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On the one hand, the distribution recommendation based on attention stream content has prompted Weibo to shift from social distribution in the past to a combination of social distribution and intelligent distribution. The role of "people" in the communication process has been strengthened. In the early days of the social platform, all social relationships were based on "people." The motivation for users to pay attention came from their interest in publishing content. However, the content pool of this social distribution method will be greatly limited by "attention".
If the content pool is not rich enough, it will be difficult to find good content. In recent Dominica Email List years, with the widespread application of algorithms on social platforms, the relationship between "people" has been weakened invisibly. As a result, users have neither the motivation nor the ability to continuously expand their social circles and discover new content, and are forced to accept platforms based on known inherent interests. Recommended content. As two logically different distribution methods, social distribution and algorithmic distribution can
be said to have their own advantages and disadvantages. on Weibo is actually a middle way that attempts to combine the two. This is a new exploration for the industry. In an interview with the author, Weibo Internet technology blogger student said that “the essence of the second-degree relationship flow is actually to filter the content of the group of “people I follow and follow”, which is equivalent to letting the user do something for them. Although the final content is determined by algorithms, it is at least based on human judgment.
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