Structure of Online Dating Markets in U.S. Cities

The rise of online dating and racial homogamy in marriage

The rise of online dating has the potential to transform marriage outcomes, as it may alter how individuals are matched with partners. To capture the population-level effects of the rise of online dating, we examine how changes in marital racial homogamy from 2008 to 2016 are associated with changes in online dating within local dating markets. We use data from Google Trends and the American Community Survey with fixed-effects regression models to control for differences across dating markets. Our results suggest that the rise of online dating has not substantially influenced trends in racial homogamy, either nationally or within metropolitan areas.

Sex Differences in Attention and Attitude Toward Infant and Sexual Images

Reproduction in mammals includes two general categories of behaviors: mating and parenting. Historically and cross-culturally, men invest more than women in mating; women invest more than men in parenting. Sex differences in attention and attitude toward mating and parenting stimuli have rarely been assessed together despite theoretical interest. To evaluate these differences simultaneously in a naturalistic setting, 582 study participants (459 women, 123 men) were presented with sexual and infant images, online in the privacy of their home, at three time periods spanning several weeks for a more reliable result. Attention was measured by covertly recording viewing time of images using Qualtrics software, and attitude was measured via self-report after each viewing session. Men reported a more positive attitude than women toward the sexual images; women reported a more positive attitude than men toward the infant images. Women viewed the infant images marginally longer than did men, and the infant-to-sexual viewing ratio was larger for women. The sexual-to-infant viewing ratio was larger for men than for women. Unexpectedly, both genders viewed the sexual images longer than the infant images, with no significant gender difference in the sexual image viewing time. The results suggest that women and men may give equal attention to visual sexual stimuli despite self-reported sex differences in interest. The possibly underestimated valence of visual sexual stimuli for women is discussed.

Internet access and partnership formation in the United States

The Internet has fundamentally altered how we communicate and access information and who we can interact with. However, the implications of Internet access for partnership formation are theoretically ambiguous. We examine their association using data from the National Longitudinal Survey of Youth (NLSY97) and Current Population Survey (CPS) in the United States. We find that the relationship between Internet access and partnership states (in the NLSY97) or partnership status (in the CPS) is age-dependent. While negative at the youngest adult ages, the association becomes positive as individuals reach their mid- to late 20s, for both same-sex and different-sex partnerships. The results suggest that Internet access is positively associated with union formation when individuals enter the stage in the young adult life course when they feel ready to commit to a long-term partnership. Our study contributes to a growing literature that highlights the implications of digital technologies for demographic processes.Supplementary material for this article is available at: https://doi.org/10.1080/00324728.2021.1999485.

Is Dating Behavior in Digital Contexts Driven by Evolutionary Programs? A Selective Review

In recent years, millions of citizens all over the world have used digital dating services. It remains unknown to what extent human sexuality will be changed by this. Based on an evolutionary psychological perspective, we assume that sexual selection shaped behavioural tendencies in men and women that are designed to increase the reproductive fitness. These tendencies are referred to as sexual strategies. Males and females sexual strategies differ according to sex-dimorphic reproductive investments. We assume that this inheritance will affect human sexuality also in a digital future. To evaluate this assumption, we conducted a selective review of studies on digital dating services. Based on sexual selection theory, we derived a number of hypotheses regarding how men and women will use digital dating services typically and how the use of digital dating services might affect sexual wellbeing. Out of an initial data set of 2,568 records, we finally reviewed a set of 13 studies. These studies provided support for the notion that men and women act in the digital dating area according to sex-typical strategies. However, sometimes the circumstances of digital dating affect communication flow, e.g., in that men are even more active in establishing contacts than they are in real world conditions. Overall, women appear to accomplish their sexual goals in digital dating arenas more than men do given a surplus of male demand. Our results suggest that future human sexuality will be impacted by an interaction of both: sex-dimorphic ancient sexual strategies and new technologies.

