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I taught data journalism at the graduate school level (not to the OP) and I regularly used Google Sheets as a channel for hosting data, which were typically U.S. public datasets, like city crime reports, Census demographics, election results, etc. This is in addition to hosting CSV and .sqlite files on the class homepage and Github repo.

The reason why Google Sheets was so handy was because it's a great interface for data exploration. I could show students features about the data, and sort/filter/highlight, without having to distribute/create spreadsheet files. I guess if Google Sheets ends up being draconian with its content filters, I could link to Github-hosted CSVs, but it's not quite the same.

Haven't checked my classroom Google sheets recently, but if they're untouched, it might have helped that they were all set to public view. Maybe the flagging algorithm looks at private sheets with much more suspicion.



> Maybe the flagging algorithm looks at private sheets with much more suspicion.

You could be right, but jeez... shouldn't it be the opposite?


For sure no. If you are storing a trove of copyrighted movies, revenge porn, or child porn then you would for sure not have it marked for public access. Google clearly doesn’t want their storage to be used for these nefarious purposes but anyone who has tried to train a ML algorithm knows, false positives is the name of the game so they should really only be used in places where false positives do little to no harm.




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