The role of social media in news avoidance: A cognitive load and technology affordance perspective

Proceedings of the 2023 6th International Conference on Software Engineering and Information Management Pub Date : 2023-01-31 DOI:10.1145/3584871.3584912

Xiao Jiang

{"title":"The role of social media in news avoidance: A cognitive load and technology affordance perspective","authors":"Xiao Jiang","doi":"10.1145/3584871.3584912","DOIUrl":null,"url":null,"abstract":"The role of social media in news avoidance has become increasingly prominent in recent years. The article has attempted to investigate the effects of social affordances, news overload, and “news finds me” perception (NFM) on people's news avoidance. Building on the understanding of the conceptualization and operationalizations of news avoidance, a research model of social media affordances influencing news avoidance is constructed based on the perspective of cognitive load and technology affordance. The model was empirically tested using data from a sample of 1435 social media users in China by structural equation modeling technique. The findings of the study revealed that perceived news overload and NFM both significantly affect news avoidance; the three dimensions of social media affordances, social articulation, social transparency, and user-generated content, all have significant effects on NFM, while social articulation also has a significant effect on perceived news overload. Finally, the practice implications of these findings are discussed.","PeriodicalId":173315,"journal":{"name":"Proceedings of the 2023 6th International Conference on Software Engineering and Information Management","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2023 6th International Conference on Software Engineering and Information Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3584871.3584912","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

Abstract

The role of social media in news avoidance has become increasingly prominent in recent years. The article has attempted to investigate the effects of social affordances, news overload, and “news finds me” perception (NFM) on people's news avoidance. Building on the understanding of the conceptualization and operationalizations of news avoidance, a research model of social media affordances influencing news avoidance is constructed based on the perspective of cognitive load and technology affordance. The model was empirically tested using data from a sample of 1435 social media users in China by structural equation modeling technique. The findings of the study revealed that perceived news overload and NFM both significantly affect news avoidance; the three dimensions of social media affordances, social articulation, social transparency, and user-generated content, all have significant effects on NFM, while social articulation also has a significant effect on perceived news overload. Finally, the practice implications of these findings are discussed.

查看原文本刊更多论文

社交媒体在新闻回避中的作用:认知负荷和技术提供的视角

近年来，社交媒体在新闻回避中的作用越来越突出。本文试图探讨社会支持、新闻超载和“新闻找到我”感知(NFM)对人们新闻回避的影响。在理解新闻回避的概念化和可操作性的基础上，基于认知负荷和技术支持的视角构建了社交媒体支持影响新闻回避的研究模型。利用结构方程建模技术对中国1435名社交媒体用户的样本数据进行了实证检验。研究发现，感知新闻超载和NFM均显著影响新闻回避;社交媒体可视性、社交清晰度和用户生成内容这三个维度都对NFM有显著影响，而社交清晰度对感知新闻过载也有显著影响。最后，讨论了这些发现的实践意义。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Proceedings of the 2023 6th International Conference on Software Engineering and Information Management

自引率

0.00%

发文量