algorithmic curation
The process of selecting, organizing, and presenting digital content to users on online platforms (social media, search engines) mediated by recommendation algorithms, aiming for engagement and personalization.
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algorithmic curation
Summary
algorithmic curation is a concept[1]. It draws 112 Wikipedia views per month (concept category, ranking #265 of 912).[2]
Key Facts
- algorithmic curation's field of work was social media[3].
- algorithmic curation's field of work was computer science[4].
- algorithmic curation's field of work was media studies[5].
- algorithmic curation's instance of is recorded as concept[6].
- algorithmic curation's subclass of is recorded as curating[7].
- algorithmic curation's subclass of is recorded as algorithm[8].
- algorithmic curation's has use is recorded as search engine[9].
- algorithmic curation's has use is recorded as social media[10].
- algorithmic curation's has part is recorded as deep learning[11].
- algorithmic curation's has part is recorded as algorithmic canonization[12].
- algorithmic curation's main subject is recorded as filter bubble[13].
- algorithmic curation's facet of is recorded as computer science[14].
- algorithmic curation's facet of is recorded as social media[15].
- algorithmic curation's has immediate cause is recorded as algorithmic bias[16].
- algorithmic curation's has effect is recorded as algorithmic canonization[17].
Body
Career and Affiliations
Fields of work include social media[3], an economic activity[18]; computer science[4], an academic discipline[19]; and media studies[5], an academic discipline[20].
Why It Matters
algorithmic curation draws 112 Wikipedia views per month (concept category, ranking #265 of 912).[2] It is known by 7 alternative names across languages and contexts.[21]