Algorithmic curation is the selection of online media by recommendation algorithms and personalized searches. Examples include search engine and social media products such as the Twitter feed, Facebook's News Feed, and the Google Personalized Search.
Curation algorithms are typically proprietary or "black box", leading to concern about algorithmic bias and the creation of filter bubbles.
See also
- Algorithmic radicalization
- Ambient awareness
- Influence-for-hire
- Social bot
- Social data revolution
- Social influence bias
- Social media bias
- Social media intelligence
- Social profiling
- Virtual collective consciousness
References
"New exhibit highlights differences between algorithmic and human curation | University of Oxford". www.ox.ac.uk. December 8, 2022. Retrieved March 7, 2023. https://www.ox.ac.uk/news/2022-12-08-new-exhibit-highlights-differences-between-algorithmic-and-human-curation ↩
"New exhibit highlights differences between algorithmic and human curation | University of Oxford". www.ox.ac.uk. December 8, 2022. Retrieved March 7, 2023. https://www.ox.ac.uk/news/2022-12-08-new-exhibit-highlights-differences-between-algorithmic-and-human-curation ↩
Berman, Ron; Katona, Zsolt (September 2016). "The Impact of Curation Algorithms on Social Network Content Quality and Structure". Working Papers. https://ideas.repec.org//p/net/wpaper/1608.html ↩