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Major Social Media Algorithms
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TikTok Recommendation Algorithm
TikTok's For You Page uses video interactions, device and account settings, and the video information to recommend content tailored to user preferences.
Snapchat Algorithm
Snapchat's Discover uses machine learning to personalize the content feed based on user interactions, viewing habits, and engagement with the content.
Pinterest Algorithm
The Pinterest algorithm recommends Pins and organizes content on a user's home feed based on their past activity, the quality of the Pin, and the activity of the Pin on the platform.
Twitter Algorithm
Twitter's algorithm considers tweet recency, user engagement, and the interactivity of the user with the author when determining the prominence and order of tweets on a user's feed.
LinkedIn Algorithm
LinkedIn prioritizes content based on personal connections, interest relevance, engagement probability, and content quality to enhance professional networking on users' feeds.
Twitch Recommendation Algorithm
Twitch uses an algorithm that considers viewing history, followed channels, and user engagement to recommend live content and improve discoverability for streamers on user's feeds.
Instagram Algorithm
The Instagram algorithm uses engagement, relevance, relationships, timeliness, frequency, following, and usage to rank posts on a user's feed.
YouTube Recommendation Algorithm
YouTube uses performance metrics like click-through rate, average view duration, number of likes and comments, and relevance to recommend videos and rank them in users' feeds.
EdgeRank
Former algorithm used by Facebook to determine which content is displayed—and how high—on user's News Feeds, based on factors like affinity, weight, and time decay.
Reddit Algorithm
Reddit's algorithm ranks content based on user upvotes and downvotes, with consideration to the post's recency to ensure fresh content has visibility on user's feeds.
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