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Lead author Eli Finkel, Associate Professor of Social Psychology at Northwestern University, recognizes that "online dating is a marvelous addition to the ways in which singles can meet potential romantic partners," but he warns that "users need to be aware of its many pitfalls." Many online dating sites claim that they possess an exclusive formula, a so-called "matching algorithm," that can match singles with partners who are especially compatible with them.But, after systematically reviewing the evidence, the authors conclude that such claims are unsubstantiated and likely false.For more information about this study, please contact: Eli J Finkel at [email protected] Science in the Public Interest is a journal of the Association for Psychological Science.Unheard of just twenty years ago, online dating is now a billion dollar industry and one of the most common ways for singles to meet potential partners.Many websites claim that they can help you find your "soulmate." But do these online dating services live up to all the hype?We also use this information to show you ads for similar films you may like in the future.Like Oath, our partners may also show you ads that they think match your interests.
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"To date, there is no compelling evidence that any online dating matching algorithm actually works," Finkel observes.
"If dating sites want to claim that their matching algorithm is scientifically valid, they need to adhere to the standards of science, which is something they have uniformly failed to do.
Not exactly, according to an article to be published in a forthcoming issue of Psychological Science in the Public Interest, a journal of the Association for Psychological Science.
In the article, a team of psychological scientists aims to get at the truth behind online dating, identifying the ways in which online dating may benefit or undermine singles' romantic outcomes.
In fact, our report concludes that it is unlikely that their algorithms can work, even in principle, given the limitations of the sorts of matching procedures that these sites use." The authors suggest that the existing matching algorithms neglect the most important insights from the flourishing discipline of relationship science.