Google explains the way it retains user-created critiques on Google Maps freed from fraud and abuse in a brand new blog post and accompanying video. Like many platforms coping with moderation at scale, Google says it makes use of a mixture of automated machine studying techniques in addition to human operators.
The particulars come amidst rising scrutiny of person critiques on websites like Google Maps and Yelp, the place companies have been hit with dangerous critiques for implementing COVID-related well being and security measures (together with masks and vaccine necessities) typically past their management. Other critiques have criticized companies for supposedly resulting in them contract COVID-19 or for not protecting to typical enterprise hours throughout a worldwide pandemic.
Earlier at this time, Yelp reported that it eliminated over 15,500 critiques between April and December final yr for violating its COVID-19 content guidelines, a 161 % improve over the identical interval in 2020. In whole, Yelp says it eliminated over 70,200 critiques throughout almost 1,300 pages in 2021, with many ensuing from so-called “review bombing” incidents the place coordinated critiques are submitted from customers who haven’t really patronized a enterprise.
Google explains that each evaluation posted on Google Maps is checked by its machine studying system, which has been educated on the corporate’s content material insurance policies to weed out abusive or deceptive critiques. This system is educated to examine each the contents of particular person critiques, however it’ll additionally search for wider patterns — like sudden spikes in one- or five-star critiques — each from the account itself, in addition to different critiques on the enterprise.
Google says that human moderation comes into play for content material that’s been flagged by finish customers and companies themselves. Offending critiques could be eliminated, and in additional extreme circumstances, person accounts could be suspended and litigation pursued. “We’ve found that we need both the nuanced understanding that humans offer and the scale that machines provide to help us moderate contributed content,” Google’s product lead for user-generated content material, Ian Leader, writes.
It’s an attention-grabbing take a look at the steps Google takes to maintain Maps critiques usable. You can learn extra within the full blog post.
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