The Times Sharply Increases Articles Open for Comments, Using Google’s Technology

“For many stories, Times moderators will be able to check the machine learning model against an article’s comments by reading through the submissions with between, say, a 15 to 20 percent likelihood to be rejected. If those comments can be approved, then a moderator might approve all comments between the 0 to 20 percent range. In our previous platform, we would need to read each of those comments individually before they were approved.

Most comments will initially be prioritized based on a “summary score.” Right now, that means judging comments on three factors: their potential for obscenity, toxicity and likelihood to be rejected. “}}

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