Understanding how the semantic features of contents influence the diffusion of government microblogs: Moderating role of content topics-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Understanding how the semantic features of contents influence the diffusion of government microblogs: Moderating role of content topics

Published:2021-12 Issue:8 Volume:58 Page:103547
ISSN:0378-7206
Container-title:Information & Management
language:en
Short-container-title:Information & Management

Author:

Feng Xiaodong^ORCID,Hui Kangxin,Deng Xin,Jiang Guoyin

Funder

National Office for Philosophy and Social Sciences

Humanities and Social Science Fund of Ministry of Education of China

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Information Systems and Management,Information Systems,Management Information Systems

Reference67 articles.

1. Why do citizens participate on government social media accounts during crises? a civic voluntarism perspective;Guo;Information & Management,2021

2. A framework for interpreting social media interactions in the public sector;Mergel;Gov Inf Q,2013

3. The Russians are Hacking My Brain - investigating Russia’s internet research agency Twitter tactics during the 2016 United States presidential campaign;Linvill;Comput Human Behav,2019

4. Understanding news 2.0: a framework for explaining the number of comments from readers on online news;Liu;Information & Management,2015

5. Factors influencing the popularity of customer-generated content in a company-hosted online co-creation community: a social capital perspective;Yang;Comput Human Behav,2016

Cited by 22 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Effects of sentiment quantity, dispersion, and dissimilarity on online review forwarding behavior: An empirical analysis;Journal of Retailing and Consumer Services;2024-11

2. The diffusion of malicious content on Twitter and its impact on security;Information & Management;2024-07

3. Membership bundles in content platforms: Bundle decision and content distribution;Information & Management;2024-04

4. Who are the best voluntary disseminators on social networking sites? An exploration based on panel data from twitter;Kybernetes;2024-03-08

5. Dissemination of health messages in online social network: A study of healthcare providers’ content generation and dissemination on Twitter;Information & Management;2024-03

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