Digital Jealousy Scale (DJS)

1. Abstract

The Digital Jealousy Scale (DJS) is a psychometric instrument developed by Danièle Anne Gubler, Katja Schlegel, Marina Richter, Tugba Kapanci, and Stefan Johannes Troche in 2023. It was created to assess social media-induced romantic jealousy (SoMJ) across diverse digital communication channels and social networking services (SNS). Unlike earlier instruments restricted to single platforms such as Facebook, the DJS provides a platform-general, unified metric designed to evaluate the cognitive, affective, and behavioral manifestations of romantic jealousy evoked by online interactions. The scale comprises 9 self-report items rated on a 6-point Likert scale ranging from 1 (strongly disagree) to 6 (strongly agree). Psychometric development and cross-national validation were conducted across three heterogeneous samples in Germany and the United Kingdom, adhering strictly to the International Test Commission (ITC) guidelines for translation and back-translation between English and German.

Confirmatory factor analyses (CFA) robustly substantiated a unidimensional structure that integrates cognitive appraisal, emotional distress, and surveillance behaviors into a single latent factor. Structural equation modeling (SEM) confirmed exceptional construct validity, showing a strong correlation with general romantic jealousy (r = .861) and established Facebook jealousy measures (r = .873), with excellent goodness-of-fit indices (CFI = .998, RMSEA = .019, SRMR = .042). The scale exhibits high internal consistency across linguistic adaptations, yielding Cronbach’s alpha coefficients of ≥ .89 and McDonald’s omega coefficients of ≥ .90. Furthermore, multigroup confirmatory factor analysis demonstrated strict measurement invariance across gender and relationship status, confirming that the scale assesses latent digital jealousy without systematic measurement bias across men, women, singles, and individuals in committed romantic relationships.

2. Keywords

Digital Jealousy, Romantic Jealousy, Social Media-Induced Jealousy, Online Surveillance, Interpersonal Relationships, Psychometrics, Confirmatory Factor Analysis, Measurement Invariance, Social Networking Sites, Cyberpsychology

3. Authors

The Digital Jealousy Scale was authored and psychometrically validated by an international research team affiliated with Swiss and German academic institutions:

• Danièle Anne Gubler — Department of Psychology, University of Bern, Bern, Switzerland. ORCID: 0000-0003-4317-9939.
• Katja Schlegel — Department of Psychology, University of Bern, Bern, Switzerland. ORCID: 0000-0003-3768-5544.
• Marina Richter — Department of Psychology and Psychotherapy, University of Witten/Herdecke, Witten, Germany.
• Tugba Kapanci — Department of Psychology and Psychotherapy, University of Witten/Herdecke, Witten, Germany.
• Stefan Johannes Troche (Corresponding Author) — Department of Psychology, Institute of Psychology, University of Bern, Fabrikstrasse 8, 3012 Bern, Switzerland. Email: [email protected]. ORCID: 0000-0002-0961-1081.

4. Purpose

The advent and ubiquity of digital communication platforms, instant messaging applications, and social networking services have radically reshaped the architecture of interpersonal romance. In contemporary relationships, social media platforms introduce an unprecedented volume of ambiguous interpersonal cues, including publicly viewable interactions, undisclosed private direct messages, digital read receipts, photo tagging, and algorithmic recommendations. Historical assessment tools designed to evaluate romantic jealousy in the digital era were heavily constrained by platform specificity, most notably centering exclusively on Facebook (e.g., Muise et al., 2009). However, modern social media ecology is fragmented and dynamic, spanning platforms such as Instagram, TikTok, Snapchat, WhatsApp, YouTube, and X (formerly Twitter). The primary purpose of the Digital Jealousy Scale is to overcome these platform-specific limitations by offering a generalized, psychometrically validated, unidimensional measure of social media-induced romantic jealousy (SoMJ).

From an applied clinical perspective, social media-induced jealousy has emerged as a central predictor of relational distress, cyber-dating abuse, compulsive interpersonal electronic surveillance (often termed ‘partner monitoring’ or ‘digital stalking’), and interpersonal conflict. Couple and family therapists require brief, standardized diagnostic instruments to identify whether a client’s emotional dysregulation or relational dissatisfaction stems from digital triggers. The DJS enables clinicians to establish baseline levels of online romantic jealousy, monitor cognitive distortions regarding a partner’s online presence, and track treatment efficacy over the course of cognitive-behavioral or systemic interventions targeting digital boundary management.

