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| author | Peter Stone <thepeterstone@gmail.com> | 2026-11-13 19:56:19 +0000 |
|---|---|---|
| committer | Peter Stone <thepeterstone@gmail.com> | 2026-11-13 19:56:19 +0000 |
| commit | 7374edc0773988ac3de4d0480a1005d5d1c8cd6d (patch) | |
| tree | 9080e5bc1fcc9d2a443c2cdb77c035df13065ec3 /app/src/main/java/org/terst/feedreader/data/Settings.kt | |
| parent | 17643797517693664e6d4f5e5911b9855d6c484b (diff) | |
"Remove giant Google icon", reported on a West Hawaii Today article. It is the
"Add as a preferred source on Google" badge that sits beside the byline. Giant
because the page caps it at 120px with its own stylesheet and the reader drops
the page's CSS, so a small badge on the site becomes a full-width image above
the first paragraph.
Matched on the link's address rather than the class, and that is forced rather
than preferred: running the vendored Readability.js over the real page shows
the wrapper's preferred_source_badge class does not survive extraction at all,
so a class rule would match nothing. The anchor does survive, and its address
is Google's own and identical for every publisher in the programme -- where the
badge's image filename sits under this newspaper's theme directory and is not.
So the address is both the only signal left and the one that generalises.
A link with words in it is never touched. An article may discuss the programme
and link to it in a sentence, and that sentence is the author's.
Both cleaners now run from one entry point. There are two places a body is
cleaned -- a fresh extraction on the way out, a cached one on the way back in --
and a cached article is cleaned in place rather than discarded, so a cleaner
wired into only the fresh path would leave every already-read article carrying
litter nothing would ever remove. Peter's report says the article was cached,
which is exactly that case.
Pinned against the real thing: the reported article, put through the real
extractor, loses the badge and keeps its text and byline.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_018AwnALZL6bD4VBtATDVv3B
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