You decide to download it, but you start feeling that it’s trying to manipulate you to pay for its premium features a bit too much. There are a lot of choices, so you keep asking your friend what’s the best option, and he immediately answers: Your popular friend tells you that you should try a dating app to meet someone new, and maybe you’re even going to get some “dancy dance” in a couple of days. It’s Christmas time, and you feel a bit lonely. For now, however, it might be wise to ease up on the Super Likes until results from the Super Likeable feature’s test run are in.10 dark tricks Tinder uses to manipulate you. Eliminating some of the mystery behind this urgent request for a date could transform the feature from a desperate plea to an attractive offer. Only time will tell if the injection of AI will help normalize the Super Like. AI could take the blame for the user’s eagerness to match and could help the recipient see the sender as an opportunist rather than a desperate dater. The likelihood that Tinder’s algorithm suggested the Super Like could help recipients understand the sender’s potential motives. Second, having more insight into the sender’s motives could reassure recipients. This will help more users send Super Likes which could, in turn, make the practice a bit more standard in the Tindersphere. First, senders will likely feel less reluctant to send a Super Like when the app suggests the idea and offers a free Super Like for additional encouragement. So how might this make the Super Like less creepy? Normalizing the Super LikeĪdding AI into the mix could help both senders and recipients of Super Likes feel a little more comfortable with the concept. Tinder says this artificial intelligence-powered experience will “delight and surprise” with its new approach to introducing users to people they might be interested in meeting. The Super Likeable feature is currently available in New York and Los Angeles. Tinder’s chief product officer stated in a recent WIRED article that “TinVec relies on users’ past swiping behavior, but that swiping behavior takes into account multiple factors, both physical and otherwise.” Tinder won’t divulge the exact workings behind the algorithm, but at the Machine Learning Conference in San Francisco earlier this year, the company announced the feature would be powered by a machine learning tool called TinVech. Learn the critical role of AI & ML in cybersecurity and industry specific case studies.
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March 2023
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