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    The site has helped many, many people find love on and off the web. The photos are stunning, perhaps professionally taken or provocative, but the description of what she's looking for in a partner is vague. Of course, they didn’t approve of a Blossom boy dating a Cooper girl.


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    A friend of mine whom I hadn’t seen in years told me recently that she, too, met her husband on an Internet dating site.

    They’re happily married, just moved into a new house, and are now talking about starting a family.

    "Success in marriage is largely about how you negotiate differences, not just compatibility," she told AFP, adding that online dating can raise expectations and result in greater unhappiness.The extensive new study published in the journal sought to answer some critical questions about online dating, an increasingly popular trend that may now account for 1 out of every 5 new relationships formed: fundamentally, how does online dating differ from traditional, face-to-face encounters?And, importantly, does it lead to more successful romantic relationships? Let Me Tweet the Ways) For their 64-page report, the authors reviewed more than 400 studies and surveys on the subject, delving into questions such as whether scientific algorithms — including those used by sites like e Harmony, Perfect Match and Chemistry to match people according to similarities — can really lead to better and more lasting relationships (no); whether the benefits of endless mate choices online have limits (yes); and whether communicating online by trading photos and emails before meeting in person can promote stronger connections (yes, to a certain extent).Of those who did not meet online, nearly 22 percent met through work, 19 percent through friends, nine percent at a bar or club and four percent at church, the study said. When researchers looked at how many couples had divorced by the end of the survey period, they found that 5.96 percent of online married couples had broken up, compared to 7.67 percent of offline married couples.The difference remained statistically significant even after controlling for variables like year of marriage, sex, age, education, ethnicity, household income, religion and employment status.

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