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Algorithms and Articles: Examining the Impact of Generative Artificial Intelligence on the Production and Consumption of News
Algorithms and Articles: Examining the Impact of Generative Artificial Intelligence on the Production and Consumption of News
상세정보
- 자료유형
- 학위논문 서양
- 최종처리일시
- 20250211153027
- ISBN
- 9798342762571
- DDC
- 020
- 서명/저자
- Algorithms and Articles: Examining the Impact of Generative Artificial Intelligence on the Production and Consumption of News
- 발행사항
- [Sl] : University of California, Los Angeles, 2024
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2024
- 형태사항
- 274 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 86-05, Section: B.
- 주기사항
- Advisor: Srinivasan, Ramesh.
- 학위논문주기
- Thesis (Ph.D.)--University of California, Los Angeles, 2024.
- 초록/해제
- 요약This study assesses the impact of generative artificial intelligence (AI) on journalism in terms of news production and consumption. It advances existing research in journalism theory by examining how the rapidly advancing and contemporary field of generative artificial intelligence is being integrated into newsrooms. The study begins by reviewing relevant literature surrounding artificial intelligence and journalism, before introducing the theoretical considerations and approaches deemed best suited to approach the three research questions of the study:RQ1: How do individuals involved in automated news production describe their experiences?RQ2: What are the evaluative criteria used by readers in their perception of automated news content?RQ3: How do news readers in the United States perceive automated news content and human-written news content relative to the descriptors derived from RQ2?Through a mixed methods approach of a) semi-structured interviews with journalists and product developers describing their experiences producing content with AI and b) survey experiments evaluating and comparing perceptions of news articles generated using AI (ChatGPT), this study underscores the idea that AI-generated media is a fundamentally distinct entity from human-generated media. Thus, this entity must be reckoned with using a novel set of theoretical assumptions if we are to properly ascertain its social and cultural impacts. The study concludes by considering the future of creativity in an AI-generated world and the salience of alienation as a potential social consequence of the increased role of generative AI across industries. Ultimately, this study provides a foundation for offering a more comprehensive understanding of the multifaceted nature of news production and consumption.
- 일반주제명
- Information science
- 일반주제명
- Journalism
- 일반주제명
- Web studies
- 키워드
- Algorithms
- 키워드
- ChatGPT
- 키워드
- News
- 키워드
- Articles
- 기타저자
- University of California, Los Angeles Information Studies 045A
- 기본자료저록
- Dissertations Abstracts International. 86-05B.
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
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■006m o d
■007cr#unu||||||||
■020 ▼a9798342762571
■035 ▼a(MiAaPQ)AAI31634349
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a020
■1001 ▼aWasdahl, Alexander John.
■24510▼aAlgorithms and Articles: Examining the Impact of Generative Artificial Intelligence on the Production and Consumption of News
■260 ▼a[Sl]▼bUniversity of California, Los Angeles▼c2024
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2024
■300 ▼a274 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 86-05, Section: B.
■500 ▼aAdvisor: Srinivasan, Ramesh.
■5021 ▼aThesis (Ph.D.)--University of California, Los Angeles, 2024.
■520 ▼aThis study assesses the impact of generative artificial intelligence (AI) on journalism in terms of news production and consumption. It advances existing research in journalism theory by examining how the rapidly advancing and contemporary field of generative artificial intelligence is being integrated into newsrooms. The study begins by reviewing relevant literature surrounding artificial intelligence and journalism, before introducing the theoretical considerations and approaches deemed best suited to approach the three research questions of the study:RQ1: How do individuals involved in automated news production describe their experiences?RQ2: What are the evaluative criteria used by readers in their perception of automated news content?RQ3: How do news readers in the United States perceive automated news content and human-written news content relative to the descriptors derived from RQ2?Through a mixed methods approach of a) semi-structured interviews with journalists and product developers describing their experiences producing content with AI and b) survey experiments evaluating and comparing perceptions of news articles generated using AI (ChatGPT), this study underscores the idea that AI-generated media is a fundamentally distinct entity from human-generated media. Thus, this entity must be reckoned with using a novel set of theoretical assumptions if we are to properly ascertain its social and cultural impacts. The study concludes by considering the future of creativity in an AI-generated world and the salience of alienation as a potential social consequence of the increased role of generative AI across industries. Ultimately, this study provides a foundation for offering a more comprehensive understanding of the multifaceted nature of news production and consumption.
■590 ▼aSchool code: 0031.
■650 4▼aInformation science
■650 4▼aJournalism
■650 4▼aWeb studies
■653 ▼aAlgorithms
■653 ▼aChatGPT
■653 ▼aNews
■653 ▼aNews production and consumption
■653 ▼aArticles
■690 ▼a0723
■690 ▼a0800
■690 ▼a0391
■690 ▼a0646
■71020▼aUniversity of California, Los Angeles▼bInformation Studies 045A.
■7730 ▼tDissertations Abstracts International▼g86-05B.
■790 ▼a0031
■791 ▼aPh.D.
■792 ▼a2024
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17164651▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
