Gender-specific preference in online dating

@article{Su2019GenderspecificPI,
  title={Gender-specific preference in online dating},
  author={Xixian Su and Haibo Hu},
  journal={EPJ Data Science},
  year={2019},
  volume={8}
}
In this paper, to reveal the differences of gender-specific preference and the factors affecting potential mate choice in online dating, we analyze the users’ behavioral data of a large online dating site in China. We find that for women, network measures of popularity and activity of the men they contact are significantly positively associated with their messaging behaviors, while for men only the network measures of popularity of the women they contact are significantly positively associated… 

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References

SHOWING 1-10 OF 72 REFERENCES

"Where Have All the Good Men Gone?" Gendered Interactions in Online Dating.

Gendered patterns of online dating and their implications for heterosexual union formation are explored and it is found that both men and women tend to send messages to the most socially desirable alters in the dating market, regardless of their own social desirability.

The gendered dynamics of age preferences – Empirical evidence from online dating

Abstract This study uses innovative data from online dating to analyze men’s and women’s preferences regarding the age of a partner. These data include observations on how individuals behaved on

Gender Differences in Online Dating: What Do We Know So Far? A Systematic Literature Review

It is found that evolutionary theory generally holds true in online dating: Users still follow natural stereotypes when it comes to choosing a mate online, while women, being much more demanding, prioritize socio-economic attributes when choosing a male partner.

Computational courtship understanding the evolution of online dating through large-scale data analysis

This work examines the mate preferences and communication patterns of male and female users of the online dating site eHarmony over the past decade to identify how attitudes and behaviors have changed over this time period and connects the results to existing theories that concern the role of ICTs in societal change.

Preferences in the Early Stages of Mate Choice

Romantic partnership is often considered an optimal barometer of intergroup relations. To date, however, it has been challenging to distinguish the characteristics people prefer in a partner from the

Aspirational pursuit of mates in online dating markets

It is shown that competition for mates creates a pronounced hierarchy of desirability that correlates strongly with user demographics and is remarkably consistent across cities, and that strategic behaviors can improve one’s chances of attracting a more desirable mate.

Homophily in online dating: when do you like someone like yourself?

An analysis of dyadic interactions of approximately 65,000 heterosexual users of an online dating system in the U.S. showed that, despite these differences, users of the system sought people like them much more often than chance would predict, just as in the offline world.

Online dating preferences of Asian Americans

This study investigates the inter- and intraracial dating preferences of heterosexual Asian males and females as well as gay Asian males. Using data collected from 1270 Internet dating profiles,

Relationship Preferences Among Gay and Lesbian Online Daters: Individual and Contextual Influences

There is currently little knowledge about what gay men and lesbians seek in a romantic relationship. This study extends the literature on gay men and lesbians' partnership preferences by engaging in

Income Attraction: An Online Dating Field Experiment

We measured gender differences in preferences for mate income ex-ante to interaction (“income attraction”) in a field experiment on one of China's largest online dating websites. To rule out
...