Classed Pathways to Marriage: Hometown Ties, College Networks, and Life after Graduation

Objective

This article identifies mechanisms through which social class background shapes the marital outcomes of college-going white American women.

Background

Scholars are interested in the relative influences of ascriptive and achieved characteristics on mate selection. Research indicates that social class background continues to influence the marriage patterns of college-educated Americans but does not identify the mechanisms through which this occurs.

Method

The study analyzes six waves of longitudinal interviews with 45 women from differing social class backgrounds. The first interview was conducted at age 18, when women started college at a Midwestern public university. The final interview was collected at age 30, and was supplemented by a survey collecting the income, education, occupation, and debt of women and their spouses.

Results

Women from privileged backgrounds were more likely to marry and married men who earned substantially more than the partners of less privileged women. Differences resulted from lifelong variation in social networks, originating in childhood. College did not interrupt long-standing exclusionary class networks. After graduation, social class background shaped where women moved, as well as with whom they worked and socialized.

Conclusion

Higher education in the contemporary US may reinforce rather than interrupt class homogamy in marriage, even when students attend the same schools. The role of higher education in shaping classed social networks is in need of further study.

Online activity of mosques and Muslims in the Netherlands: A study of Facebook, Instagram, YouTube and Twitter

Research on Muslim minorities in western societies has mainly focused on offline behavior, such as mosque attendance, whereas little is known about their presence in the online world. This study explores the online visibility and activities of all (478) mosques in the Netherlands. We collected data on personal websites and four social media platforms (Facebook, Twitter, Instagram and YouTube). The majority of mosques have a website (52%) and an account on Facebook (61%). Less often used are Twitter (17%), Instagram (17%) and YouTube (19%). On social media platforms, mosques strongly differ in their activity and number of followers. We find evidence to suggest that Salafist mosques, which tend to have a strict ideology, are more active on Twitter and YouTube, and also attract a larger share of followers on Facebook than non-Salafist mosques. Our more fine-grained analysis on Twitter shows that Salafist mosques in the Netherlands cluster together. Followers of Salafist mosques make up a community of users who are mainly connected to each other ("bonding ties"), and much less so to other users ("bridging ties"). We conclude with a discussion of opportunities for studying the online presence and activities of mosques and Muslims in western societies.

A guide to choosing and implementing reference models for social network analysis

Analysing social networks is challenging. Key features of relational data require the use of non-standard statistical methods such as developing system-specific null, or reference, models that randomize one or more components of the observed data. Here we review a variety of randomization procedures that generate reference models for social network analysis. Reference models provide an expectation for hypothesis testing when analysing network data. We outline the key stages in producing an effective reference model and detail four approaches for generating reference distributions: permutation, resampling, sampling from a distribution, and generative models. We highlight when each type of approach would be appropriate and note potential pitfalls for researchers to avoid. Throughout, we illustrate our points with examples from a simulated social system. Our aim is to provide social network researchers with a deeper understanding of analytical approaches to enhance their confidence when tailoring reference models to specific research questions.

Do Local Sex Ratios Approximate Subjective Partner Markets? : Evidence from the German Family Panel

Sex ratios have widely been recognized as an important link between demographic contexts and behavior because changes in the ratio shift sex-specific bargaining power in the partner market. Implicitly, the literature considers individual partner market experiences to be a function of local sex ratios. However, empirical evidence on the correspondence between subjective partner availability and local sex ratios is lacking so far. In this paper, we analyzed how closely a set of different local sex ratio measures correlates with subjective partner market experiences. Linking a longitudinal German survey to population data for different entities (states, counties, municipalities), we used multilevel logistic regression models to explore associations between singles’ subjective partner market experiences and various operationalizations of local sex ratios. Results suggest that local sex ratios correlated only weakly with subjective partner market experiences. Adult sex ratios based on broad age brackets, including those for lower-level entities, did not significantly predict whether individuals predominantly met individuals of their own sex. More fine-grained, age-specific sex ratios prove to be better predictors of subjective partner market experiences, in particular when age hypergamy patterns were incorporated. Nevertheless, the respective associations were only significant for selected measures. In a complementary analysis, we illustrate the validity of the subjective indicator as a predictor of relationship formation. In sum, our results suggest that subjective partner availability is not adequately represented by the broad adult sex ratio measures that are frequently used in the literature. Future research should be careful not to equate local sex ratios and conscious partner market experiences.

