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This is especially true for dating practices, which have been revolutionized by the internet and translated into huge business with millions of users each day logging on to online dating sites in search of potential mates.
For many, online profiles on sites such as Facebook and Instagram contribute as much to their social lives as their real-world interactions.
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We designed a binary task mimicking the selection interface currently popular in online dating websites in which observers typically make binary decisions (attractive or unattractive) about each face in a sequence of unfamiliar faces.
Our findings show that binary attractiveness decisions are not independent: we are more likely to rate a face as attractive when the preceding face was attractive than when it was unattractive.