I wrote When Dating Sites Lie last August when OkCupid got in trouble for manipulating search results and not exactly coming clean to users until after the fact. Jaron Lanier recently discussed whether machine learning systems like Netflix recommendations, Facebook’s newsfeed, Google search etc are manipulative: “There’s no way to tell where the border is between measurement and manipulation.”
New Stanford research finds computers are better judges of personality.
According to Kosinski, the findings reveal that by mining a person’s Facebook “likes,” a computer was able to predict a person’s personality more accurately than most of their friends and family. Only a person’s spouse came close to matching the computer’s results.
Via New Stanford research finds computers are better judges of personality.
The UniformDating Icebreaker is designed to help users to break the ice and have fun, includes a mix of generic chat up lines as well as some tailored to uniformed professionals that they hope users find amusing.
A small Australian-based startup has launched a series of companion apps for Tinder – the most significant of which is called Match Genie. The “killer feature” of Match Genie is that it can (using a statistical analysis method they have devised) show you who on Tinder has actually already like you – meaning you can browse these potential matches at your leisure and instantly match with any that you choose. It also lets you browse profiles without the need to either ‘like’ or ‘reject’ up-front.
A Dating App, Happn, to Find a Match Nearby.
ThinkUp Helps the Social Network User See the Online Self: ThinkUp, a year-old subscription service that analyzes how people comport themselves on Twitter and Facebook, with the goal of helping them become more thoughtful, less reflexive, more empathetic and more professional — over all, better behaved.
Anomo is a new anonymous matching app that can successfully predict the chances of two people carrying on a successful online chat session. Over the past 12 months, we’ve analyzed over 30 million “get-to-know-you” ice breaker questions that people have answered on our app. These are multiple choice questions like “what color makes you feel the best”. With this data, we built an algorithm that can predict and match two people. We are not making crazy claims like being able to predict successful marriages or personality compatibility like eHarmony or Match.com. We are simply saying that we can predict the likelihood of two individuals having a successful online chat session or not. The other nice part about our app is that there is no “dating” pressure. People use our app to initiate friendships and meet new people with common interests.
