Elon Musk’s X Steps Up Its War on Spam: 1.7 Million Bots Removed

Dwijesh t

In a major move to restore authenticity and user trust, Elon Musk’s social media platform X (formerly Twitter) has announced the removal of 1.7 million spam bots. The purge marks one of the platform’s most aggressive anti-spam operations since Musk’s takeover, signaling a renewed commitment to tackling fake engagement and improving platform integrity.

The eliminated bots were primarily responsible for reply spam, a widespread nuisance where automated accounts flood the comment sections of posts with irrelevant messages, links to scams, or deceptive promotional content. This problem has long plagued users, diminishing the quality of interactions and making legitimate engagement increasingly difficult to identify.

Massive Bot Purge

According to recent updates from the X team, the 1.7 million bots removed were part of a network that exploited the platform’s reply system to spread malicious or spam-related links. These bots often targeted high-profile accounts and viral tweets to amplify visibility, effectively hijacking engagement metrics and exposing users to scams.

Under Elon Musk’s leadership, X has made bot detection and removal a central part of its modernization strategy. Since Musk’s acquisition in late 2022, he has repeatedly emphasized his mission to eliminate “bot armies” and create a more authentic, human-driven social space. This latest cleanup operation shows measurable progress toward that goal.

Next Target: DM Spam

Following the successful removal of reply bots, X is now setting its sights on another major issue Direct Message (DM) spam.

Nikita Bier, X’s Head of Product, confirmed that the next stage of the anti-spam campaign will focus on eliminating DM bots that flood users’ inboxes with unsolicited messages, phishing links, and fake promotional offers. These DMs often impersonate brands or influencers to trick users into sharing sensitive information or clicking malicious links.

Bier explained that the platform is developing AI-driven moderation tools capable of identifying suspicious message patterns, detecting fake accounts faster, and blocking potential spam before it reaches the user’s inbox.

This step could mark a turning point for X, which has long faced criticism for allowing spam-filled DMs to thrive, particularly affecting verified and high-engagement users.

AI Moderation: The Future of Anti-Spam on X

In addition to manual cleanup operations, X is expected to deploy artificial intelligence and machine learning models to automate spam detection. These systems will be trained to recognize abnormal posting patterns, identify coordinated bot behavior, and flag accounts that repeatedly share scam content.

This AI-based approach could dramatically reduce human moderation workloads while increasing accuracy and speed in detecting spam activity. Moreover, Musk’s growing focus on AI within X aligns with his broader vision of transforming the platform into an “everything app” combining communication, content, payments, and real-time news under one digital ecosystem.

User Impact and Broader Implications

The removal of 1.7 million bots is already having visible effects on engagement metrics across the platform. Users are reporting cleaner reply sections, fewer scam links, and more genuine discussions under posts. For creators, brands, and influencers, this change could restore confidence in engagement numbers and reduce the spread of misinformation.

By shifting focus to DM spam, X aims to make its private messaging system safer and more reliable. The move also reinforces Musk’s stance on digital authenticity, a concept he has championed through verification initiatives and transparency updates.

X’s Anti-Spam Mission Gains Momentum

The latest crackdown underscores that Elon Musk’s X is serious about tackling spam and bot activity at its roots. The removal of 1.7 million bots is just the beginning, as the company now transitions to its next challenge cleaning up DM spam.

As the platform integrates more AI-driven moderation tools, users can expect a noticeable improvement in both public and private interactions. If successful, these efforts could help X regain its reputation as a space for authentic conversations, secure messaging, and trustworthy engagement setting a new standard for the future of social media moderation.

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