Online Dating: A Critical Analysis From the Perspective of Psychological Science

Online dating: predictors of problematic tinder use

BACKGROUND

Geolocation apps have radically transformed dating practices around the world, with profound sociocultural implications. Few studies, however, have explored their addictive potential or factors that are associated with their misuse.

OBJECTIVE

The present study aimed to assess the level of problematic Tinder use (PTU) in an adult sample, using a machine learning algorithm to determine, among 29 relevant variables, the most important predictors of PTU.

METHODS

1,387 users of Tinder (18-74 years-old; male = 50.3%; female = 49.1%) completed an online questionnaire, and a machine learning tool was used to analyze their responses.

RESULTS

On 5-point scale, participants' mean PTU score was 1.91 (SD = 0.70), indicating a relatively low overall level of problematic app use. Among the most important predictors of Problematic use were the use of Tinder for enhancement (reduce boredom and increase positive emotions), coping with psychological problems, and increasing social connectedness. The number of "matches" (when two users show mutual interest), the number of online contacts on Tinder, and the number of resulting offline dates were also among the top predictors of PTU. Depressive mood and loneliness were among the middle-ranked predictors of PTU.

CONCLUSION

In accordance with the Interaction of Person-Affect-Cognition-Execution model of problematic internet use, the results suggest that PTU relates to how individual experience on the app interacts with dispositional and situational characteristics. However, variables that seemed to relate to PTU, including lack of self-esteem, negative mood states and loneliness, are not problems that online dating services as currently designed can be expected to resolve. This argues for increased digital services to identify and address potential problems helping drive the popularity of dating apps.

The Bumble motivations framework- exploring a dating App's uses by emerging adults in India

Researchers have called for a better understanding of the differing motivations of dating app users. Whereas these have been described for Tinder, Grinder and Hinge in the Anglosphere, no research examples could be found for Indian users of Bumble. In response, this paper's pathfinder study helps close the gap by developing a Bumble motivation scale. Six primary motivations for using Bumble were identified through the exploratory factor analysis: Love, Socialisation, Ease of communication, Distraction, Trendiness, and Sexual experience. Notably, socialisation and love motivations emerged as more significant drivers for Bumble usage than sexual experiences, which contrasted with prior findings on dating apps. Additionally, age and biological sex differences were observed in the motivations reported by the participants. Men were more likely to use Bumble for sexual experiences, while women were more motivated by ease of communication. Furthermore, age was found to positively relate to motivations linked to love, distraction, trendiness, and sexual experiences. Moreover, the motivations of Love, socialisation, and trendiness were found to positively predict the frequency of Bumble usage. Among these motivations, Love, socialisation, and trendiness emerged as significant predictors of offline dating behaviour among the participants. These findings contribute to a better understanding of the factors influencing the adoption and engagement with Bumble among emerging adults in India. The implications of these findings may aid in refining dating app features and marketing strategies targeted at this specific demographic.

Trusting strangers: The benefits of reciprocal self-disclosure during online computer-mediated communication and mediating role of interpersonal liking

Reciprocal self-disclosure has reportedly been associated with increased interpersonal trust. However, existing research mainly focuses on online disclosure between acquaintances and overlooks the types of reciprocal disclosure, especially in the initial interactions between strangers communicating online. This study aimed to investigate how three types of reciprocal self-disclosure (turn-taking reciprocity, extended reciprocity and non-reciprocity) contribute to trust and the mechanism of positive interpersonal liking, and whether any effect was instant and stable or increased across two interactions during computer-mediated communication (CMC). Participants were assigned to one of the three reciprocal disclosure conditions and engaged in online interactions. Self-reported and behavioural results demonstrated higher levels of interpersonal trust and liking in the second interaction phase than in the first across all conditions. The turn-taking reciprocity condition showed higher interpersonal trust than did the extended condition, and higher interpersonal liking than did the extended and non-reciprocity conditions; this effect was apparent in both interactions. These findings help us understand the relationship between online self-disclosure and interpersonal trust, suggesting that certain patterns of communication with strangers (e.g., turn-taking reciprocity) may foster more positive social outcomes during CMC over time, while demonstrating the importance of immediacy in synchronous conversations.

