Analysis Timeline User Content on Instagram Using Simple Additive Weighting Algorithm
|Published in:||Issue 1, (Vol. 16) / 2022|
|Author(s):||FANNY Cyntia, ISTIONO Wirawan|
|Abstract.||nstagram is one of the social media with the main feature to share photos/videos with other users. The photo or video will be uploaded in the form of a post, where the post will appear on the uploader's profile and in the timeline of the followers of the uploading user. When it was first launched, Instagram used a very simple algorithm to control the order in which posts were displayed. Posts that are displayed on the user timeline are only posts from other users that are followed and arranged only by the order in which they are posted. The more recently posted posts will appear in the timeline with the top positions compared to the older posts. This makes so many posts less visible to other users, especially posts posted at certain times, where the majority of other users are not active on Instagram (for example at midnight). But since the end of 2018, there has been a new algorithm implemented by Instagram. Posts that will appear in the user timeline are organized based on 3 main factors, namely Interest, Timeliness, and Relationship. Interest, that is, posts are ranked based on user interest, the more relevant they are, the more their position is on the user's timeline. Timeliness is a factor when the post is published. The newer the posting time, the higher the position will also be in the user timeline. The relationship is a factor of the intensity of interaction with another account. The more a user interacts with an account, the posts from that account will occupy a higher position in the timeline. Also, posts that appear are influenced by three supporting factors, such as Frequency, Following, and Usage. Frequency is how often users open Instagram. Following is the post content that appears in the user's timeline is the post from another user that he follows. And Usage is how much time the user spends accessing Instagram|
|Keywords:||Analyst System, Decision Support System, Instagram Timeline, Simple Additive Weighting, User Content|
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