Public opinion on MOOCs: sentiment and content analyses of Chinese microblogging data

被引:13
|
作者
Zhou, Mingming [1 ]
机构
[1] Univ Macau, Fac Educ, Av Padre Tomas Pereira, Taipa, Macau, Peoples R China
关键词
MOOCs; social media; microblogging; public opinion; content analysis; sentiment analysis; HIGHER-EDUCATION INSTITUTIONS; GENDER-DIFFERENCES; SOCIAL MEDIA; WEB; 2.0; ONLINE; INTERNET; TEXT; IDENTIFICATION; TECHNOLOGY; ACCEPTANCE;
D O I
10.1080/0144929X.2020.1812721
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
The increasing and widespread usage of social media enables the investigation of public preference using the web as a device. Public sentiment as expressed in 44,319 massive open online course (MOOCs) related microblogs from January to December 2017 was examined on Sina Weibo (the Chinese equivalent of Twitter) to obtain broad insight into how MOOCs are viewed by the public in the Chinese educational landscape. Despite the unstable upward trend of public interest in MOOCs over the past 12 months, the public opinion on MOOCs was largely positive. Content and sentiment analyses were conducted to facilitate a better understanding of what is communicated on social media. A general model of public opinions of MOOCs in China has been developed based on the findings. Individuals were classified into a threefold typology based on the sources and purposes of how this recent form of distance education was perceived. Based on the seven themes, the public views towards MOOCs were differentiated among 'promoters', 'commenters' and 'experiencers'.Implications of the findings were also discussed.
引用
收藏
页码:365 / 382
页数:18
相关论文
共 50 条
  • [1] Exploring sentiment parsing of microblogging texts for opinion polling on chinese public figures
    Cheng, Jiajun
    Zhang, Xin
    Li, Pei
    Zhang, Sheng
    Ding, Zhaoyun
    Wang, Hui
    APPLIED INTELLIGENCE, 2016, 45 (02) : 429 - 442
  • [2] Exploring sentiment parsing of microblogging texts for opinion polling on chinese public figures
    Jiajun Cheng
    Xin Zhang
    Pei Li
    Sheng Zhang
    Zhaoyun Ding
    Hui Wang
    Applied Intelligence, 2016, 45 : 429 - 442
  • [3] Research for public opinion of charitable organizations based on microblogging sentiment analysis
    Liu, Zhiming
    Journal of Information and Computational Science, 2015, 12 (03): : 1011 - 1019
  • [4] An Empirical Study of Sentiment Analysis for Chinese Microblogging
    Liu, Zhiming
    Liu, Lu
    Li, Hong
    ELEVENTH WUHAN INTERNATIONAL CONFERENCE ON E-BUSINESS, 2012, : 306 - 311
  • [5] Deep ConvRNN for Sentiment Parsing of Chinese Microblogging Texts
    Cheng, Jiajun
    Zhang, Sheng
    Li, Pei
    Zhang, Xin
    Wang, Hui
    2017 2ND IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND APPLICATIONS (ICCIA), 2017, : 265 - 269
  • [6] Sentiment Classification of Chinese Microblogging Texts with Global RNN
    Cheng, Jiajun
    Li, Pei
    Ding, Zhaoyun
    Zhang, Sheng
    Wang, Hui
    2016 IEEE FIRST INTERNATIONAL CONFERENCE ON DATA SCIENCE IN CYBERSPACE (DSC 2016), 2016, : 653 - 657
  • [7] Public opinion and Chinese exports: evidence from Twitter sentiment analysis
    Deng, Yuping
    Wang, Haicheng
    Wu, Yanrui
    JOURNAL OF THE ASIA PACIFIC ECONOMY, 2024,
  • [8] Social Media and Microblogging: Expanding Boundaries in MOOCs, Conferences and Content Curation
    Spilker, Maria Joao
    Silva, Maria Paula
    Leal, Maria Joao
    Morgado, Lina
    PROCEEDINGS OF THE 2ND EUROPEAN CONFERENCE ON SOCIAL MEDIA (ECSM 2015), 2015, : 421 - 428
  • [9] Modelling Propagation of Public Opinions on Microblogging Big Data Using Sentiment Analysis and Compartmental Models
    Fang, Youjia
    Chen, Xin
    Song, Zheng
    Wang, Tianzi
    Cao, Yang
    INTERNATIONAL JOURNAL ON SEMANTIC WEB AND INFORMATION SYSTEMS, 2017, 13 (01) : 11 - 27
  • [10] Sentiment Analysis of Microblogging Messages for Detecting Public Safety Events
    Masram, Megha S.
    Diwan, Tausif
    HELIX, 2018, 8 (05): : 4024 - 4028