Although many dating sites tout the superiority of partner matching through the use of “scientific algorithms,” the authors find that there is little evidence that these algorithms can predict whether people are good matches or will have chemistry with one another.
The authors’ overarching assessment of online dating sites is that scientifically, they just don’t measure up.
Although the authors find that online dating sites offer a distinctly different experience than conventional dating, the superiority of these sites is not as evident.
Reis (University of Rochester), and Susan Sprecher (Illinois State University) take a comprehensive look at the access, communication, and matching services provided by online dating sites.
At any rate, even if not all journals are affected considerably, the publication date should be the date of the actual publication, not a meaningless clerical tool that can be used at will to influence citation metrics.
While Krell’s position is sound, it is based on personal anecdote.
They make worse matches than just using a random site.
That’s because their matching criteria are hardly scientific, as far as romance goes.
How does the community itself influence the user’s experience of online dating?Behavioral economics has shown that the dating market for singles in Western society is grossly inefficient, especially once individuals exit high school or college, he explains."The Internet holds great promise for helping adults form healthy and supportive romantic partnerships, and those relationships are one of the best predictors of emotional and physical health," says Reis. Comparing dozens and sometimes hundreds of possible dates may encourage a "shopping" mentality in which people become judgmental and picky, focusing exclusively on a narrow set of criteria like attractiveness or interests.According to Marie Mc Veigh, Director of the Journal Citation Report (JCR) and Bibliographic Policy for Thomson Reuters, “We have no data to suggest that manipulating publication dates is influencing JCR metrics.” It’s very difficult to predict the citation pattern for an individual article, explained Mc Veigh.Shifting the window of observation one year forward or one year back can backfire.But the industry's claims to offering a "science-based" approach with sophisticated algorithm-based matching have not been substantiated by independent researchers and, therefore, "should be given little credence," they conclude.