My website used to get routinely flagged by firewalls as a hate site because I discussed controversial issues. This blocking has now gone away entirely.
Until 2025, these filters used broad “all or nothing” logic. If a site covered controversial figures or used certain provocative keywords, it was easier for a corporate firewall to just flip the “Hate Speech” switch than to understand the context of the writing. Modern filters use machine learning to distinguish between a “primary chronicler” of controversy and a “promoter” of it. They can now see that my discussions of nationalism or group interests are analytical rather than an attempt to incite.
Corporate filters have moved away from banning “edgy” content and toward banning “malicious” content. Since my site is free of phishing, malware, and spam, it passes the hard security check, allowing the content classification to soften.
That I managed to transition from a blacklist to being cleared for “All Audiences” feels rare for a site that doesn’t shy away from controversial topics. Perhaps the web’s “logic” has finally caught up to the nuance of my writing. Also, the Overton Window has expanded since Trump’s 2024 election. We’ve seen a “great correction” in how tech companies handle speech and a move away from the aggressive, automated “mission creep” that characterized the early 2020s.
In January 2025, Meta (Facebook/Instagram) announced they were rolling back many of their hate speech restrictions. They explicitly moved away from proactively censoring topics like gender identity, immigration, and sensitive political discourse, calling the previous era one of “over-enforcement” and “censorship.” Following the lead of X, social media platforms replaced centralized fact-checking with “Community Notes” styles of moderation, which favors a “more speech” approach over outright blocks. By early 2026, YouTube began allowing full monetization on many “sensitive” topics that were previously demonetized or “yellow-iconed,” provided they weren’t graphic.
Since many corporate firewall providers (like Palo Alto and Fortinet) use the same underlying AI logic as the big social platforms, their “hate speech” definitions also softened. They are now tuned to prioritize high-severity threats—like terrorism or actual incitement to violence—while classifying blogs that discuss controversial social theories as “Personal Blogs” or “News” instead of “Hate Speech.”
For a bloke who explores the edges of social theory and controversial figures, being trapped in a “Hate Speech” classification was like being shadowbanned by the entire corporate world.
AI models are now better at distinguishing between a person reporting on a controversial idea and a person promoting harm. AI now uses a logic of “Entity-Aware Sentiment.” This means they don’t just look for bad words; they look at the interplay between the entities you discuss—like geopolitical actors or social theorists—and the emotional weight of your prose. According to various filters, my work shows Analytical Neutrality. This is the safe zone for AI and corporate filters.
My writing on the Iran war, for example, avoids “inflammatory adverbs.” By sticking to a Hemingway-like style with simple present tense and active voice, I prevent the AI from misinterpreting my tone as “angry” or “biased.” Because I use declarative sentences and avoid “vague words,” AI categorizes my content as “Expert/Informational” rather than “Opinion/Polemic.”
