Interesting challenge! Here is a couple of ideas, some of which are bit wild, maybe.

To identify and characterise the place from its tags

• Check if there are clocks and bells
• How many entrances and entrance types, material, or mechanism (f.ex. glass doors)

To assess the significance of the place

• Interpret surrounding micro-mapping as a sign of importance (footways, recycle bins, benches, etc.)
• Assess for proximity / density with other places of worship
• Assess the vulnerability / exposure by the proximity from high-speed roads or administrative borders (based on NCC scenario and intelligence)
• Assess the importance of the place for its proximity from large infrastructure (parking, shopping malls, etc.)

For the data quality

• Evaluate whether a MapComplete theme could provide with a more comprehensive experience than MapRoulette
• Develop Panoramax image recognition to recognize places from street level imagery (although coverage is very limited over here so far and I don’t know if it can easily be trained to recognize such places)
• Cross-check with open data sources:
  • For places with Wikidata, Wikipedia, or Wiki Commons resource tags, analyze the quantity of data attributes, page length, number of alternate languages, etc
  • Analyze the Wikidata info (type and number of attributes, number and length of Wikipedia pages and translations)
  • For places with a website tag, analyze the website with an LLM to understand if the site is just a historical description or a formal website with opening hours, ceremonies information, etc
  • Process Wikimedia commons pictures through image recognition
  • Cross-check with governmental open databases based on name, geolocation or heritage reference number

On the long-run

• Update the Wiki to guide mappers into better factually tag places

Hope this helps.

Way to go! Keep going!

Great move! Glad to see an avid data contributor on board.

As you mention Telegram in your profile, you might like to join the OpenStreetMap channels on Telegram: osm.wiki/List_of_OSM_centric_Telegram_accounts.

And as you’re on Twitter, you might like to join the OpenStreetMap instance on Mastodon: osm.wiki/Mastodon.