Justify my love: Cognitive dissonance reduction among perpetrators of online and offline infidelity

A longitudinal survey study was conducted to examine which strategies for reducing cognitive dissonance were used among men engaging in infidelity. Data were collected in two waves, 1 month apart ( n time1 = 1514, n time2 = 425), from a sample of male users of Ashley Madison, a “married dating” site targeting users who are seeking to engage in infidelity. Because perpetrators of infidelity may justify their behaviors differently depending on whether they cheated in an online environment, both online and offline infidelity behaviors were considered. Results indicated that attitude change and self-concept change were positively related to online infidelity, while only self-concept change was positively related to offline infidelity, suggesting their differential effectiveness for various communication media. Self-concept change, attitude change, and denial of responsibility were negatively related to psychological discomfort and perceived negative impact at time 2, indicating their relative success for reducing negative psychological outcomes compared to other strategies such as adding consonant cognitions.

Is Infidelity Predictable? Using Interpretable Machine Learning to Identify the Most Important Predictors of Infidelity

Infidelity is a common occurrence in relationships and can have a devastating impact on both partners’ well-being. A large body of literature have attempted to factors that can explain or predict infidelity but have been unable to estimate the relative importance of each predictor. We used a machine learning algorithm, random forest (a type of interpretable highly non-linear decision tree), to predict in-person and online infidelity and intentions toward future infidelity across three samples (two dyadic samples; N = 1846). We also used a game theoretic explanation technique, Shapley values, which allowed us to estimate the effect size of each predictor variable on infidelity. The present study showed that infidelity was somewhat predictable overall with interpersonal factors (relationship satisfaction, love, desire, relationship length) being the most predictive. The results suggest that addressing relationship difficulties early in the relationship can help prevent future infidelity.

Perceptions of infidelity: A comparison of sexual, emotional, cyber-, and parasocial behaviors

Previous research indicates that extradyadic sexual behaviors and other behaviors including emotional infidelity, pornography use, and online infidelity are considered to be acts of betrayal. However, perceptions of infidelity occurring through social media and of romantic parasocial relationships (one-sided romantic attachments formed with media figures) have not been well researched. In two exploratory studies, I examined a) the extent to which participants rated parasocial, sexual, emotional, and social media behaviors as infidelity, and b) how hurtful these behaviors would be if a partner were to enact them. I also examined how often participants reported having been negatively affected by their partner’s parasocial romances. Results indicate that activities such as sexting and sexy Snapchatting are perceived similarly to both cybersex and physical sexual infidelity, and that parasocial infidelity is seen similarly to pornography use. These similarities apply to whether the acts are seen as infidelity, and in terms of the emotional pain the acts may cause. These results indicate that extradyadic social media and parasocial behaviors can be negatively perceived, and may be likely to negatively affect real-life romantic relationships.

The Role of Online Infidelity Behaviors in the Link between Mental Illness and Social Media Intrusion

Online social interactions can potentially benefit users. Excessive use and certain behaviors, however, may cause interpersonal problems and promote toxic behaviors such as stalking. The present study explored the link between mental health status and social media intrusion (addiction) in a sample of 243 married/cohabiting romantic partners (female 177, male 66). The sample was divided into two groups based on the diagnosis or nondiagnosis of mental/emotional illness. We also tested a mediation model to examine whether social networking sites (SNS) related infidelity behaviors mediate the link between mental health and social media intrusion. The results revealed that there is a positive relationship between mental illness and SNS intrusion, and SNS related infidelity behaviors partially mediated this relationship. These findings suggest that partners should be cautious when making friends online and should take proactive steps to avoid the possibility of engaging in infidelity behaviors. Therapeutic implications and limitations of the study are discussed.

Intersexual and Intrasexual Competition and Their Relation to Jealousy

This chapter discusses sex differences in intersexual competition and describes particularly the consequences of such competition for conflict between the sexes, as well as for sex differences in mate guarding and, relatedly, in the types of infidelity that evoke jealousy, including online infidelity. It also discusses individual differences in jealousy as related to attachment styles and describes the effects of height, hormones, and the menstrual cycle on jealousy. Next, the chapter moves on to intrasexual competition and discusses, among other topics, intrasexual competition among men and among women, the role of sex differences in rival characteristics in evoking jealousy, the role of attachment styles and hormones, and individual differences in intrasexual competitiveness.

I Can But You Can't: Inconsistencies in Judgments of and Experiences With Infidelity

Despite strong prohibition against infidelity and endorsement of exclusivity as a norm, many people report engaging in infidelity. The current study examined this paradox by employing a between-subject design using online surveys with 810 adults to assess actor-observer biases in the degree of permissiveness judging own versus partner's hypothetical behaviour, as well as hypocrisy in judgments of infidelity versus self-reported behaviour. Participants judged their own behaviour more permissively than their partner's, but only for emotional/affectionate and technology/online behaviours (not sexual/explicit or solitary behaviours). Many reported having engaged in behaviours that they judged to be infidelity, especially emotional/affectionate and technology/online infidelity behaviours. Sexual attitudes, age, and religion predicted inconsistencies in judgments of infidelity and self-reported behaviour (hypocrisy). This study has implications for educators and practitioners working with couples to improve communication and establish guidelines for appropriate and inappropriate behaviour.