Humor Me: Humor Style Compatibility as a Predictor of Successful Matches in Online Dating

Online dating platforms typically emphasize looks, often neglecting interpersonal traits. Humor, associated with emotional health, social bonding, and mate selection, may counterbalance this bias; however, evidence on whether compatible humor styles foster digital matches is limited, particularly among Filipino Generation Z users. The study investigated whether similar versus contrasting humor styles predict match success and identified the most effective humor-style pairings. In a quasi-experiment, 160 heterosexual Filipino undergraduates (80 men, 80 women; 18–25 years) completed the Humor Styles Questionnaire and were paired into ten dyads of similar or contrasting styles. Each pair chatted for ten minutes on Discord, then rated dating intention on a five-item scale. Normality and homogeneity violations justified non-parametric analysis; ethical clearance and informed consent safeguarded participant privacy. Mann-Whitney U, Kruskal-Wallis H, and Dunn post-hoc tests rigorously compared group differences. Pairs sharing adaptive styles (Affiliative–Affiliative; Self-Enhancing–Self-Enhancing) posted higher dating-intention scores than contrasting or aggressive matches (U = 2505, p = .048, r = .16). Differences across all ten dyads were significant (χ²(9) = 26.04, p = .002, η² = .34); Aggressive–Aggressive pairs scored lowest. Findings show that humor-style compatibility, especially shared adaptive humor, modestly but consistently enhances early romantic interest online, affirming Similarity–Attraction and Sexual Selection theories. Dating apps should embed humor assessments within matching algorithms, and users might highlight adaptive humor in profiles. Counselors and relationship educators could incorporate humor-style awareness into training modules, while engineers can experiment with real-time comedic matching features. Researchers should pursue longitudinal and multicultural studies to see if initial humor compatibility forecasts durable relationship quality over time