For example, train a model(s) by reading every single article (including paywall/cache replacement) of https://www.techmeme.com/river https://www.mediagazer.com/river https://www.memeorandum.com/river https://www.wesmirch.com/river https://ballbug.com/river and comparing it to the summary headline.
There's a dataset that would help there.
https://www.businessinsider.com/techmeme-growth-2014-3
The river is the reverse chronological order similar to https://hckrnews.com
If you go back to the main page of tech meme, and hover over a story an arrow will appear on the left. Click it to see follow up stories to the first story.
The first two techmeme and mediagazer at least, do headline rewriting to debuzzfeed/deupworthy clickbait headlines. https://finance.yahoo.com/news/aggregators-attack-techmeme-h... https://www.poynter.org/reporting-editing/2015/techmeme-is-p...