Listening and responsiveness in getting-acquainted processes

Listening and being responsive to another's turns at disclosure are essential processes that occur at all stages of a relationship, including and perhaps particularly at the formation stage. This article discusses research on the role of responsiveness and listening in contributing to positive outcomes from getting-acquainted interactions. Integral to listening and responsiveness in the getting-acquainted process is asking questions, which is also discussed in this article. Because getting-acquainted interactions can occur in different communication modalities and also with artificial intelligence (AI), variation in the degree to which listening and responsiveness occur as a function of the context will be considered. Although listening skills and responsiveness are desired in a romantic partner, these skills are difficult to assess in online profiles and dating apps, which have become common ways for meeting partners.

Online Dating Site Use to Cope with Minority Stress in Gay and Bisexual Men in Germany: Findings from Two Survey Studies

Objective

For gay and bisexual men who are confronted with minority stress, online dating sites may provide opportunities for coping. Extant research has largely neglected this, and those pieces that did address it did not sufficiently account for different motivations of use.

Methods

Two survey studies served to explore links between minority stress, online dating use, and well-being (Study 1: N = 97, Study 2: N = 25,884).

Results

The present work finds evidence that the use of online dating sites may have limited buffering effects on associations between minority stress and well-being.

Conclusions

The findings contribute to existing work on online dating and the mental health of gay and bisexual men.

Half Empty and Half Full? Biased Perceptions of Compassionate Love and Effects of Dyadic Complementarity

The prevailing theory on relationship judgments for interaction attributes suggests individuals tend to underestimate a romantic partner's expressions of compassionate love and that such underestimation is beneficial for the relationship. Yet, limited research has incorporated dyadic perspectives to assess how biased perceptions are associated with both partners' outcomes. In two daily studies of couples, we used distinct analytical approaches (Truth and Bias Model; Dyadic Response Surface Analysis) to inform perspectives on how biased perceptions are interrelated and predict relationship satisfaction. Consistent with prior research, people demonstrated an underestimation bias. However, there were differential effects of biased perceptions for actors versus partners: Underestimation predicted lower actor satisfaction but generally higher satisfaction for partners. Furthermore, we find evidence for complementarity effects: partners' directional biases were inversely related, and couples were more satisfied when partners had opposing patterns of directional bias. Findings help integrate theoretical perspectives on the adaptive role of biased relationship perceptions.

Navigating the Role of LGBTQ+ Identity in Self-Disclosure and Strategies Used for Uncertainty Reduction in Online Dating

Online dating platforms pose novel challenges for personal privacy, self-disclosure, and uncertainty management. Emerging evidence suggests that LGBTQ+ users may be especially impacted by issues like personal privacy and misrepresentation online. LGBTQ+ identity disclosure is often fraught with pressures related to stigma, fear of accidental disclosure to unintended, undesired audiences, and the possibility of facing harassment and violence. How these identity concerns may manifest in uncertainty reduction strategies in online dating contexts has not yet been examined. To understand this relationship, we replicated and extended precious work examining self-disclosure concerns and uncertainty reduction strategies when online dating with a focus on LGBTQ+ users. Participants were surveyed on the amount of personal information they disclosed, the uncertainty reduction strategies they used, and concerns about disclosure. We found that use of uncertainty reduction strategies was predicted by concerns of personal security, misrepresentation of communication partners, and the possibility of being recognized. We also found that using these strategies predicted the frequency of specific self-disclosure in online dating situations. These findings support the value in continuing to understand the ways in which online information sharing and relationship development are influenced by social identity.

The ABC of algorithmic aversion: not agent, but benefits and control determine the acceptance of automated decision-making

While algorithmic decision-making (ADM) is projected to increase exponentially in the coming decades, the academic debate on whether people are ready to accept, trust, and use ADM as opposed to human decision-making is ongoing. The current research aims at reconciling conflicting findings on ‘algorithmic aversion’ in the literature. It does so by investigating algorithmic aversion while controlling for two important characteristics that are often associated with ADM: increased benefits (monetary and accuracy) and decreased user control. Across three high-powered (Ntotal = 1192), preregistered 2 (agent: algorithm/human) × 2 (benefits: high/low) × 2 (control: user control/no control) between-subjects experiments, and two domains (finance and dating), the results were quite consistent: there is little evidence for a default aversion against algorithms and in favor of human decision makers. Instead, users accept or reject decisions and decisional agents based on their predicted benefits and the ability to exercise control over the decision.

