Understanding Moderators' Conflict and Conflict Management Strategies with Streamers in Live Streaming Communities

Title of the Paper

Understanding Moderators’ Conflict and Conflict Management Strategies with Streamers in Live Streaming Communities

Bibliographic Information

• Research Area: Human-Computer Interaction and Conflict Management in Online Communities
• Keywords: Conflict, Conflict Management, Commitment, Live Streaming Moderators, Content Moderation, Streamer-Moderator Relationship

Research Background and Problem

• Problem or Challenge: Many live streaming communities lack clear behavioral guidelines, leading to frequent disagreements between content moderators (or "mods") and streamers. Such conflicts can impact the speed of decision-making, implementation efficiency, and even the sustainability of the community.
• Significance: As live streaming communities continue to grow, the voluntary work of content moderators creates significant commercial value for platforms. Understanding how they handle conflicts with streamers is crucial for community development.
• Research Motivation and Related Work: While academic research has extensively explored the relationship between live streamers and their audiences, the interaction between streamers and content moderators has received less attention. Existing studies highlight the diverse applications of live streaming (e.g., education, e-commerce, information dissemination), but there is limited analysis of conflict management between moderators and streamers.

Solution

• Proposed Method or Solution:

  • The authors conducted an online survey (N=240) to investigate moderators’ conflict management styles and their commitment to streamers.
  • Conflict management styles were categorized into integrative, dominating, obliging, avoiding, and compromising, measured using standardized questionnaires.
  • A mixed-method approach combining quantitative and qualitative analysis was employed to examine conflict scenarios and management strategies between moderators and streamers.

• Innovations:

  • This study is the first to integrate content moderation with conflict management styles, directly applied to live streaming communities.
  • It explores how moderators’ three types of commitment to streamers (affective commitment, continuance commitment, normative commitment) influence their behavior.

• Implementation Steps:

  • Design a questionnaire divided into three sections: moderation experience, core variables (conflict management styles and commitment), and demographic information.
  • Recruit participants and filter valid data.
  • Classify qualitative data into existing theoretical frameworks through content analysis and verify quantitative data using linear regression analysis.

Research Findings

• Key Findings:

  • Moderators are more likely to adopt integrative (collaborative) and obliging management styles, while dominating and avoiding styles are less frequently used to resolve conflicts with streamers.
  • Moderators with strong affective or normative commitment to streamers tend to employ low self-focus or high other-focus strategies (e.g., integrative and obliging).
  • Conflict management styles are influenced by moderators’ experience and their tenure within the community.

• Advantages:

  • Compared to traditional conflict management research, this paper provides insights into actor-specific behaviors within live streaming communities, particularly the complex dynamics of streamer-led communities.
  • Offers design recommendations to develop better conflict resolution mechanisms and tools for streamer-moderator interaction.

• Experimental or Evaluation Results:

  • Quantitative analysis R^2 values indicate significant correlations between moderators’ commitment and experience with certain conflict management styles.
  • Qualitative analysis captured specific types of conflicts and management styles in different scenarios, such as normative conflict, process conflict, relationship conflict, and task conflict.

• Limitations and Future Directions:

  • The generalizability of data interpretation is limited by sample size and low adjusted R^2 values; future research should validate broader applicability.
  • Data collection focused solely on moderators, without analyzing conflict management from the streamers’ perspective.
  • Cultural or linguistic differences as antecedent variables of conflict were not deeply explored, requiring further investigation.

Experiments and Design Recommendations

1. Standardize Rules and Penalty Mechanisms:

   • Clearly define community rules and consequences for violations on live streaming platforms to reduce task and normative conflicts.
   • Propose a dual-layer rule display mechanism: one for public viewing and another for internal moderator use, providing detailed scenarios and penalty suggestions.

2. Enhance Emotional Support for Moderators:

   • Increase recognition mechanisms for moderators from streamers (e.g., customized badges to acknowledge moderators’ contributions).
   • Promote better communication between moderators and streamers to reduce conflicts and build emotional connections.

3. Balance Power Dynamics Between Moderators and Streamers:

   • Provide moderators with appeal channels and limit streamers’ arbitrary granting or revocation of moderation privileges.
   • Develop a “multi-level moderation badge” system to align moderators’ experience with their team authority.

Conclusion

This study analyzed conflict management between moderators and streamers in live streaming communities and explored how commitment influences strategy selection. It found that moderators predominantly adopt positive and collaborative management styles and proposed design recommendations to mitigate conflicts and improve streamer-moderator relationships. The research offers practical implications and valuable references for platform governance and live streaming community development.