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Being a bookworm doesn't have to break the bank. Here are the best places to download free books for your Kindle so you can fall in love with reading over and over again. Our editors and experts handpick every product we feature. We may earn a commission from your purchases.

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Being a bookworm doesn't have to break the bank. Here are the best places to download free books for your Kindle so you can fall in love with reading over and over again. Our editors and experts handpick every product we feature. We may earn a commission from your purchases.

Being a bookworm doesn't have to break the bank. Here are the best places to download free books for your Kindle so you can fall in love with reading over and over again. Our editors and experts handpick every product we feature. We may earn a commission from your purchases.

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Related I made a fake Tinder profile with a male model, and I got away with far more obscene suggestions, and far more matches, than with my real profile, and now I feel awful. I'm not even ugly, just average. Is Tinder just made for the hottest people?

Related I made a fake Tinder profile with a male model, and I got away with far more obscene suggestions, and far more matches, than with my real profile, and now I feel awful. I'm not even ugly, just average. Is Tinder just made for the hottest people?

Related I made a fake Tinder profile with a male model, and I got away with far more obscene suggestions, and far more matches, than with my real profile, and now I feel awful. I'm not even ugly, just average. Is Tinder just made for the hottest people?

*See: http://www.news.cornell.edu/stories/2011/07/cornell-computers-spot-opinion-spam-online-reviews. **Mukherjee, A.; Venkataraman, V.; Liu, B.; Glance, N. What Yelp Fake Review Filter Might Be Doing? International AAAI Conference on Web and Social Media, North America, jun. 2013. Available at: http://www.aaai.org/ocs/index.php/ICWSM/ICWSM13/paper/view/6006. Accessed: 27 August 2019. In order to detect and remove fake reviews, we have a technical team dedicated to building and refining unique fraud detection software. And we're always working to improve it. We can't reveal exactly how our software works because that would defeat its purpose. What we can tell you is that it runs independently, 24/7 across our platform, examining a large range of different behavioral parameters - such as, for example, IP addresses. The system then uses an algorithm to calculate the likelihood that reviews are fake. This is represented by a 'fake score'.