. Curation algorithms implement different filter approaches, such as collaborative filtering and content-based filtering. Examples include search engine and social media products such as the Twitter feed, Facebook's News Feed, and Google Personalized Search. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Algorithmic curationA 5-minute orientation
- Skim a recent paper: Using Agent-Based Modelling to Evaluate the Impact of Algorithmic Curation on Social MediaInfluential work since 2022
- Pick up a classic book: Introduction to AI, Written by a HumanThe most-reprinted book on the subject
- Read the landmark paper: Algorithm for post-clustering curation of DNA amplicon data yields reliable biodiversity estimatesCited 732 times
- Go sideways: Collaborative filteringA closely related topic
- Go sideways: Recommender systemA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
Algorithm for post-clustering curation of DNA amplicon data yields reliable biodiversity estimates
“First Week Is Editorial, Second Week Is Algorithmic”: Platform Gatekeepers and the Platformization of Music Curation
Clickbait news and algorithmic curation: A game theory framework of the relation between journalism, users, and platforms
Mapping Exposure Diversity: The Divergent Effects of Algorithmic Curation on News Consumption
Auditing News Curation Systems: A Case Study Examining Algorithmic and Editorial Logic in Apple News
Bluesky: Network topology, polarization, and algorithmic curation
Oscillation Between Resist and to Not? Users’ Folk Theories and Resistance to Algorithmic Curation on Douyin
Exploring folk theories of algorithmic news curation for explainable design
🆕 Influential since 2022
Using Agent-Based Modelling to Evaluate the Impact of Algorithmic Curation on Social Media
Digitising “The Big Lie”: Algorithmic Curation as an Inhibitor of Media Exposure Diversity Online
Bridging the Tech-Editorial Gap: Lessons from Two Case Studies of the Development and Integration of Algorithmic Curation in Journalism
Are we different? Analyzing the role of algorithmic curation and algorithmic literacy during online shopping from a gender differences perspective
Understanding Community Resilience: Quantifying the Effects of Sudden Popularity via Algorithmic Curation
📚 Books worth reading
- 📕Introduction to AI, Written by a HumanJoe McGuire, Britt Collens · 2023
YouTube and MusicHolly Rogers, Joana Freitas · 2023
AI EngineeringChip Huyen · 2024- 📕Postdigital aestheticsDavid M. Berry, Michael Dieter · 2014
365 views of Mt. FujiTodd A. Shimoda · 1998- 📕Sixfold symmetryRachel Roe-Dale, Rachel Seligman · 2018
The Dissemination and Evolution of Excellent Traditional Chinese Culture (ETCC) in the Age of Artificial Intelligence (AI)You Chen · 2026
Introduction to making very big booksUnited States. Congress. Senate. Committee on Pensions · 2011
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
- Collaborative filtering Collaborative filtering (CF) is, besides content-based filtering, one of two major techniques used by recommender systems. Collaborative filtering has…
- Recommender system A recommender system, also called a recommendation engine or content discovery platform is a type of information filtering system that aims to suggest…
- Cold start (recommender systems) Cold start is a potential problem in computer-based information systems which involves a degree of automated data modelling. Specifically, it concerns…
- Algorithmic influence on consumer behavior Algorithmic influence on consumer behavior refers to the ways digital algorithms shape how consumers discover, evaluate, and make decisions about products…
- Matrix factorization (recommender systems) Matrix factorization is a class of collaborative filtering algorithms used in recommender systems. Matrix factorization algorithms work by decomposing…
- Filter bubble A filter bubble is a state of intellectual isolation that arises when personalized searches, recommendation systems, and algorithmic curation selectively…
- Algorithmic amplification Algorithmic amplification describes increases in the distribution or visibility of content on digital platforms, arising from a combination of automated…
- Personalized search Personalized search is a web search tailored specifically to an individual's interests by incorporating information about the individual beyond the specific…