Online dating university

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It's hard enough to make friends in college. But what about dating? A survey found that most college students use dating apps. So what are the best dating apps for college students? While one dating app dominates the scene, many others rank among the best college dating apps.

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Love it, hate it, make fun of it, but we all know it—and a good majority of us have it. Working with their college student demographics, Tinder has created a new feature on the app: Tinder University, where you can verify your student email and match with other students around you. Tinder has continually added features like being able to include your favorite song, your Spotify top hits, and even your Instagram, but their newest feature is one that I think I can get behind. When I first got Tinder, I just laughed at it and used it as a fun way to procrastinate. My best matches have been with other students, so this option is one I can see many students using. The premise of the app is still the same, anyone over 18 can create a profile with criteria based on age range, sexual orientation and proximity of matches.

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Psychology Laboratory in Psychology is a capstone class for psychology majors and minors. The main goal of the course is the completion of an independent research project, which the student develops themselves from idea to data analysis over the course of the semester. The instructional team is led by faculty member Dr. Melanie Palomares and dedicated graduate students. Students were encouraged to develop a study based on their personal interests such as social media, interpersonal relationships, or exercise. Following certification in human subjects training, the students collected data by deploying surveys and assessments to their target demographic.

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I tried Tinder University so you don’t have to

A new study has found that algorithms used by online dating platforms have popularity bias - meaning that they recommend more popular, attractive users over less popular, less attractive users. They evaluated data from over , users of a major online dating platform in Asia over three months. They found that a user's chance of being recommended by the platform's algorithm increased significantly as their average attractiveness score went up. This suggests the algorithm is biased toward recommending users who are more popular or considered more attractive on the platform. Users join online dating platforms to find matches, but the companies creating the platforms also need to generate revenue.

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