Algorithmic curation
Algorithmic curation is the curation (organizing and maintaining a collection) of online media using computer algorithms. Examples include search engine algorithms and social media algorithms.[1] Examples include the Twitter feed algorithm, Facebook's algorithmic feeds and the Google search algorithm. Curation algorithms are typically proprietary "black box" algorithms, leading to concern about invisible bias in their choices and the creation of filter bubbles.[1][2]
The usage of Algorithm curation has been increasing immensely, Social Media Platforms in 2023 have introduced various new updates to the use of Algorithm curation. Mark Zuckerberg announced during an earnings call that usage of AI-powered Algorithmic curation will be doubled. Platforms like LinkedIn & TikTok are also experimenting with Algorithmic curation. This form of curation has changed how creators & businesses can escape social media algorithms to reach consumers. An average social media user is more likely to see only highly relevant content. But that relevancy becomes dangerous as if someone is only seeing biased content on their social media feed. Algorithmic curation betters your average social media experience, yet you need to be aware of what you’re seeing and why.
See also
References
- "New exhibit highlights differences between algorithmic and human curation | University of Oxford". www.ox.ac.uk. Retrieved March 7, 2023.
- Berman, Ron; Katona, Zsolt (September 2016). "The Impact of Curation Algorithms on Social Network Content Quality and Structure". Working Papers.