Digital Ethnic Enclaves: Mate Preferences and Platform Choices Among Chinese Immigrant Online Daters in Vancouver

In light of the growing racialized immigrant population in Canada and advances in dating technologies, this study examines Chinese immigrants' partner preferences and mate selection processes through the lens of online dating. We draw on in-depth interviews with 31 Chinese immigrants who have used online dating services in Metro Vancouver to search for different-sex partners. Chinese immigrant online daters show strong preferences for dating Chinese. They emphasize permanent residency status and similarity in age at arrival when evaluating potential partners. Given their preferences, Chinese immigrants strategically choose the dating platforms they primarily use. Men exhibit higher selectivity in their preferences and choices of platforms. Notably, platforms catering to Chinese users create "digital ethnic enclaves" where Chinese immigrant daters congregate. The findings illuminate the intersection of race, gender, immigrant status, and age at arrival in shaping divergent experiences of mate selection and immigrant assimilation in the digital era.

A study of the factors influencing HIV-preventive intentions among "hookup" application users

"Hooking up" refers to the act of experiencing sexual intimacy with strangers without committing to a romantic relationship. Social media provide more convenient conditions for hooking up; however, it also poses a greater risk for HIV infection. Therefore, it is necessary to study the factors influencing the HIV-preventive intentions of those who engage in online dating to devise effective strategies for preventing the spread of HIV. This study consisted of a questionnaire that was distributed to 520 users of the Hello Group application. The survey results revealed that structural equation modeling is a useful framework for understanding the risk of HIV transmission in casual hookup encounters. In addition, combining the health belief model with the theory of planned behavior can provide recommendations for enhancing HIV-preventive intentions among users of dating applications. The results showed that mindfulness, the Chinese cultural context, perceived benefits, and self-efficacy were the main predictors of users' HIV-preventive intentions when using online dating applications. Among the perceived HIV risks, only perceived barriers had a negative effect on users' HIV-preventive intentions. In addition, attitude, subjective norms, and behavior control served as mediating variables between independent variables and HIV-preventive intentions; however, the mediating effect of attitude on perceived benefits and intentions was not significant. According to our study, some users misunderstand the risks and make incorrect assessments of the cultural risks of hooking up. Therefore, it is necessary to pay attention to the research on the psychological tendencies of users and risk intervention when studying the concept of hooking up.

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.

Online Sexual Partner Seeking as a Social Practice: Qualitative Evidence from the 4th British National Survey of Sexual Attitudes and Lifestyles (Natsal-4)

Once perceived as a means for those unsuccessful at traditional dating, online dating has become normalized as a way to seek sexual or romantic partners. In 2019, we interviewed 40 British adults on the role of digital technologies in their sexual lives; this paper draws on the accounts of 22 who had used such technologies for seeking partners. We analyzed qualitative accounts of online partner seeking as a social practice, drawing on a sample diverse in age, gender and sexual orientation, and informed by sexual script and social practice theory. Our theoretically informed analysis emphasized the multiple meanings and goals involved, the affordances of the technology and individuals' skills. Our study provided several novel contributions. Young heterosexual people commonly used general social media, rather than dating apps, to meet partners; meeting partners often involved complex interplays between online and offline networks and encounters. Risks were defined not merely in relation to "risky others" but in terms of one's own actions or attitudes. Participants deployed various skills in minimizing harms such as non-consensual sharing of intimate images, and used self-care skills such as setting limits to engagement.

Individual difference predictors of starting a new romantic relationship during the COVID-19 pandemic

Dramatic social changes brought about by the COVID-19 pandemic shifted the dating scene and the likelihood of people starting new relationships. What factors make individuals more or less likely to start a new relationship during this period? In a sample of 2285 college students (M_age = 19.36, SD = 1.44; 69.2% women; 66.7% White) collected from October 2020 to April 2021, anxiously attached and extraverted people were 10–26% more likely to start a new relationship. Avoidantly attached and conscientious people were 15–17% less likely to start a new relationship. How people pursued (or avoided) new romantic relationships closely mirrored their broader patterns of health and interpersonal behavior during the global pandemic.