In academic and basic psychological research, the DJS serves as an empirical instrument to investigate the complex interplay between personality traits, attachment vulnerabilities, and online communication habits. Researchers investigate how digital environments interact with evolutionary and cognitive mechanisms of jealousy, examining whether social media platforms act merely as a novel medium for pre-existing romantic insecurity or actively cultivate unique jealousy dynamics via ambient ambiguity and constant accessibility. By providing parallel validated versions in English and German that demonstrate strict measurement invariance, the DJS permits rigorous cross-cultural and cross-demographic investigations into modern romantic functioning.

5. Psychological Construct

The psychological construct captured by the Digital Jealousy Scale is social media-induced romantic jealousy (SoMJ). In contemporary psychological literature, romantic jealousy is defined as an aversive, multifaceted emotional reaction evoked by an actual, perceived, or imagined threat to an established or desired romantic partnership posed by a real or hypothetical third-party rival. In offline settings, jealousy traditionally encompasses three interconnected dimensions: cognitive appraisal (worries, suspicions, ruminations), affective experience (anger, anxiety, sadness, hurt), and behavioral response (inquisition, surveillance, behavioral restriction). The DJS conceptualizes social media-induced jealousy as a cohesive, unidimensional construct that integrates these three functional facets within digital communication ecologies.

Cognitive Manifestations

The cognitive dimension of digital jealousy involves interpretive schemas, catastrophic misattributions, and hypervigilant cognitive processing regarding a partner’s digital trail. In digital contexts, relational partners routinely encounter ambiguous social information — such as an unfamiliar person ‘liking’ a partner’s photograph, an ambiguous textual comment, or an unaccounted delay between a visible ‘online’ status indicator and a message response. Cognitive digital jealousy manifests as catastrophic ruminations about potential infidelity, intrusive doubts regarding the partner’s romantic commitment, and persistent assumptions of deceptive communication occurring in private messaging spaces.

Affective Manifestations

The affective dimension comprises the subjective emotional turmoil triggered by social media stimuli. Exposure to ambiguous digital interactions typically arouses acute spikes of anxiety, abandonment fears, visceral anger, and feelings of inadequacy or betrayal. Unlike offline interactions, where interpersonal cues are transient, digital cues persist asynchronously. This permanence enables repeated re-exposure, prolonging affective distress and generating an elevated state of chronic emotional apprehension whenever the individual accesses digital media.

Behavioral Manifestations

The behavioral dimension is operationalized primarily as electronic surveillance, intrusive inspection, and digital sleuthing. Individuals experiencing elevated digital jealousy engage in compensatory safety-seeking behaviors, such as systematically auditing a partner’s public profile, inspecting follower lists, reading public comment exchanges, and attempting to monitor digital activity logs. Rather than soothing anxiety, empirical evidence shows that digital surveillance frequently unearths further ambiguous data, initiating a self-reinforcing feedback loop that exacerbates jealousy.

6. Theoretical Framework

The Digital Jealousy Scale is grounded in foundational models from evolutionary psychology, cognitive appraisal theory, and adult attachment theory:

Evolutionary and Interpersonal Threat Perspectives

Evolutionary psychology conceptualizes romantic jealousy as an evolved adaptive mechanism designed to defend pair-bonds against mate poaching and resource diversion (Buss et al., 1992). In ancestral environments, jealousy was triggered by direct sensory cues of physical proximity or emotional intimacy between a mate and a rival. In contemporary digital contexts, social networking platforms radically alter the visibility and quantity of potential romantic competitors. Social media creates an ambient environment of low-cost, low-effort social access where partners can interact with hundreds of acquaintances outside their significant other’s immediate presence. The DJS conceptualizes digital jealousy as the activation of this threat-detection adaptation in response to the high-density informational cues characteristic of modern virtual spaces.

Cognitive Appraisal Theory

According to Richard Lazarus’s cognitive-mediational theory of emotion, emotional experiences arise from cognitive appraisals of environmental events relative to individual well-being and goals. Primary appraisal evaluates whether a stimulus represents a threat, challenge, or loss, whereas secondary appraisal evaluates available coping options. Social media content often presents severe context collapse — stripped of tone, facial expressions, and situational parameters. When an individual inspects a partner’s digital feed, the ambiguity of a ‘like’ or comment requires rapid cognitive attribution. Individuals with a predisposition toward jealousy interpret these ambiguous cues as existential threats to relational security, which fuels distress and motivates surveillance.

