RISS 학술연구정보서비스

검색

인기 검색어

    다국어 입력

    http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.

    변환된 중국어를 복사하여 사용하시면 됩니다.

    예시)
    • 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
    • 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
    닫기
    KCI등재

    디지털 뉴스 미디어의 적응과 연계한 인터랙션 연구 = A Study on Interaction with Adaptation of Digital News Media

    한글로보기

    https://www.riss.kr/link?id=A105352267

    • 0

      상세조회
    • 0

      다운로드
    서지정보 열기
    • 내보내기
    • 내책장담기
    • 공유하기
    • 오류접수

    부가정보

    다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

    With the development of the Internet and the proliferation of information data, the digitalization and diversification of news media channels, news surpluses are underway. As a result of this change in media landscape, news media is evolving to facilitate competition between traditional and new media for survival and to win the choices of users who have turned themselves into active participant. Based on this background, this study attempted to analyze adaptive digital news media and to propose an interaction model which can be universally applicable. For this, the study looked into Marshall McLuhan's media theory, Uses & Gratification Theory, biological evolution theory with the Universal Darwinism by Richard Dawkins, and then finally the interaction design concepts. Through theoretical considerations of previous studies, it was found that interactions with users were a key factor in the news media trying to adapt to the new environment. Based on the previous discussion, the Adaptive news media is newly defined, and the case studies of these news media companies extracted three common characteristics. First, those expands social media-centric interaction channel. Secondly, those experiment with various forms of new media technology and study new patterns of interaction formats. Lastly, those produce personalized content through user data analysis. Based on these results, a new model of interaction in Adaptive news media is proposed and expected to be used in a meaningful analysis framework in the future.
    번역하기

    With the development of the Internet and the proliferation of information data, the digitalization and diversification of news media channels, news surpluses are underway. As a result of this change in media landscape, news media is evolving to facili...

    With the development of the Internet and the proliferation of information data, the digitalization and diversification of news media channels, news surpluses are underway. As a result of this change in media landscape, news media is evolving to facilitate competition between traditional and new media for survival and to win the choices of users who have turned themselves into active participant. Based on this background, this study attempted to analyze adaptive digital news media and to propose an interaction model which can be universally applicable. For this, the study looked into Marshall McLuhan's media theory, Uses & Gratification Theory, biological evolution theory with the Universal Darwinism by Richard Dawkins, and then finally the interaction design concepts. Through theoretical considerations of previous studies, it was found that interactions with users were a key factor in the news media trying to adapt to the new environment. Based on the previous discussion, the Adaptive news media is newly defined, and the case studies of these news media companies extracted three common characteristics. First, those expands social media-centric interaction channel. Secondly, those experiment with various forms of new media technology and study new patterns of interaction formats. Lastly, those produce personalized content through user data analysis. Based on these results, a new model of interaction in Adaptive news media is proposed and expected to be used in a meaningful analysis framework in the future.

    더보기

    동일학술지(권/호) 다른 논문

    동일학술지 더보기

    더보기

    분석정보

    View

    상세정보조회

    0

    Usage

    원문다운로드

    0

    대출신청

    0

    복사신청

    0

    EDDS신청

    0

    동일 주제 내 활용도 TOP

    더보기

    주제

    연도별 연구동향

    연도별 활용동향

    연관논문

    연구자 네트워크맵

    공동연구자 (7)

    유사연구자 (20) 활용도상위20명

    이 자료와 함께 이용한 RISS 자료

    나만을 위한 추천자료

    해외이동버튼