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Netflix and Bill? You Can Actually Get Paid to Watch Netflix Netflix spokesperson Betsy Sund, explained to TIME in 2014, "We have a couple hundred different categories ([e.g.] perilous situations, race against time, darkness of humor, etc.) in which our taggers can dissect content. Some of the tags are scalar (for level of comedy/action/chase scenes, etc.), and others are categories of terms we've vetted ourselves (including cerebral, light-hearted, rebellious, etc.), while others are specific to characters and/or directors."
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For me, it would be great if everyone would stop worrying about whether a review is fake or not. From the user experience point of view, I'd rather have reviews tagged as useful or not, personalized to my past history of review tagging. In machine learning, this is a somewhat easier problem to solve. Users tag reviews as useful or not and post their own reviews. ML algorithm takes this data and can then tag other reviews with a score, 0-100% useful to me, the user. This is easier than spotting fake reviews; we may have to guess whether a review is fake, but we know whether I tagged a review as useful, so the data going into the algorithm is certain. Other users' useful tags would not be used, or weighted far less heavily, than my useful tags, so gaming the system would be harder.
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For me, it would be great if everyone would stop worrying about whether a review is fake or not. From the user experience point of view, I'd rather have reviews tagged as useful or not, personalized to my past history of review tagging. In machine learning, this is a somewhat easier problem to solve. Users tag reviews as useful or not and post their own reviews. ML algorithm takes this data and can then tag other reviews with a score, 0-100% useful to me, the user. This is easier than spotting fake reviews; we may have to guess whether a review is fake, but we know whether I tagged a review as useful, so the data going into the algorithm is certain. Other users' useful tags would not be used, or weighted far less heavily, than my useful tags, so gaming the system would be harder.
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"Research shows that it is "safer" to be open and honest about our struggles, deficits, and anxieties with "online buddies" than with people we see on a regular basis. When we share intimate information and reveal information that is less than flattering or even personally damaging to individuals we know only through virtual connections, we don't have as much shame as we might if we opened up with friends face-to-face. We feel less exposed when we hide behind the keyboard." RentaCyberFriend offers yet another take on the virtual friend experience, entirely different to the other two we've looked at.
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