메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색
질문

논문 기본 정보

자료유형
학술저널
저자정보
Joseph N. Cappella (University of Pennsylvania) Yue Li (University of Pennsylvania)
저널정보
한국언론학회 Asian Communication Research Asian Communication Research Vol.20 No.3
발행연도
2023.12
수록면
147 - 174 (28page)

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색
질문

초록· 키워드

오류제보하기
In order to advance the scientific basis for message design, theories of belief, attitude, and intention change focusing on the importance of arguments must be joined with theories that deal more with a message’s executional (or format) features. Previous summaries of the literature on message effectiveness are reviewed. They provide the fact base needing explanation. They are therefore useful but fail to provide an explanatory mechanism for integrating message content and format elements. This paper takes steps in this direction arguing that processing and resource allocation theories (Lang, 2006; Stephenson & Southwell, 2006) can be integrated with theories of belief change (Petty & Cacioppo, 1986) to advance message effects theory and research. The mechanism employed generalizes from the mediational processes of the elaboration likelihood model, namely ability and motivation, arguing that message formatting features themselves affffect ability and motivation. Specifific predictions for the interaction of message format features and argument strength are derived through their impact on ability and motivation. Recent research reporting interaction between format features and argument strength is described in the context of the model’s predictions. Implications of the model for cumulating knowledge about message effffects and guiding future research are explored.

목차

ABSTRACT
OVERVIEWS OF THE FEATURES OF EFFECTIVE MESSAGES
THEORIZING THE DESIGN OF EFFECTIVE MESSAGES
CONCLUSION
REFERENCES

참고문헌 (0)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

최근 본 자료

전체보기

댓글(0)

0

UCI(KEPA) : I410-151-24-02-089242468