Sexual Experiences and Attachment Styles in Online and Offline Dating Contexts

Nearly 50% of adults under age 29 report using some form of online dating to find sexual partners or romantic relationships. Limited evidence suggests online and offline dating behaviors and experiences can vary. We aimed to expand understanding these differences by examining how attachment styles are associated with online and offline search for partners and emotional responses to sexual experiences. In a sample of single adults (N = 247; M age= 27.34), we examine how attachment styles relate to individual differences in how people search for partners and respond to sexual experiences with partners met online and offline. Individuals high in attachment anxiety reported higher use of online dating apps and more negative experiences (e.g., lower satisfaction, more guilt) following their most recent sexual encounters with partners met online and offline, and reported feeling more used after engaging in sexual activity specifically with partners met offline. Individuals high in avoidance also reported more negative experiences following their most recent sexual encounters, but only with partners met offline. This study moves our understanding by highlighting nuances in how attachment insecurity is associated with differences in online dating app use and emotions following sexual experiences when meeting partners online and offline.

Intimate Relationships during COVID-19 across the Genders: An Examination of the Interactions of Digital Dating, Sexual Behavior, and Mental Health

The COVID-19 pandemic has resulted in economic hardship, psychological stress, anxiety, and depression in a significant proportion of the global population. However, the bidirectional effects of social isolation and pre-existing or developed psychological stress could inform sexual behaviors and affect digital dating outcomes. Additionally, it is unknown whether intimate behaviors and relationships have been equally affected across the genders during the COVID-19 pandemic. The purpose of this study is to contrast the course of intimate relationships pre-and post-COVID-19, with a focus on diverse genders, digital dating, mental health, and behavior. A review of the dating landscape during COVID-19 is developed in this study, encompassing themes including diverse genders, sexual orientation, demographic characteristics, sexual behavior, the state of psychological wellbeing, and interactions with digital dating apps. The authors reviewed the trends and challenges of digital romance. Dating before and during the pandemic is explored, discussing how COVID-19 experiences may inform future romantic partnerships. Mobile dating applications saw a surge in downloads and usage across popular platforms, including Tinder (3 billion swipes in March 2020) and Ok Cupid (700% increase in dates), with the top 20 dating apps gaining 1.5 million daily users. Cross-sectionally, being younger, single, and having higher levels of stress was a predictor of higher dating-app usage during the COVID-19 lockdowns. Risky sexual behavior and having multiple sexual partners were reduced during social distancing as there was an increased worry of contracting the virus. Heightened incidents of domestic/intimate partner abuse have caught the headlines in several countries. COVID-19 during lockdown has also posed barriers to accessing support and help from sexual and mental health services.

Managing Congestion in a Matching Market via Demand Information Disclosure

In online dating platforms, users tend to focus their attention on a subset of popular peers, leading to congestion. We consider the potential efficacy of an informational intervention, namely, the disclosure of peers’ recent demand. We evaluate our treatment’s efficacy in mitigating congestion and improving matching efficiency, conducting a randomized field experiment at a large mobile dating platform. Our results show that the intervention is particularly effective at improving matching efficiency when presented in tandem with a textual message-framing cue that highlights the capacity implications of the peer demand information. Heterogeneity analyses further indicate that these effects are driven primarily by those users who most contend with congestion in the form of competition, namely, male users and those who rely more heavily upon outbound messages for matches.

The Psychology of Personalization in Digital Environments: From Motivation to Well-Being – A Theoretical Integration

The personalization of digital environments is becoming ubiquitous due to the rise of AI-based algorithms and recommender systems. Arguably, this technological development has far-reaching consequences for individuals and societies alike. In this article, we propose a psychological model of the effects of personalization in digital environments, which connects personalization with motivational tendencies, psychological needs, and well-being. Based on the model, we review studies from three areas of application—news feeds and websites, music streaming, and online dating—to explain both the positive and the negative effects of personalization on individuals. We conclude that personalization can lead to desirable outcomes such as reducing choice overload. However, personalized digital environments without transparency and without the option for users to play an active role in the personalization process potentially pose a danger to human well-being. Design recommendations as well as avenues for future research that follow from these conclusions are being discussed.

