The Conversation Canada
📰 The Conversation (academic)
Jun 21, 2026
· 5 min read
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How AI prompting turned writerly description into an everyday skill
Original article ↗B.I.A.S. ANALYSIS
CENTER
LEFTCENTERRIGHT
Signal breakdown
Heuristic (v1/v3)
0.00 · CENTER
ML v2 (DistilBERT)
0.265 · RIGHT
Ensemble
0.133 · CENTER
🏦 Source Intelligence
Rolling outlet bias
CENTER
avg -0.066
158 articles tracked
7-day bias trend
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Article Excerpt
To generate a satisfactory AI image, we must do for a machine what novelists have done for readers: translate objects, spaces and moods into words. A person on their device next to a statue of novelist Virginia Woolf. (Matt Brown/Flickr/Wikimedia), CC BY
How AI prompting turned writerly description into an everyday skill
Published: June 21, 2026 8.37am EDT
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You are sitting at your computer, interacting with a generative AI model like ChatGPT Image or Midjourney. You have a distinct picture in your mind, and you begin with a simple, general prompt: a chair in a coz…
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How we scored this article
WTF uses a two-tier system: every article gets a heuristic bias score from keyword analysis, and priority articles (high overlap across 3+ outlets or strong heuristic signal) get full LLM analysis from B.I.A.S. and V.E.R.I.F.Y.
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quick v1 + full
Jun 21, 2026