According to @nic__carter, X consists mostly of ragebait content posted by foreign bot farms, raising concerns that X-derived social sentiment and engagement metrics may be noisy for crypto trading workflows; source: @nic__carter, Twitter post on Nov 23, 2025. @nic__carter’s post provides no quantitative evidence or dataset, indicating the claim is qualitative and unverified, so any trading adjustments should be based on independent validation; source: @nic__carter, Twitter post on Nov 23, 2025.

According to @sama, there are now many LLM-run accounts on X, pointing to increased AI-generated activity on the platform (Source: Sam Altman on X, Sep 3, 2025). For crypto traders, a higher bot load can distort social-sentiment signals used in trading models and dashboards (Source: Ferrara et al., The Rise of Social Bots, Communications of the ACM). Studies have linked Twitter sentiment and activity to short-horizon moves and volume in Bitcoin and other cryptocurrencies, making data integrity critical for BTC and ETH strategies (Source: Stenqvist and Lönnqvist, 2017; Phillips and Gorse, 2017). Regulators warn investors not to trade solely on social-media hype due to manipulation risks (Source: U.S. SEC Office of Investor Education and Advocacy, Investor Alert: Social Media and Investment Fraud). In practice, traders should prioritize signals from verified accounts, apply bot-detection screening, and cross-check with on-chain flows and order book depth to reduce noise from AI-driven accounts (Source: X Help Center, Verification; Indiana University OSoMe, Botometer; Chainalysis Market Intel, on-chain analytics notes).