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Major Social Media Algorithms

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TikTok Recommendation Algorithm

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TikTok's For You Page uses video interactions, device and account settings, and the video information to recommend content tailored to user preferences.

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Snapchat Algorithm

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Snapchat's Discover uses machine learning to personalize the content feed based on user interactions, viewing habits, and engagement with the content.

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Pinterest Algorithm

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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.

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Twitter Algorithm

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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.

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LinkedIn Algorithm

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LinkedIn prioritizes content based on personal connections, interest relevance, engagement probability, and content quality to enhance professional networking on users' feeds.

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Twitch Recommendation Algorithm

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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.

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Instagram Algorithm

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The Instagram algorithm uses engagement, relevance, relationships, timeliness, frequency, following, and usage to rank posts on a user's feed.

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YouTube Recommendation Algorithm

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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.

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EdgeRank

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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.

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Reddit Algorithm

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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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