Computational Courtship: Understanding the Evolution of Online Dating through Large-scale Data Analysis

Have we become more tolerant of dating people of different social backgrounds compared to ten years ago? Has the rise of online dating exacerbated or alleviated gender inequalities in modern courtship? Are the most attractive people on these platforms necessarily the most successful? In this work, we examine 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. While other studies have investigated disparities in user behavior between male and female users, this study is unique in its longitudinal approach. Specifically, we analyze how men and women differ in their preferences for certain traits in potential partners and how those preferences have changed over time. The second line of inquiry investigates to what extent physical attractiveness determines the rate of messages a user receives, and how this relationship varies between men and women. Thirdly, we explore whether online dating practices between males and females have become more equal over time or if biases and inequalities have remained constant (or increased). Fourthly, we study the behavioural traits in sending and replying to messages based on one's own experience of receiving messages and being replied to. Finally, we found that similarity between profiles is not a predictor for success except for the number of children and smoking habits. This work could have broader implications for shifting gender norms and social attitudes, reflected in online courtship rituals. Apart from the data-based research, we connect the results to existing theories that concern the role of ICTs in societal change. As searching for love online becomes increasingly common across generations and geographies, these findings may shed light on how people can build relationships through the Internet.Comment: Preprint, under revie

Ten Years of Community Profiles in New Hampshire

Through a program called Community Profiles, the University of New Hampshire Cooperative Extension has helped 57 New Hampshire communities develop a vision for their future and mobilize local residents to act on that vision. The Community Profile process is based on the premise that communities must engage members in identifying and documenting common and deeply held values from which to craft a vision for the future if they are to build and sustain community vitality. The process also helps communities find new and creative ways to pursue that vision by leveraging resources within and outside of the community. These resources include individual skills, local organizational capacity, and local, state, and regional institutional-support structures. Since creating and pursuing a vision is a challenge for communities that often rely on volunteers, the Community Profiles program was conceived to help them achieve these functions. Community Profiles is, in essence, a process that enables community residents to take stock of current conditions, build a collective set of goals for their future, and develop an action plan for realizing that vision. In the past 10 years, UNH Cooperative Extension has helped nearly a quarter of the state’s incorporated cities and towns conduct Community Profiles. This retrospective shares with our stakeholders the various successes that communities have had as a result of the process. This publication was inspired by stories emerging from Community Profiles conducted between 1996 and 2006 in 42 communities. The communities selected for this report were either particularly successful at carrying out the Community Profiles process, or they achieved positive outcomes as a result of the process. Through this report we will tell their stories and illustrate how these and other communities can work together to shape their future through persistence, creativity and teamwork

Online Dating Profile Analysis: The Intersection of Identity, Gender & Religion

According to standpoint theory, individuals experience the world based on the social groups that they belong to. Using this theoretical lens, my content analysis compared how gender and religion were conveyed on the user profiles of three online dating sites: JDate.com, ChristianMingle.com and OkCupid.com. In my initial reading of data, I used inductive thematic analysis to distinguish 7 categories of words and 7 categories of photographs that were relevant to portrayals of gender and religion. These categories were then analyzed through frequency counts by adding the total number of word types and photograph types used by men and women on each site. Findings showed an emphasis on religious cultural background on ChristianMingle.com. Gender roles were supported overall with male emphasis on career and sports and female emphasis on attractiveness and care