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One of the overarching objectives of all college courses is to forge meaningful relationships between the texts on the syllabus. This highly adaptable activity playfully puns on the idea of "textual relationships" by setting up characters (or historical, religious, or political figures, nations, or ideologies) on blind dates.

This project has received funding from the European Research Council (ERC) under the European Union's Seventh Framework Programme (FP7-2007-2013) (Grant agreement No. 323727).

Our study examines attachment-related differences in the use of dating applications (dating apps). We collected online survey data regarding people's attachment orientation and dating app preferences. People with a more anxious attachment orientation were more likely to report using dating apps than people lower in anxious attachment; people with a more avoidant attachment orientation were less likely to report using dating apps than people lower in avoidant attachment. Participants who used dating apps cited Tinder, OkCupid, and Plenty of Fish as those most commonly used. The most common reason people reported for using apps was to meet others, and the most common reason people reported for not using apps was difficulty trusting people online. Our findings suggest that individual differences in attachment may be relevant for understanding online behavior, and that dating apps might be a fruitful avenue for future research on attachment-related differences.

AbstractIn this essay, I explore ethical considerations that might arise from the use of collaborative filtering algorithms on dating apps. Collaborative filtering algorithms can predict the preferences of a target user by looking at the past behavior of similar users. By recommending products through this process, they can influence the news we read, the movies we watch, and more. They are extremely powerful and effective on platforms like Amazon and Google. Recommender systems on dating apps are likely to group people by race, since they exhibit similar patterns of behavior: users on dating platforms seem to segregate themselves based on race, exclude certain races from romantic and sexual consideration (except their own), and generally show a preference for white men and women. As collaborative filtering algorithms learn from these patterns to predict preferences and build recommendations, they can homogenize the behavior of dating app users and exacerbate biased sexual and romantic behavior.

Meet, date, and start a relationship with Mr. or Ms. Right-after 50 Almost everyone associates falling in love with their younger years, but as the boomer generation ages, more and more people over 50 are jumping back into the dating scene for the first time (in a long time) and need advice and guidance on how the dating world (and ways to find a soul mate) have changed since they last tested the water. Dating After 50 For Dummies covers the gamut of topics for those dating after 50: the physical and emotional benefits of sex and relationships as we age; dating confidence boosters; dating sit