Amanda Rosenfeld Butler University
Faculty Sponsor(s): Raymond Giesler Butler UniversityMost of the literature available surrounding online dating revolves around what makes a profile more desirable. However, little research has been done examining why someone can be drawn to an adverse profile (i.e. a profile containing clear ’red-flag’ traits). This study will analyze how two types of external influence, recommendations provided by a computer algorithm and consensus information provided by peers, interact to affect judgement in the context of using a dating application to choose hypothetical romantic partners. The romantic experience level of each participant will also be analyzed to see if lack of experience moderates how much individuals rely on external information when choosing hypothetical romantic partners. Ultimately, it is predicted that participants who view positive comments left by other peer users and who are told they are mathematically a good match via computerized algorithm will be more likely to overlook red-flag traits when identifying potential romantic partners. These two external influences were chosen because one is social in nature (i.e. consensus information) and the other is non-social (i.e. computer algorithm). Furthermore, it is predicted that participants with higher levels of romantic experience will be less likely to choose profiles containing red-flag traits. This study is currently undergoing data collection. The findings of this research may provide critical insights into the processes that drive individuals into making poor decisions in the context of mate selection.
When & Where
Pharmacy & Health Sciences 204