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The Third-Person Effect in Context of Generative AI’s Effects and Regulations : Insights from ChatGPT Users with Sociodemographic and Behavioral Features

첫 페이지 보기
  • 발행기관
    국제인공지능학회(구 한국인터넷방송통신학회) 바로가기
  • 간행물
    The International Journal of Advanced Smart Convergence 바로가기
  • 통권
    Volume 13 Number 4 (2024.12)바로가기
  • 페이지
    pp.122-136
  • 저자
    Jaegyu Kim, Jongwon Lee, Sungtae Kim, Seo Eun Jeon
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A462016

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원문정보

초록

영어
In this paper, we explore the third-person effect, focusing on people’s perception of the negative impacts of ChatGPT and their intention to support its regulation. A survey was conducted to verify third-person effect in the context of generative AI’s positive and negative sides. The survey results revealed that respondents tend to rate ChatGPT’s negative effects on other users and on society in general higher than those on themselves, confirming the presence of third-person as well as the social distance effect. It was revealed that positive and negative evaluations about ChatGPT’s functional features can influence the magnitude of the third-person effect and the social distance effect. This finding is in parallel with the result that respondents who were largely using ChatGPT for functional purposes than hedonic purposes were showing huger social distance effect, while those without clear use purpose was more prone to perceptive bias regarding negative influence of ChatGPT over other people and the society. Lastly, it was also revealed that the magnitude of social distance effect was influencing the user’s intention to support any regulation on ChatGPT usage in response to any potential harmful outcomes of using the media.

목차

Abstract
1. INTRODUCTION
2. LITERATURE REVIEW and THEORETICAL BACKGROUND
2.1 New Technology Acceptance and Generative AI
2.2 The Third-Person Effect and Media Regulation
3. RESEARCH QUESTIONS and HYPOTHESIS
4. METHOD
4.1 Measurement and Operational Definition
4.2 An Analysis Model for the Research
5. RESULTS
5.1 Demographic Factors on Perceptive Bias
5.2 Media Usage Factors on Perceptive Bias
5.3 User Evaluation on Perceptive Bias
5.4 Purpose of ChatGPT Use on Perceptive Bias
5.5 Intention to Support for Regulation on Perceptive Bias
6. DISCUSSION
ACKNOWLEDGEMENT
REFERENCES

키워드

Third-person effect Generative AI Artificial Intelligence Perceptive Bias AI Regulation ChatGPT Regulation

저자

  • Jaegyu Kim [ Doctoral Student, School of Media and Communication, Korea Universit ]
  • Jongwon Lee [ Doctoral Student, School of Media and Communication, Korea University ]
  • Sungtae Kim [ Professor, School of Media and Communication, Korea University ]
  • Seo Eun Jeon [ Ph.D Candidate in the Program of Urban Regeneration, Korea University ] Corresponding Author

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    국제인공지능학회(구 한국인터넷방송통신학회) [The International Association for Artificial Intelligence]
  • 설립연도
    2000
  • 분야
    공학>전자/정보통신공학
  • 소개
    인터넷방송, 인터넷 TV , 방송 통신 네트워크 및 관련 분야에 대한 국내는 물론 국제적인 학술, 기술의 진흥발전에 공헌하고 지식 정보화 사회에 기여하고자 한다.

간행물

  • 간행물명
    The International Journal of Advanced Smart Convergence
  • 간기
    계간
  • pISSN
    2288-2847
  • eISSN
    2288-2855
  • 수록기간
    2012~2025
  • 십진분류
    KDC 326 DDC 380

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