The effect of mating market dynamics on partner preference and relationship quality among Himba pastoralists

Relative mate value has long been believed to be a critical component of mate choice in humans. However, most empirical work focuses on preferences rather than actual pair formation, and data connecting partner preferences, partnership formation, and relationship quality remain rare. Here, we estimate mate value using >12,000 ratings by opposite-sex, in-group members to understand both hypothetical partnership preferences and actualized relationship dynamics. When evaluating hypothetical partnerships, people generally prefer individuals whose mate value is higher than their own, indicating an aspirational matching strategy. However, mate value comparisons of individuals in marital and nonmarital relationships show a positive correlation, suggesting that individuals tend to pair up with similarly desirable individuals. Furthermore, despite aspirational preferences, couples who are more closely matched reported greater relationship quality, measured through frequency of interactions, reported sexual histories, and partnership length.

Conflicting social influences regarding controversial information systems: the case of online dating

Purpose

Controversial information systems (IS) represent a unique context in which certain members of a user's social circle may endorse the use of a system while others object to it. The purpose of this paper is to explore the simultaneous and often conflicting roles of such positive and negative social influences through social learning and ambivalence theories in shaping user adoption intention of a representative case of controversial IS, namely online dating services (ODS).

Design/methodology/approach

The model was tested with two empirical studies using structural equation modeling techniques. The data of these studies were collected from 451 (Study 1) and 510 (Study 2) single individuals (i.e. not in a relationship).

Findings

(1) Positive social influence has a stronger impact on perceived benefits and adoption intention, while negative social influence exerts a greater impact on perceived risks; (2) positive and negative social influences affect adoption intention toward ODS differently, through benefit and risk assessments; and (3) ambivalence significantly negatively moderates the effects of social influences on adoption.

Originality/value

This study enriches and extends the IS use, ambivalence theory, prospect theory, and social learning theory research streams. Furthermore, this study suggests that it is necessary to focus on not only the oft-considered positive but also negative social influences in IS research.

The match and mismatch between providers and customers in accommodation sharing: a cognitive style perspective

Purpose

The peer-to-peer (P2P) accommodation-sharing market has developed rapidly on the strength of information technology in recent years. Matching providers and customers in an information technology (IT)-enabled platform is a key determinant of both parties' experiences and the healthy development of the platform. However, previous research has not sufficiently explained the mechanism of provider–customer matching in accommodation sharing, especially at the psychological level. Based on field cognitive style theory, this study examines how the match and mismatch affect customers' online and offline satisfaction and whether a significant difference exists between online and offline satisfaction under different matching patterns.

Design/methodology/approach

The authors test the proposed theoretical model using 122 provider–customer dyad data collected through a field study.

Findings

The results suggest that customers' online and offline satisfaction under match is significantly higher than that under mismatch. In addition, customers' online satisfaction is significantly higher than their offline satisfaction under mismatch, but there is no significant difference between the two under match. The perceived price fairness also plays a moderating role in the case of mismatch.

Originality/value

In summary, these findings provide a novel understanding about the matching patterns and their outcomes in the accommodation-sharing context and expand the contents and applications of field cognitive style theory and matching theory. This study will help these IT-enabled platforms to provide personalized matching services at the psychological level, thereby enhancing user experience and corporate competitiveness. 10; 10;

A Study of the Relationship between Workplace Violence and Online Dating

The purpose of this study is to investigate the impact of organizational politics on employees’ online dating behavior and how it influences their job satisfaction and organizational citizenship behavior. And this study explores if the leader-member exchange can moderate the relationship between organizational politics and online dating behavior. For this, it collected data from 305 employees in Korean companies through a survey method and uses SPSS 18.0 for hierarchical regression analysis for the hypothesis test. In the results, first, organizational politics increases online dating behavior. Second, online dating behavior decreases each relevant factor of job satisfaction and organizational citizenship behavior. Third, online dating behavior plays the mediating roles between organizational politics and each relevant factor of job satisfaction/organizational citizenship behavior. Finally, affect among the sub-factors of leader-member exchange decrease the effect of organizational politics on online dating behavior.

Originality in online dating profile texts: How does perceived originality affect impression formation and what makes a text original?

This paper investigates origins and consequences of perceived profile text originality. The first goal was to examine whether the perceived originality of authentic online dating profile texts affects online daters' perceptions of attractiveness, and whether perceptions of (less) desired partner personality traits mediate this effect. Results showed the positive impact of perceived profile text originality on impression formation: text originality positively affects perceptions of intelligence and sense of humor, which improve impressions of attractiveness and boost dating intention. The second goal was to explore what profile text features increase perceptions of profile text originality. Results revealed profile texts which were stylistically original (e.g., include metaphors) and contained more and concrete self-disclosure statements were considered more original, explaining almost half of the variance in originality scores. Taken together, our results suggest that perceived originality in profile texts is manifested in both meaning and form, and is a balancing act between novelty and appropriateness.

