Algorithmic curation

From HandWiki
Short description: Curation of media using computer algorithms


Algorithmic curation is the curation (organizing and maintaining a collection) of online media using recommendation algorithms and personalized searches. Examples include search engine and social media products[1] 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.[1][2]

The usage of algorithmic curation has been increasing immensely, Social Media Platforms in 2023 have introduced various new updates to the use of algorithmic 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[3] 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