Adult Attachment Theory

Contemporary attachment theory (Bowlby, 1982; Hazan & Shaver, 1987) provides an explanatory framework for individual differences in digital jealousy. Individuals high in attachment anxiety hold negative working models of self and chronic fears of abandonment. In digital environments, these individuals show heightened sensitivity to subtle signs of rejection, such as a partner’s delayed reply despite active online status. Research by Muise et al. (2009) and Marshall et al. (2013) demonstrated that attachment anxiety correlates with compulsive social media surveillance. The DJS operationalizes digital jealousy in a manner aligned with these attachment vulnerabilities, capturing how attachment dynamics translate into digital relationship surveillance.

7. Validity

The Digital Jealousy Scale was validated across three heterogeneous empirical samples comprising university students and community-dwelling adults in Germany and the United Kingdom, spanning both single individuals and those in committed romantic relationships.

Construct and Structural Validity

The construct validity of the DJS was assessed using structural equation modeling (SEM) to examine the latent relationship between digital jealousy and general romantic jealousy. A model specifying digital jealousy and general romantic jealousy as distinct yet correlated latent variables demonstrated excellent fit across all standard psychometric criteria:

• Chi-Square: χ²(151) = 186.146, p = .027
• Comparative Fit Index (CFI): .998
• Root Mean Square Error of Approximation (RMSEA): .019 (90% CI [.006, .028])
• Standardized Root Mean Square Residual (SRMR): .042

The latent correlation between digital jealousy and general romantic jealousy was r = .861 (p < .001). This large effect size confirms that while digital jealousy is embedded within the broader nomological network of romantic jealousy, it captures specific variance stemming from digital platforms.

Convergent and Discriminant Validity

Convergent validity was evaluated by comparing the platform-general DJS with the established Facebook Jealousy Scale in the English-speaking validation cohort. A structural equation model evaluating both scales demonstrated excellent fit:

• Chi-Square: χ²(593) = 697.298, p = .002
• CFI: .997
• RMSEA: .028
• SRMR: .075

The latent correlation between the DJS and Facebook jealousy was exceptionally strong (r = .873, p < .001), indicating that the DJS effectively captures jealousy dynamics previously limited to Facebook and successfully generalizes them across platforms.

Discriminant and external validity were assessed by correlating the DJS with personality traits (Big Five Inventory), self-esteem (Rosenberg Self-Esteem Scale), and adult attachment dimensions. The DJS exhibited significant positive correlations with neuroticism and attachment anxiety, and negative correlations with self-esteem and attachment security. These associations mirrored those observed for general romantic jealousy, verifying that the scale aligns with theoretical predictions.

8. Reliability

The Digital Jealousy Scale displays strong reliability across both classical test theory (CTT) and modern psychometric frameworks:

• Cronbach’s Alpha (α): Across all validation samples — including the initial German exploratory cohort, the German replication cohort, and the United Kingdom validation sample — Cronbach’s alpha coefficients for the 9-item scale were consistently ≥ .89.
• McDonald’s Omega (ω): To account for the limitations of Cronbach’s alpha regarding tau-equivalence assumptions, McDonald’s omega total (ω) coefficients were calculated. Across all samples, omega values were ≥ .90, demonstrating high latent score reliability.
• Item-Total Correlations: Corrected item-total correlations across the 9 items were high, ranging between .62 and .81, confirming that every item contributes meaningfully to the shared variance of the construct.
• Measurement Precision: Standard errors of measurement (SEM) were uniformly small across the continuum of the latent trait (θ), ensuring consistent measurement precision for both low and elevated levels of digital jealousy.

9. Factor Analysis

The internal structure of the Digital Jealousy Scale was analyzed through exploratory and confirmatory factor analytic procedures across independent development and validation samples.

Confirmatory Factor Analysis (CFA)

Initial item pools capturing cognitive, affective, and behavioral aspects of online romantic jealousy were subjected to factor extraction. While these domains reflect distinct conceptual facets, CFA demonstrated that a unidimensional model provides the most parsimonious and psychometrically sound representation of the data. All 9 items loaded significantly onto this single latent factor, with standardized factor loadings consistently exceeding λ = .65, and several items reaching loadings between λ = .78 and .88.