Teammate Invitation Networks: The Roles of Recommender Systems and Prior Collaboration in Team Assembly

Teammate invitation networks are foundational for team assembly, and recommender systems (similar to dating websites, but for selecting potential teammates) can aid the formation of such networks. This paper extends Hinds, Carley, Krackhardt, and Wholey's (2000) influential model of team member selection by incorporating online recommender systems. Exponential random graph modeling of two samples (overall N = 410; 63 teams; 1,048 invitations) shows the invitation network is predicted by online recommendations, beyond previously-established effects of prior collaboration/familiarity, skills/competence, and homophily. Importantly, online recommendations are less heeded when there is prior collaboration (effect replicates across samples). This study highlights technology-enabled team assembly from a network perspective.

Becoming what you are seeking: Building Relational Self-Awareness in emerging adults

Emerging adults are attempting to navigate a rapidly shifting and immensely complicated landscape of modern love, often without meaningful sex and relationship education. Although individually oriented relationship education programs for emerging adults make a difference in the knowledge, attitudes, and beliefs of the recipients (Simpson et al., Journal of Youth and Adolescence, 2018, 47, 477) and most emerging adults report they yearn for relationship education (Weissbourd et al., The talk: How adults can promote young people's healthy relationships and prevent misogyny and sexual harassment, 2017), these programs are not widely available. Educators who are working with emerging adults in a classroom or psychoeducational setting are well-positioned to help emerging adults identify and enact healthy and purposeful relational and sexual choices. The first part of the paper orients readers to the "topography" of the modern love landscape by describing four macro cultural themes that impact the intimate lives of emerging adults. The second part of the paper introduces relationship educators to Relational Self-Awareness (Solomon, Loving Bravely: 20 lessons of self-discovery to help you get the love you want, New Harbinger, 2017), an integrative approach to helping emerging adults understand the self-in-relationship. Each of the five pillars of Relational Self-Awareness is defined and operationalized, and specific recommendations are provided for how educators can integrate these pillars into their existing curricula. Clinical implications and future directions are offered.

On the Effect of Practice on Exploration and Exploitation of Options and Strategies

Insufficient exploration of one's surroundings is at the root of many real-life problems, as demonstrated by many famous biases (e.g., the status quo bias, learned helplessness). The current work focuses on the emergence of this phenomenon at the strategy level: the tendency to under-explore the set of available choice strategies. We demonstrate that insufficient exploration of strategies can also manifest as excessive exploration between options. In such cases, interventions aimed at improving choices by reducing the costs of exploration of options are likely to fail. In Study 1, participants faced an exploration task that implies an infinite number of choice strategies and a small sub-set of (near) optimal solutions. We manipulated the amount of practice participants underwent during the first, shorter game and compared their performance in a second, longer game with an identical payoff structure. Our results show that regardless of the amount of practice, participants in all experimental groups tended to under-explore the strategy space and relied on a specific strategy that implied over-exploration of the option space. That is, under-exploration of strategies was manifested as over-exploration of options. In Study 2, we added a constraint that, on a subset of practice trials, forced participants to exploit familiar options. This manipulation almost doubled the per-trial average outcome on the comparable longer second game. This suggests that forcing participants to experience the effects of different (underexplored) strategy components during practice can greatly increase the chance they make better choices later on.

Nonverbal Auditory Cues Allow Relationship Quality to be Inferred During Conversations

The claim that nonverbal cues provide more information than the linguistic content of a conversational exchange (the Mehrabian Conjecture) has been widely cited and equally widely disputed, mainly on methodological grounds. Most studies that have tested the Conjecture have used individual words or short phrases spoken by actors imitating emotions. While cue recognition is certainly important, speech evolved to manage interactions and relationships rather than simple information exchange. In a cross-cultural design, we tested participants’ ability to identify the quality of the interaction (rapport) in naturalistic third party conversations in their own and a less familiar language, using full auditory content versus audio clips whose verbal content has been digitally altered to differing extents. We found that, using nonverbal content alone, people are 75–90% as accurate as they are with full audio cues in identifying positive vs negative relationships, and 45–53% as accurate in identifying eight different relationship types. The results broadly support Mehrabian’s claim that a significant amount of information about others’ social relationships is conveyed in the nonverbal component of speech.

