An Examination of How Social and Technological Perceptions Predict Social Media News Use on WeChat

被引：6

作者：

Peng, Zhao ^{[1
]}

Miller, Serena ^{[1
]}

机构：

[1] Michigan State Univ, Sch Journalism, E Lansing, MI 48824 USA

来源：

JOURNALISM PRACTICE | 2023年 / 17卷 / 03期

关键词：

WeChat; social media news use; unified theory acceptance and use of technology model; task-technology fit model; technological features; closed social media platforms; journalism; INFORMATION-TECHNOLOGY; PERCEIVED USEFULNESS; MOBILE MEDIA; USAGE; ENGAGEMENT; ACCEPTANCE; EXTENSION; MODEL; EASE; COMMUNICATION;

D O I：

10.1080/17512786.2021.1925948

中图分类号：

G2 [信息与知识传播];

学科分类号：

05 ; 0503 ;

摘要：

The decision to use a particular social media application for news is affected by many factors, but less is understood is how a platform's technological features promote or impede people's social media news use. A structural equation model derived from the Unified Theory Acceptance and Use of Technology and Task-Technology Fit models were applied to investigate what social and technological perceptional factors explain people's news use behaviors within the context of WeChat. Results showed an application's technological features (i.e., technology characteristics and task-technology fit) played a significant role in predicting multiple social media news use behaviors. We put forth a theoretical model that predicts social media news use based on the results.

引用

页码：554 / 573

页数：20

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