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Vision Zero Reporting is on a mission to improve the way journalists report car crashes

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Here's a natural language processing (NLP) tool for identifying crash reporting anti-patterns:

https://visionzeroreporting.com/

I just tried it on https://road.cc/content/news/police-officer-knocked-bike-motorist-poor-eyesight-286983 and it gave a B rating despite having no problems.

A recent BBC article https://www.bbc.co.uk/news/uk-england-kent-58823732 gets a C with only one problem (the focus of "cyclist collided with a green Vauxhall Corsa").

Also, came across an interesting link in the discussion on Hacker News (https://news.ycombinator.com/news): https://usa.streetsblog.org/2020/03/05/streetsblog-101-how-journalists-help-build-car-culture/

If you're new please join in and if you have questions pop them below and the forum regulars will answer as best we can.

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chrisonabike | 3 years ago
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Good picture! Always good to be reminded of the importance of language - the reason politicians and PR agencies exist. It must be difficult to tackle in news because effectively you've got to take the media on in their own organs - and they're playing for attention, not necessarily "the truth".

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hawkinspeter replied to chrisonabike | 3 years ago
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This dovetails nicely with this article from back in May: https://road.cc/content/news/road-traffic-collision-reporting-guidelines-launched-283429

After trying the tool on a couple of reports, it does seem flawed when counting repetitions where lines from the article are repeated under photos etc, though that may be due to my sloppy copy and pasting.

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