Study on Contemporary Masculinity Language: Perceptions and Reactions of White Heterosexual Cisgender Men

Core Overview

This article focuses on the perceptions and reactions of white heterosexual cisgender men towards contemporary masculinity language, exploring the subjective experiences of this group through qualitative interview methods, filling the gap in traditional gender studies that lack sufficient attention to their own perspectives. The study found that participants' reactions showed highly differentiated characteristics, with complex emotions and identity negotiation involved, which has important implications for the development of AI language models.

Research Subjects: White heterosexual cisgender men Core Methods: In-depth interviews + thematic analysis Key Value: Provides a new perspective for understanding the impact of gendered language on different groups Source Information: Original title "White, Heterosexual, Cisgender Male Experiences with Contemporary Masculinity Language", published on 2027-08-22 (OpenAlex platform)

Background and Gap

In recent years, terms like "toxic masculinity" have entered public discourse, but related discussions mostly focus on their impact on women and marginalized groups, with less attention paid to the experiences of the men labeled by these terms.

This study addresses this gap by exploring the target group's perceptions, emotional reactions, and behavioral intentions towards contemporary masculinity language—this group is often assumed to be the "standard reference group" in gender studies, yet their complex experiences lack systematic investigation.

Methodological Framework

• Data Collection: Using in-depth interviews, 9 American men who meet the target demographic characteristics participated
• Interview Content: Focused on perceptions of masculinity terms, emotional reactions, usage preferences, and attitudes towards gender discussions
• Data Analysis: Thematic analysis, extracting recurring patterns and themes, organizing them into high-level categories to capture the richness and complexity of subjective experiences

Key Findings

Participants' reactions presented three differentiated themes:

1. Term Preference Differences: Neutral/positive attitudes towards "masculinity", obvious resistance towards "toxic masculinity"
2. Emotional Complexity: Ambivalent experiences (coexistence of confusion, defensiveness, guilt, and willingness to change), breaking the binary framework of "resistance/acceptance"
3. Identity Negotiation Process: Proactively reconstructing gender identity, reflecting the dynamic interaction between gender discourse and individual identity

These findings reveal the diverse subjective experiences of the target group towards gender language.

Application Value in the AI Field

1. Language Sensitivity: Gender-related terms are highly context-dependent, and the same term elicits significantly different reactions among different groups, posing challenges to AI dialogue systems for sensitive topics
2. Emotional Depth Capture: Current large language models struggle to handle the complex emotions and individual differences of identity-related language, often outputting stereotyped responses
3. Dialogue Principles: Effective gender dialogue requires listening to the experiential concerns of different positions, and this principle applies to the design of culturally sensitive AI systems

The study provides qualitative references for AI ethics and language model optimization.

Research Limitations and Extensions

• Limitations: Strong demographic homogeneity of the sample (only white heterosexual cisgender American men), so generalization to other groups requires caution
• Future Directions:
  1. Explore differences in reactions to gender discourse among groups of different cultures, races, and sexual orientations
  2. Track changes in reactions over time and across contexts
  3. Transform qualitative insights into computable language features to support the development of culturally sensitive NLP systems

This study lays the foundation for subsequent cross-group and cross-context gender language research.