I want to connect the computers running these NSFW Like-Spam Bots to a 380kV transmission line.

Every post that I make get's a like from these bots within seconds causing X's algorithms to hide it.

I have reported and blocked hundreds of them but they are like the sand on the seashore and X keeps telling me that this hellspawn does not violate it's rules.

Analysis of X Post by فريد 🇵🇸🍉🔻 @R34lB0rg

Post Content: The post by @R34lB0rg expresses frustration with NSFW (Not Safe For Work) Like-Spam Bots on X, which automatically like posts within seconds of being made, causing X's algorithms to hide the original poster's content. The user suggests a hyperbolic solution of connecting these bots to a 380kV transmission line, which is clearly an expression of extreme annoyance rather than a literal suggestion. The user also mentions having reported and blocked hundreds of these bots, yet they continue to proliferate, likening them to the "sand on the seashore" from the biblical reference, implying their vast and seemingly endless numbers.

Key Points:

1. Frustration with Spam Bots:

   • The user is dealing with automated accounts (bots) that like their posts almost immediately, which triggers X's algorithms to reduce the visibility of the user's content. This is a common issue on social media platforms where bots are used to artificially inflate engagement or disrupt user experience. https://www.quora.com/How-can-one-report-the-use-of-bots-on-social-media-platforms-like-Facebook-Twitter-or-Instagram

2. Reporting and Blocking:

   • The user has taken the standard actions of reporting and blocking these bots, which is the recommended procedure by most social media platforms to deal with spam. However, the effectiveness of these actions is limited, as new bots continuously appear. https://www.quora.com/How-can-one-report-the-use-of-bots-on-social-media-platforms-like-Facebook-Twitter-or-Instagram

3. Algorithmic Impact:

   • The quick likes from bots can skew the platform's algorithms, which are designed to detect and potentially suppress content that seems to receive unnatural engagement patterns. This affects content visibility and user interaction, highlighting a flaw in how platforms might handle engagement metrics. https://zapier.com/blog/best-social-media-management-tools/

4. Hyperbolic Expression:

   • The suggestion to connect bots to a high-voltage line is a hyperbolic expression of frustration, not a real intention. It's a way to vent frustration in an exaggerated manner, which is common in online discourse when dealing with persistent annoyances.

5. Biblical Reference:

   • The comparison to "sand on the seashore" from Revelation 20:7-10 serves as a metaphor for the overwhelming number of these bots, suggesting that dealing with them feels like an endless battle.

Related Web Results Analysis:

• Web Result 0: Discusses Meta's (formerly Facebook) strategy with AI bots, indicating a trend where AI is increasingly used in social media for engagement, which might relate to the proliferation of bots on other platforms like X. This context helps understand why there might be an increase in bot activity. https://www.thewrap.com/facebook-ai-bots-new-social-media-friends/

• Web Result 1 & 2: Focuses on strategies to manage spam in Twitch chat, offering insights into AI tools for moderation which could be analogous to potential solutions for X's spam problem. The use of machine learning for filtering, rate limiting, and user verification could be applicable strategies. https://www.restack.io/p/twitch-streaming-ai-tools-answer-chat-bot-spam https://tribune.com.pk/story/2519237/meta-plans-to-populate-its-social-media-with-ai-generated-bots-for-engagement

• Web Result 3: Talks about social media algorithms promoting divisive content due to engagement metrics, which indirectly relates to how spam bots can manipulate visibility through likes, affecting what content gets seen. https://zapier.com/blog/best-social-media-management-tools/

• Web Result 4: Defines spam bots and their activities, emphasizing their prevalence on social media, which aligns with the user's experience. https://www.quora.com/How-can-one-report-the-use-of-bots-on-social-media-platforms-like-Facebook-Twitter-or-Instagram

• Web Result 5: Reviews machine learning techniques for detecting social media bots, highlighting the ongoing battle between bot creators and detection technologies. https://www.testingcatalog.com/combatting-bot-spam-on-twitter-effective-strategies-unveiled/

• Web Result 6: Offers solutions for automatically blocking Instagram spam bots, suggesting that similar automated tools could be beneficial for X users. https://targetinternet.com/resources/social-media-spam-bots-and-fake-engagement

• Web Result 7: Explains what spam bots are and their impact, reinforcing the issue's seriousness and the difficulty in managing them. https://www.theseventhsense.com/blog/how-spam-filters-work-and-how-to-stop-emails-going-to-spam

Conclusion: @R34lB0rg's post highlights a significant issue with spam bots on X, affecting content visibility through algorithmic manipulation. The user's frustration is evident, and while they've taken steps like reporting and blocking, the problem persists due to the continuous creation of new bots. The related web results provide a broader context, suggesting that this is a widespread issue across social media platforms, with ongoing development in AI and machine learning to combat it. For X to improve user experience, implementing more sophisticated AI-driven moderation tools or refining their algorithms to better distinguish between genuine and bot-generated engagement could be crucial.