فريد πŸ‡΅πŸ‡ΈπŸ‰πŸ”»: Algorithm Manipulation Engagement Metrics: X's algorithms prioritize content based on...
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Algorithm Manipulation

Engagement Metrics: X's algorithms prioritize content based on engagement metrics like likes, retweets, and comments. By liking tweets from specific users, these bots could artificially inflate engagement, which might confuse the algorithm into thinking the content is more popular or relevant than it is. However, if these likes are associated with NSFW content or profiles, it might:

Deboost Content: If X's system detects an association with NSFW content, it might reduce the visibility of those users' tweets to maintain platform safety and user experience standards.

Shadow Banning: Although X doesn't officially use the term "shadow ban," the effect you describe could mimic this practice, where users' posts are not shown to a broad audience or are de-ranked in search results and timelines. This could happen if the algorithm flags accounts for NSFW interactions:

Visibility Reduction: Linking users with NSFW content, even inadvertently through likes from spambots, might lead to their tweets being less visible or appearing lower in feeds, essentially censoring them.

Censorship Mechanism

Intentional or Unintentional: Whether this is an intentional strategy by bot operators to target specific users or an unintended consequence of spamming, the outcome can be similar – reduced visibility for those users.

Targeting: If bots are designed to specifically target activists, journalists, or other influential voices, this could be a form of digital censorship or harassment.

Psychological Impact: Beyond algorithmic effects, this method can have psychological impacts on users, making them feel targeted or unfairly censored, which might influence their behavior on the platform.

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