A Study of the Application of Semiotics in News Communication Mechanisms in the Digital Era

Author:

Chen Qianli1

Affiliation:

1. 1 College of Humanities and Communication , Anshan Normal University , Anshan, Liaoning , , China .

Abstract

Abstract Any news fact is reproduced as news representation in the form of symbols. In this paper, we first analyze the role of symbols in news representation and propose the common components of news symbols such as subject-object, scene, light color, etc. Construct a model for news symbol analysis that is based on clustering and design a method for segmenting news content based on rules and statistics. The symbolic representation is simulated, and the symbolic ideographic similarity is evaluated after the news content space is transformed into the symbolic representation space, and K-means clustering is carried out. The model was used to analyze the symbolic forms of news from two representative news websites and then calculate the 60 best multi-symbol combinations of “Chinese New Year Festival” news content. A questionnaire survey was conducted to test the degree of audience recognition of the symbolic representations of the news imagery matching. The study found that CCTV's “Chinese New Year Festival” news reports have clear thematic representations, rich symbolic imagery, and are easy to understand, with evaluation scores of 4.61, 4.27, 4.16, and 4.08 for color, character expressions, festive atmosphere, and cultural symbols, respectively. The purpose of this study is to explore and innovate ideas while evaluating the application of semiotics in news communication in the digital age.

Publisher

Walter de Gruyter GmbH

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3