Abstract: In one embodiment, a method executed by at least one processor includes receiving text from submitted by a user. The method also includes determining a text score for the received text by comparing a first set of phrases included in the received text to a second set of phrases. The second set of phrases includes phrases from stored text. The stored text includes stored text known to be genuine and stored text known to be fraudulent. The method also includes determining that the received text is fraudulent based on the text score.

Abstract: In one embodiment, a method executed by at least one processor includes receiving an image associated with a user and analyzing, by the at least one processor, the image. The method also includes determining a set of colors of the image based on the analysis of the image and generating a representation of the image based on the determined set of colors. The method further includes comparing the representation of the image to one or more stored representations of a first set of images. The stored representations of the first set of images are based on sets of colors of the first set of images. The first set of images are associated with known users. The method also includes, in response to comparing the representation of the image to the one or more stored representations of the first set of images, determining that the user is a suspected fraudulent user.

Abstract: In one embodiment, a method executed by at least one processor includes receiving an image associated with a user and analyzing, by the at least one processor, the image. The method also includes determining a set of colors of the image based on the analysis of the image and generating a representation of the image based on the determined set of colors. The method further includes comparing the representation of the image to one or more stored representations of a first set of images. The stored representations of the first set of images are based on sets of colors of the first set of images. The first set of images are associated with known users. The method also includes, in response to comparing the representation of the image to the one or more stored representations of the first set of images, determining that the user is a suspected fraudulent user.

Abstract: In one embodiment, a method executed by at least one processor includes receiving text from submitted by a user. The method also includes determining a text score for the received text by comparing a first set of phrases included in the received text to a second set of phrases. The second set of phrases includes phrases from stored text. The stored text includes stored text known to be genuine and stored text known to be fraudulent. The method also includes determining that the received text is fraudulent based on the text score.

Abstract: A method for profile matching includes receiving a plurality of user profiles, each user profile comprising traits of a respective user. The method includes receiving a preference indication for a first user profile of the plurality of user profiles. The method also includes determining a potential match user profile of the plurality of user profiles based on the preference indication for the first user profile. The method also includes presenting the potential match user profile to a second user.