현재 위치
Home
Regulating AI-Generated Content : When Do Restrictions Spark or Stifle Community Dynamics?
-
- 발행기관
- 한국경영정보학회 바로가기
-
- 간행물
- 한국경영정보학회 정기 학술대회 바로가기
-
- 통권
- 2025 한국겨영정보학회 추계학슬대회 (2025.10)바로가기
-
- 페이지
- pp.504-515
-
- 저자
-
- 언어
- 영어(ENG)
-
- URL
- https://www.earticle.net/Article/A476067
※ 기관로그인 시 무료 이용이 가능합니다.
4,300원
원문정보
초록
- 영어
- The rapid expansion of AI-generated content (AIGC) has raised concerns regarding authenticity and content quality, prompting platforms and regulators to introduce regulations. While these measures are designed to preserve the integrity of online discourse, they may also create unintended participation costs that discourage user engagement and reshape community norms in unexpected ways. This study examines how AIGC regulations shape community dynamics on Reddit, focusing on user engagement and content diversity. Especially, we focus on both text and image content, exploring the multimodal content outcomes. Drawing on signaling theory, we posit that these rules function both as constraints and as authenticity signals that reshape user behavior across community types. Using a quasi-experimental design, our findings reveal that AIGC restrictions reduce participation and diversity in information-focused communities yet stimulate engagement and broaden diversity in creativity-oriented spaces where originality is central. These findings highlight the divergent consequences of identical policies, emphasizing the need for nuanced moderation strategies, underscoring the importance of designing tailored moderation approaches that recognize community heterogeneity. Theoretically, we extend signaling theory into the domain of platform governance, illustrating how authenticity signals shape participation in digital environments. Practically, our findings provide actionable insights for platform operators and policymakers navigatingthe complex challenges of generative AI.
목차
Abstract
Introduction
Related Literature
AI-generated tools and content
Platform Governance and Content Moderation
Theoretical Background and Hypotheses
Empirical Settings
Research Context
Data Collection and Measures
Treatment Variable
Dependent Variables
Control Variables
Analyses and Results
Identification Strategy
Results
Additional Analysis
Treatment Effect
Discussion
Implications
Limitations and Future Research
Reference
키워드
AI-generated content AI Regulation User Participation Content diversity Platform Governance Signaling Theory저자
간행물 정보
발행기관
-
- 발행기관명
- 한국경영정보학회 [The Korea Society of Management information Systems]
- 설립연도
- 1989
- 분야
- 사회과학>경영학
- 소개
- 이 학회는 경영정보학의 연구 및 교류를 촉진하고 학문의 발전과 응용에 공헌함을 목적으로 합니다.
간행물
-
- 간행물명
- 한국경영정보학회 정기 학술대회 [KMIS Conference]
- 간기
- 반년간
- 수록기간
- 1990~2025
- 십진분류
- KDC 325 DDC 658
이 권호 내 다른 논문 / 한국경영정보학회 정기 학술대회 2025 한국겨영정보학회 추계학슬대회
피인용수 : 0건 (자료제공 : 네이버학술정보)
함께 이용한 논문 이 논문을 다운로드한 분들이 이용한 다른 논문입니다.
출처 : 네이버학술정보
0개의 논문이 장바구니에 담겼습니다.