Most of the examples I provided are due to differing country codes; their site fails to recognize things like Alphabet trading on a Mexican stock exchange is still the same company:
https://finance.yahoo.com/quote/GOOGL.MX/
$GOOGL.MX scoring differently than other $GOOGL listings makes me extremely skeptical that humans are diligently creating these scores (finance professionals should've recognized that secondary listings like $GOOGL.MX don't need their own scoring)
Scores on different exchanges may be due to varying behavior by international subsidiaries -- MSFT in Australia may be doing something objectionable that MSFT US does not do, for example. I'm not sure though.
What I think is more likely is that it's a dumb oversight in the web app and/or data - maybe an intern stubbed out international stocks and it got pushed to production
Secondary listings allow entire companies to trade on multiple exchanges (not just corresponding subsidiaries)
So I agree that it was likely just a mistake to list multiple listings of the same companies, but the fact that they usually receive different scores proves their process isn't diligent:
* $GOOGL.MX is dinged for multiple non-Mexico-specific violations that the other listing isn't
I think the pipeline between (1) and (2) is probably tight within the company (probably a few big Excel spreadsheets) and the (2) side has a lot of brains.
But the (1) side needs to do more work on the pipeline between those spreadsheets and the Web, and maybe hire more/better software dev help for that. They'd do better to use Postgres as their source of truth.
$GOOGL.MX scoring differently than other $GOOGL listings makes me extremely skeptical that humans are diligently creating these scores (finance professionals should've recognized that secondary listings like $GOOGL.MX don't need their own scoring)