Both Bing and Google are dead serious that search engine users want a search that is more social, that weaves recommendation's, likes and personal messages into the results. This change is happening right now, as both Bing and Google are already adding social recommendations in their search results.
The two search engines may promote results to the first page simply because they have been "liked" by a person from the searcher's social circle.
But are those likes and recommendations always helpful? That's highly doubtful. Even worse, what if you see recommendations that you never wanted to get in first place? Here is a top 8 of recommendations and likes that you do not want to see, ever in the search results.
Want some examples? How about finding out that your dad has a thing for BDSM and your mom loves that sex store around the corner? How about a husband that recommends a divorce attorney website, or a friend who is liking hemorrhoid treatment websites?
Still not convinced? How about finding out that your fiancee likes an ex-con forum, that your parents like a site where people file for bankruptcy or that your wife likes a forum where parents discuss cuckold childs?
There are many possibilities where likes and recommendations can backfire. You obviously do not get recommendations for something from your social circle if a person of that circle has not "liked" a page or site. And it means at the same time that you need to search for a similar theme or topic to find those recommendations in the search engines.
Another aspect that needs to be considered is that you may see those recommendations and likes on the social networking site as well. Even if you do not search for it, you may see it in your dashboard there.
This suggests that it is not inherently a issue brought up by the search engines. They may however act as catalysts.
For now, all you need to do to avoid getting those recommendations is to avoid logging in while searching on Bing or Google. The likes are tied to your account. In the future, search engines might use all recommendations to present sites to you even if you are not logged in or use social networking sites like Twitter or Facebook at all. You may not see people you know then in the search results, but you may get a message like "15% of all users recommend xyz" or something like that.
What about you? Do you think there need to be boundaries when it comes to displaying likes and recommendations? If so, what are they?
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Ghacks is a technology news blog that was founded in 2005 by Martin Brinkmann. It has since then become one of the most popular tech news sites on the Internet with five authors and regular contributions from freelance writers.