Partisan bot-like accounts continue to amplify divisive content on X

State of X and Bots

• Many see X as overrun by bots and divisive political content, likened to a nightclub of robots or old practices like paid crowds and claqueurs—“all that’s old is new again.”
• Some say this isn’t new; Twitter was already bad pre-acquisition and part of a broader trend of AI-enabled manipulation and election cycles.

Role of Musk and Platform Direction

• One camp argues Musk drastically worsened things: “drove the tanker truck of gasoline,” fired moderation “firefighters,” turned X into a larger Gab-like right‑wing echo chamber, and uses it as a personal political megaphone.
• Others argue he better grasps Twitter’s value as a messy but uniquely mixed public square, preferable to more sanitized, algorithmically soothing platforms.
• Some think X was always a celebrity/marketing site and its current trajectory was inevitable.

Free Speech, Harm, and Algorithms

• Debate over whether sexist/racist tropes and “off‑color” jokes should be allowed: some emphasize harm, “punching down,” and historical links between dehumanizing rhetoric and fascist violence (invoking the “Paradox of Tolerance”).
• Others counter that using this to justify speech controls is self‑contradictory and that many “divisive” comments are simply observations that elites say must not be voiced.
• Several distinguish between organic virality and algorithmic boosting of fringe accounts; some argue algorithmic engagement maximization inherently amplifies outrage.

Authenticity, Bot Detection, and Business Incentives

• Some note the report’s “bot‑like” wording and absence of a public account list, arguing this makes it hard to verify and suspecting conflation of anti‑progressive speech with disinformation.
• Others say bots pretending to be people are inherently bad regardless of viewpoint.
• Claims that large botnets should be trivially catchable meet counters that filters exist but are effectively disabled to inflate engagement metrics.
• There’s discussion of API paywalls, continued free automation allowances, and rampant spam on trending tags.

UK Riots and National Security

• Several link X’s misinformation ecosystem to recent UK race riots and frame this as a national security issue.
• Others argue the unrest reflects deeper immigration and governance grievances and broader social‑media dynamics, not just X.
• One detailed reply challenges this narrative, attributing riots to far‑right misinformation about a specific attack and disputing statistics about arrests and protester behavior, calling some claims misleading.

Alternatives and User Coping Strategies

• Some users report retreating to Threads, Mastodon, or curated tools; opinions on Threads range from “sweet spot” to “cesspool” similar to X.
• Power users describe heavy filtering: browser extensions, whitelists, muted words, and manual digests to strip out bots, ads, and algorithmic suggestions.
• Others argue that even if you clean your own feed, you can’t escape the real‑world impact of those influenced by the platform’s “dross.”

Government Influence and Bias Debates

• One side distrusts pre‑Musk Twitter for alleged government‑driven takedowns and liberal algorithmic bias, seeing current X as freer despite flaws.
• Another cites reports that X now complies more with government censorship requests and has reduced transparency about them.
• Disagreement persists over the scale and political lean of pre‑Musk bots; some claim mainly right‑wing botnets, others insist earlier bots were on “the other side.” The true distribution is left unclear in the thread.