Measurement Invariance

A central psychometric requirement for self-report instruments is measurement invariance across demographic and relational groups. Multigroup confirmatory factor analyses (MGCFA) were conducted to evaluate configural, metric (weak), scalar (strong), and residual (strict) invariance across:

• Gender: Comparing male and female respondents.
• Relationship Status: Comparing individuals in committed romantic relationships with currently single individuals.

Hierarchical model comparisons demonstrated that adding equality constraints on factor loadings (ΔCFI < .01, ΔRMSEA < .015), item intercepts, and unique item residual variances did not degrade model fit. Strict measurement invariance was supported across both gender and relationship status. This demonstrates that mean differences observed across sexes or relationship groups reflect genuine differences in the underlying psychological trait rather than group-specific response biases or differential item functioning.

10. Instrument / Measurement Tool

• Instrument Name: Digital Jealousy Scale (DJS)
• Construct Assessed: Social Media-Induced Romantic Jealousy (SoMJ)
• Theoretical Structure: Unidimensional model integrating cognitive, affective, and behavioral jealousy dimensions
• Number of Items: 9 items
• Item Rating Format: 6-point Likert response scale ranging from 1 (strongly disagree) to 6 (strongly agree)
• Available Validated Languages: English and German (developed and back-translated according to ITC standards)
• Administration Modality: Self-administered paper-and-pencil or computerized questionnaire
• Target Population: Adolescents (13–17 years) and Adults (18 years and older), including singles and individuals in committed romantic partnerships
• Scoring Procedure:
  • All 9 items are scored from 1 (strongly disagree) to 6 (strongly agree).
  • No reverse-scored items are present in the final 9-item scale.
  • Total Score: Calculated by summing all 9 item scores (theoretical range: 9 to 54), or by averaging the items (theoretical range: 1.00 to 6.00).
  • Higher scores reflect greater social media-induced romantic jealousy, increased online threat sensitivity, and more frequent digital partner surveillance.

11. Permissions & Fee and Test Year

• Year of Formal Publication: 2023
• Original Copyright Holders: Danièle Anne Gubler, Katja Schlegel, Marina Richter, Tugba Kapanci, Stefan Johannes Troche / Hogrefe Publishing Group (Psychological Test Adaptation and Development).
• Commercial Fee: None for non-commercial academic research and educational use.
• Permissions and Access: Researchers and clinicians wishing to administer the full scale must consult the original publication or contact the corresponding author:
• Corresponding Author Contact: Prof. Dr. Stefan Johannes Troche, University of Bern, Institute of Psychology, Fabrikstrasse 8, 3012 Bern, Switzerland. Email: [email protected].

12. References

• Bowlby, J. (1982). Attachment and loss: Vol. 1. Attachment (2nd ed.). Basic Books.
• Buss, D. M., Larsen, R. J., Westen, D., & Semmelroth, J. (1992). Sex differences in jealousy: Evolution, physiology, and psychology. Psychological Science, 3(4), 251–256. https://doi.org/10.1111/j.1467-9280.1992.tb00038.x
• Gubler, D. A., Schlegel, K., Richter, M., Kapanci, T., & Troche, S. J. (2023). The green-eyed monster in social media – Development and validation of a Digital Jealousy Scale. Psychological Test Adaptation and Development, 4(1), 13–27. https://doi.org/10.1027/2698-1866/a000033
• Hazan, C., & Shaver, P. (1987). Romantic jealousy, love, and work: Work as an attachment process. Journal of Personality and Social Psychology, 52(3), 511–524. https://doi.org/10.1037/0022-3514.52.3.511
• International Test Commission. (2017). ITC guidelines for translating and adapting tests (2nd ed.). https://www.intestcom.org/files/guideline_test_adaptation_2ed.pdf
• Marshall, T. C., Bejanyan, K., Di Castro, G., & Lee, N. (2013). Attachment styles as predictors of Facebook-related jealousy and surveillance in romantic relationships. Personal Relationships, 20(1), 1–22. https://doi.org/10.1111/j.1475-6811.2011.01393.x
• Muise, A., Christofides, E., & Desmarais, S. (2009). More information than you ever wanted: Does Facebook bring out the green-eyed monster of jealousy? CyberPsychology & Behavior, 12(4), 441–444. https://doi.org/10.1089/cpb.2008.0263
• Tandon, A., Dhir, A., & Mäntymäki, M. (2020). Jealousy in social media: Systematic literature review and future research agenda. Information Technology & People, 34(5), 1435–1465. https://doi.org/10.1108/ITP-02-2020-0081

13. Items of the Scale