Jealousy in Online Infidelity Scenario

2019 ◽

pp. 214-236

Author(s):

Abraham P. Buunk ◽

Karlijn Massar ◽

Pieternel Dijkstra ◽

Ana María Fernández

Keyword(s):

Sex Differences ◽

Individual Differences ◽

Menstrual Cycle ◽

Attachment Styles ◽

Mate Guarding ◽

Intrasexual Competition ◽

Online Infidelity ◽

Intersexual Competition

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.

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

Journal of Social and Personal Relationships ◽

10.1177/02654075211037740 ◽

2021 ◽

pp. 026540752110377

Author(s):

Cassandra Alexopoulos

Keyword(s):

Cognitive Dissonance ◽

Attitude Change ◽

Negative Impact ◽

Self Concept ◽

Survey Study ◽

Differential Effectiveness ◽

Online Infidelity ◽

Ashley Madison ◽

Site Targeting ◽

Concept Change

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.

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Online infidelity: The new challenge to marriages

Indian Journal of Psychiatry ◽

10.4103/0019-5545.58299 ◽

2009 ◽

Vol 51 (4) ◽

pp. 302 ◽

Cited By ~ 15

Author(s):

Ahalya Raguram ◽

Angelina Mao

Keyword(s):

Online Infidelity

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

Social Science Computer Review ◽

10.1177/0894439319857079 ◽

2019 ◽

pp. 089443931985707

Author(s):

Irum Saeed Abbasi ◽

Jayson L. Dibble

Keyword(s):

Mental Health ◽

Social Media ◽

Mental Illness ◽

Social Networking Sites ◽

Romantic Partners ◽

Therapeutic Implications ◽

Emotional Illness ◽

Online Infidelity ◽

Making Friends

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.

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

10.31234/osf.io/4crxu ◽

2020 ◽

Author(s):

Laura Marika Vowels ◽

Matthew J Vowels ◽

Kristen P Mark

Keyword(s):

Machine Learning ◽

Learning Algorithm ◽

Large Body ◽

Predictor Variable ◽

Well Being ◽

Relationship Length ◽

Three Samples ◽

Online Infidelity ◽

Shapley Values ◽

Game Theoretic

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.

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