Data Centers Now Facing Backlash Over Contaminated Wastewater
The article, with notes
underlined: technique found; pick one to highlight its words tap a technique for why
“spreading across the country like a cancer”
↓Loaded Language · “spreading across the country like a cancer”Why ›
The simile 'like a cancer' is an emotionally charged comparison designed to trigger revulsion and fear rather than convey factual information about data center expansion.“very, very good at greenwashing”
↓Exaggeration/Hyperbole · “very, very good at greenwashing”Why ›
The phrase 'very, very good at greenwashing' uses emphatic repetition and absolute framing to overstate the claim without providing evidence.“very, very good”
↓Repetition · “very, very good”Why ›
The word 'very' is deliberately repeated twice in immediate succession to rhetorically amplify the accusation of greenwashing beyond what a single qualifier would convey.“what we're finding out is just the opposite”
↓Black-and-White Fallacy · “what we're finding out is just the opposite”Why ›
The sentence frames the situation as a binary: either the industry's rosy picture ('unicorns and rainbows') or 'just the opposite,' leaving no room for a nuanced middle ground.“end up being backwards and poor”
↓Appeal to Fear · “end up being backwards and poor”Why ›
The statement implies that rejecting datacenters will result in economic decline and backwardness, creating anxiety to override rational deliberation about the actual costs and benefits.“successful and rich, with far lower taxes and jobs all over the place”
↑Glittering Generalities · “successful and rich, with far lower taxes and jobs all over the place”Why ›
Vague, emotionally positive promises like 'successful and rich,' 'far lower taxes,' and 'jobs all over the place' are offered without any specific, verifiable substance.Analyzed 2026-09-10 04:03 UTC. Articles are sometimes updated after publication — if a quote here isn't in the current version, the piece has changed since.
Analyzed automatically with Semblen's fine-tuned model. These are rhetorical techniques, not political tilt — and finding one is not a claim that the article is false. Findings include language the outlet is quoting rather than asserting: we flag techniques wherever they appear, so check each quote against the original. The model has known false positives on strong-but-legitimate language, so treat each finding as a prompt to read closely, not a verdict. How articles are chosen →