Dependents as Signals of Mate Value: Long-term Mating Strategy Predicts Displays on Online Dating Profiles for Men

Sexual strategies theory indicates women prefer mates who show the ability and willingness to invest in a long-term mate due to asymmetries in obligate parental care of children. Consequently, women's potential mates must show they can provide investment - especially when women are seeking a long-term mate. Investment may be exhibited through financial and social status, and the ability to care for a mate and any resulting offspring. Men who care for children and pets (hereafter "dependents") are perceived as high-quality mates, given that dependents signal an ability to invest; however, no studies have examined how dependents are associated with short-term and long-term mating strategies. Here, online dating profiles were used to test the predictions that an interactive effect between sex and mating strategy will predict displays of dependents, with long-term mating strategy predicting for men but not women. Moreover, this pattern should hold for all dependent types and, due to relative asymmetries in required investment, differences will be strongest regarding displays of children and least in non-canine pets. As expected, men seeking long-term mates displayed dependents more than men seeking short-term mates, but both men and women seeking long-term mates displayed dependents similarly. This pattern was driven mostly by canines. These findings indicate that men adopting a long-term mating strategy display their investment capabilities more compared to those seeking short-term mates, which may be used to signal their mate value.

Brain Knows Who Is on the Same Wavelength: Resting-State Connectivity Can Predict Compatibility of a Female-Male Relationship

Prediction of the initial compatibility of heterosexual individuals based on self-reported traits and preferences has not been successful, even with significantly developed information technology. To overcome the limitations of self-reported measures and predict compatibility, we used functional connectivity profiles from resting-state functional magnetic resonance imaging (fMRI) data that carry rich individual-specific information sufficient to predict psychological constructs and activation patterns during social cognitive tasks. Several days after collecting data from resting-state fMRIs, participants undertook a speed-dating experiment in which they had a 3-min speed date with every other opposite-sex participant. Our machine learning algorithm successfully predicted whether pairs in the experiment were compatible or not using (dis)similarity of functional connectivity profiles obtained before the experiment. The similarity and dissimilarity of functional connectivity between individuals and these multivariate relationships contributed to the prediction, hence suggesting the importance of complementarity (observed as dissimilarity) as well as the similarity between an individual and a potential partner during the initial attraction phase. The result indicates that the salience network, limbic areas, and cerebellum are especially important for the feeling of compatibility. This research emphasizes the utility of neural information to predict complex phenomena in a social environment that behavioral measures alone cannot predict.

Online Dating Is Shifting Educational Inequalities in Marriage Formation in Germany

Digital technologies govern a large part of our social lives, including the pursuit of a romantic partner. Despite recent inquiries into the social consequences of meeting online, what remains unclear is how the link between education and union formation varies in online versus offline meeting contexts, particularly on the backdrop of growing educational gaps in marriage. Using 2008-2019 pairfam data from Germany (N = 3,561), this study ran a series of Fine-Gray competing risks models to assess how online dating shapes the transition to marriage for partnered adults with nontertiary and tertiary education. Results reveal that irrespective of education, men in online-formed couples had greater chances of marrying than men in couples established offline. Highly educated women who met their partner in nondigital ways were less prone to marry than lower-educated women; for women in couples initiated online, however, the pattern was reversed. The internet dating marriage advantage of well-educated women was partly related to better matching on marriage attitudes and gender ideology. Facing a scarcity of eligible partners offline, high-educated women draw on more abundant online options to select more egalitarian-minded men. This study overall suggests that internet dating fosters an uneven distribution of opportunities for marriage, highlighting the role of digital partner markets in the social demography of union formation.

Interpersonal Chemistry: What Is It, How Does It Emerge, and How Does It Operate?

