2010
DOI: 10.1093/esr/jcp068
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Who Contacts Whom? Educational Homophily in Online Mate Selection

Abstract: Data from an online dating platform are used to study the importance of education for initiating and replying to online contacts. We analyse how these patterns are influenced by educational homophily and opportunity structures. Social exchange theory and mate search theory are used to explain online mate selection behaviour. Our results show that educational homophily is the dominant mechanism in online mate choice. Similarity in education significantly increases the rate of both sending and replying to initia… Show more

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Cited by 143 publications
(128 citation statements)
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“…In this case, filtering went beyond appearance into other identity factors, such as perceived education level and indicators of socio-economic status. Unlike traditional dating websites that often ask for height, weight, race, or education level (Hancock et al, 2007;Lin & Lundquist, 2013;Skopek et al, 2011), there are often no other indicators beyond a few photographs and a few words of text. This allows a different perspective on Tinder: Impression management is focused on that brief moment where one decides whether to swipe right or left.…”
Section: Conclusion and Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…In this case, filtering went beyond appearance into other identity factors, such as perceived education level and indicators of socio-economic status. Unlike traditional dating websites that often ask for height, weight, race, or education level (Hancock et al, 2007;Lin & Lundquist, 2013;Skopek et al, 2011), there are often no other indicators beyond a few photographs and a few words of text. This allows a different perspective on Tinder: Impression management is focused on that brief moment where one decides whether to swipe right or left.…”
Section: Conclusion and Discussionmentioning
confidence: 99%
“…Best and Delmege find that in an online dating environment that offers a 'plethora of choice … filtering strategies are adopted spontaneously and refined conscientiously by participants ' (2012, p. 253). This process is often more complex on dating websites, in which users are allowed to additionally screen potential matches on height and weight (Hancock, Toma, & Ellison, 2007), race (Lin & Lundquist, 2013), and education level (Skopek, Schulz, & Blossfeld, 2011).…”
Section: Minimal Filtering Processmentioning
confidence: 99%
“…Homophily can also affect whether information flows easily from one group to another or is instead impeded (e.g., Golub and Jackson (2012)). These effects can have pronounced implications across a range of important applications including access to employment opportunities (Granovetter (1974), Calvó-Armengol and Jackson (2004Jackson ( , 2007, Ioannides and Datcher-Loury (2004), Jackson (2007), Bayer, Ross, and Topa (2008), Beaman (2012), Gautier and Holzner (2013), Rubineau and Fernandez (2015), Battu, Seaman and Zenou (2011), Zenou (2013), social mobility (Calvó-Armengol and Jackson (2009), Munshi and Rosenzweig (2009)), marriage markets (Skopek, Schulz, and Blossfeld (2011)), health behavior (Centola (2011)), and educational achievement (Calvó-Armengol, Patacchini and Zenou (2009)). For example, in the labor market, homophily isolates workers of one ethnicity from workers of another ethnicity, which then limits the extent to which individuals in one group hear about openings and opportunities known to the other group.…”
Section: Characteristics Of Nodes and Macro Patterns Of Interaction: mentioning
confidence: 99%
“…Further, a well-established positive relationship between socio-economic status and academic achievements [11] explains the fact that educational preferences follow the same gender patterns as socioeconomic status, and are much more critical for women [56] All in all, men are much less demanding with respect to their mate's education and willingly contact women with a lower academic degree [31] [36] [60]. However, men are not attracted by women's intelligence when it surpasses their own [31].…”
Section: Table 3 Motivation Of Online Datersmentioning
confidence: 99%