The Pandemic City: Urban Issues in the Time of COVID-19

Pandemics have shaped the way cities are planned and configured. Throughout history, cities have evolved to solve problems of sanitation, hygiene, and health access while providing space and opportunities for the urban dwellers. COVID-19 will have significant implications in the way cities are planned. This recent crisis highlights a number of issues. This paper looks at the context for the pandemic and then reviews studies and debates in four areas: transformations in the configuration of public spaces, transportation, urban connectivities, and urban economies. This pandemic, like other similar episodes in the past, is forcing us to rethink the nature of urban space and may be an opportunity to plan for safer, more sustainable cities.

Location inference for hidden population with online text analysis

Background

Understanding the geographic distribution of hidden population, such as men who have sex with men (MSM), sex workers, or injecting drug users, are of great importance for the adequate deployment of intervention strategies and public health decision making. However, due to the hard-to-access properties, e.g., lack of a sampling frame, sensitivity issue, reporting error, etc., traditional survey methods are largely limited when studying such populations. With data extracted from the very active online community of MSM in China, in this study we adopt and develop location inferring methods to achieve a high-resolution mapping of users in this community at national level.

Methods

We collect a comprehensive dataset from the largest sub-community related to MSM topics in Baidu Tieba, covering 628,360 MSM-related users. Based on users’ publicly available posts, we evaluate and compare the performances of mainstream location inference algorithms on the online locating problem of Chinese MSM population. To improve the inference accuracy, other approaches in natural language processing are introduced into the location extraction, such as context analysis and pattern recognition. In addition, we develop a hybrid voting algorithm (HVA-LI) by allowing different approaches to vote to determine the best inference results, which guarantees a more effective way on location inference for hidden population.

Results

By comparing the performances of popular inference algorithms, we find that the classic gazetteer-based algorithm has achieved better results. And in the HVA-LI algorithms, the hybrid algorithm consisting of the simple gazetteer-based method and named entity recognition (NER) is proven to be the best to deal with inferring users’ locations disclosed in short texts on online communities, improving the inferring accuracy from 50.3 to 71.3% on the MSM-related dataset.

Conclusions

In this study, we have explored the possibility of location inferring by analyzing textual content posted by online users. A more effective hybrid algorithm, i.e., the Gazetteer & NER algorithm is proposed, which is conducive to overcoming the sparse location labeling problem in user profiles, and can be extended to the inference of geo-statistics for other hidden populations.

Network Evolution of a Large Online MSM Dating Community: 2005-2018

Due to multiple sexual partners and low rates of condom use, the HIV infection rate among MSM (men who have sex with men) is much higher than that of the general population. In order to analyze the characteristics of online activities of MSM, and to understand the evolution of their social networks, in this study we collect a comprehensive dataset, covering the period from January 2005 to June 2018, from the largest Chinese online community, Baidu Tieba. We build an online dating network for MSM-related individuals in the gay-bar community, and analyze the network from static and dynamic aspects. It is found that there is a strong homophily regarding the cities where users reside when developing interactions with others, and that most network measurements tend to be stable at the later stages of evolution, while the size of the largest community fluctuates. This is an indication that the network is formed of rapidly flexible interactions which changes quickly. In comparison with studies on heterosexual networks, we find that the MSM dating network shows differences in many aspects, such as the positive degree-degree correlation and high clustering coefficient, suggesting different thinking and measures should be taken in the policy making of public health management towards the MSM population.