Although chemistry is a well-known, sought-after interpersonal phenomenon, it has remained relatively unexplored in the psychological literature. The purpose of this article is to begin articulating a theoretically grounded and precise definition of interpersonal chemistry. To that end, we propose a conceptual model of interpersonal chemistry centered around the notion that when two or more individuals experience chemistry with one another, they experience their interaction as something more than the sum of their separate contributions. Our model stipulates that chemistry encompasses both behavior (i.e., what chemistry "looks like") and its perception (i.e., what it "feels like"). The behavior involves interaction sequences in which synchronicity is high and in which people's goals are expressed and responded to in supportive and encouraging ways. The perception of chemistry includes cognitive (i.e., perception of shared identity), affective (i.e., positive affect and attraction), and behavioral (i.e., perceived goal-relevant coordination) components. We review existing research on chemistry as well as supporting evidence from relevant topics (e.g., attraction, similarity, perceived partner responsiveness, synchrony) that inform and support this model. We hope that this conceptual model stimulates research to identify the circumstances in which chemistry arises and the processes by which it affects individuals, their interactions, and their relationships.

Social Bonding in Initial Acquaintance: Effects of Modality and Modality Order

In this experimental study, unacquainted dyads engaged in a get-acquainted task using two modes of communication across two segments of interaction. The dyads either first disclosed in text-based computer-mediated communication (CMC) and then disclosed face-to-face (FtF) or the reverse. The participants completed reaction measures after each segment of interaction. After the first segment, dyads who communicated FtF reported more positive outcomes (e.g., liking, closeness) than dyads who engaged in CMC. Furthermore, dyads who began in CMC and then transitioned to FtF increased in their positive reactions, whereas dyads who began in FtF and transitioned to CMC either experienced no change (in liking, closeness, and perceived similarity) or experienced a decrease (in fun/enjoyment and perceived responsiveness). Implications of the results are discussed both for the classic social psychology question of how people become acquainted and for current interest in how mixed-mode interactions generate social bonds that can help meet belonging needs.

The Secret to Finding a Match: A Field Experiment on Choice Capacity Design in an Online Dating Platform

Online matching platforms require new approaches to market design because firms can now control many aspects of the search and interaction process through various IT-enabled features. Although choice capacity—the number of candidates a user can view and select—is a key design feature of online matching platforms, its effect on engagement and matching outcomes remains unclear. We examine the effect of different choice capacities on market performance by conducting a randomized field experiment in collaboration with an online dating platform. Specifically, we design four treatment groups with different choice capacities in which users can only interact with other users in the same group and randomly assign the users to the treatment groups. We find that providing more choice capacity to male and female users has different effects on choice behaviors and matching outcomes. Although increasing the choice capacity of male users yields the highest engagement, increasing the choice capacity of female users is the most effective method to increase matching outcomes. We empirically demonstrate four mechanisms underlying the effectiveness of different choice capacity designs and generalize our findings by discussing how choice capacity can be designed to increase engagement and matching outcomes.

Exploring Links Between Online Infidelity, Mate Poaching Intentions, and the Likelihood of Meeting Offline

This study examines digitally enabled mate poaching on Ashley Madison, an online dating platform for extradyadic affairs. To explore mate poaching as a potential explanation for what drives users of Ashley Madison to transition their online relationships to offline encounters, we conducted a multinational survey of 1,676 users (88.5 percent male, M_age = 50.98). Participants provided open-ended data about their mate poaching objectives, which ranged from short-term sexual encounters to long-term sexual and emotional affairs and new exclusive relationships. Structural equation modeling showed that participants' attitudes toward online infidelity predicted whether they would consider meeting someone from the website in person. Mate poaching intentions also mediated the effect of attitudes toward online infidelity on the likelihood of meeting another user face to face in the future. The results extend evolutionary theories of mate poaching to the digital dating environment and demonstrate the value of these perspectives for explaining relationship initiation practices on infidelity websites.

Do New Romantic Couples Use More Similar Language Over Time? Evidence from Intensive Longitudinal Text Messages

The digital text traces left by computer-mediated communication (CMC) provide a new opportunity to test theories of relational processes that were originally developed through observation of face-to-face interactions. Communication accommodation theory, for example, suggests that conversation partners' verbal (and non-verbal) behaviors become more similar as relationships develop. Using a corpus of 1+ million text messages that 41 college-age romantic couples sent to each other during their first year of dating, this study examines how linguistic alignment of new romantic couples' CMC changes during relationship formation. Results from nonlinear growth models indicate that three aspects of daily linguistic alignment (syntactic-language style matching, semantic-latent semantic analysis, overall-cosine similarity) all exhibit exponential growth to an asymptote as romantic relationships form. Beyond providing empirical support that communication accommodation theory also applies in romantic partners' CMC, this study demonstrates how relational processes can be examined using digital trace data.