|
|
The Dissemination of Online Public Opinion on Social Welfare Issues via New Media: Case Study of “Draw up the Lifeline” in Sina Weibo |
Wang Xiwei1,2, Zhang Liu1( ), Li Shimeng1, Wang Nan’axue1 |
1School of Management, Jilin University, Changchun 130022, China 2Research Center for Big Data Management, Jilin University, Changchun 130022, China |
|
|
Abstract [Objective] The paper aims to help the government administrate online public opinion and social media profiles more effectively. [Methods] First, we retrieved data on the topic of “Draw up the Lifeline” from Sina Weibo. Then, we used centrality, cluster and K-core indicators to analyze the network structure and dissemination patterns of public opinion with new media. [Results] We found that online public opinion is disseminated through a scale-free network, and all communities had similar structures. The core network was relatively close but widely distributed, and the mobile technology played some major roles. [Limitations] The collected data was not comprehensive and the inactive users were not removed, which might generate some biased results. [Conclusions] This paper provides some new perspectives to research on social welfare movements. It also lists some practical guides to regulate online public opinion.
|
Received: 11 April 2017
Published: 25 August 2017
|
|
[1] |
Rosenkrantz A B, Hawkins C M.Use of Twitter Polls to Determine Public Opinion Regarding Content Presented at a Major National Specialty Society Meeting[J]. Journal of the American College of Radiology, 2016, 14(2): 177-182.
doi: 10.1016/j.jacr.2016.07.024
pmid: 27687748
|
[2] |
Ortigosa A, Martin J M, Carro R M.Sentiment Analysis in Facebook and Its Application to E-learning[J]. Computers in Human Behavior, 2014, 31(1): 527-541.
doi: 10.1016/j.chb.2013.05.024
|
[3] |
Gonzalezbailon S, Paltoglou G.Signals of Public Opinion in Online Communication: A Comparison of Methods and Data Sources[J]. The Annals of the American Academy of Political and Social Science, 2015, 659(1): 95-107.
doi: 10.1177/0002716215569192
|
[4] |
杜阿宁. 互联网舆情信息挖掘方法研究[D]. 哈尔滨: 哈尔滨工业大学, 2007.
|
[4] |
(Du A’ning.Public Opinion Mining on the Internet[D]. Harbin: Harbin Institute of Technology, 2007.)
|
[5] |
魏超. 新媒体技术发展对网络舆情信息工作的影响研究[J]. 图书情报工作, 2014, 58(1): 30-34.
|
[5] |
(Wei Chao.Study on the Impact of New Media Technology Development on Internet Public Opinion Information Work[J]. Library and Information Service, 2014, 58(1): 30-34.)
|
[6] |
廖海涵, 王曰芬. 社交媒体舆情信息传播效果影响因素研究——以新浪微博“8.12天津爆炸”事件为例[J]. 现代图书情报技术, 2016(12): 85-93.
|
[6] |
(Liao Haihan, Wang Yuefen.Public Opinion Dissenmination over Social Media: Case Study of Sina Weibo and “8.12 Tianjin Explosion”[J]. New Technology of Library and Information Service, 2016(12): 85-93.)
|
[7] |
陈璟浩, 李纲. 突发社会安全事件网络舆情演化的生存分析——基于70起重大社会安全事件的分析[J]. 情报杂志, 2016, 35(4): 70-74.
doi: 10.3969/j.issn.1002-1965.2016.04.014
|
[7] |
(Chen Jinghao, Li Gang.A Survival Analysis of Network Public Opinion Evolution in Social Security Emergency—Based on 70 Major Social Security Emergencies Analysis[J]. Journal of Intelligence, 2016, 35(4): 70-74.)
doi: 10.3969/j.issn.1002-1965.2016.04.014
|
[8] |
何跃, 邓姝颖, 马玉凤, 等.突发事件中微博用户社群舆情传播特征研究[J]. 情报科学, 2016, 34(6): 14-18.
|
[8] |
(He Yue, Deng Shuying, Ma Yufeng, et al.Analysis on Microblog Users’ Community Discovery and Communication Features in Public Emergency[J]. Information Science, 2016, 34(6): 14-18.)
|
[9] |
曾润喜. 网络舆情信息资源共享研究[J]. 情报杂志, 2009, 28(8): 187-191.
|
[9] |
(Zeng Runxi.Research on Information Resource Sharing of Network Opinion[J]. Journal of Intelligence, 2009, 28(8): 187-191.)
|
[10] |
李兰. 新形势下公共危机事件网络舆情应对分析[D]. 武汉: 华中科技大学, 2015.
|
[10] |
(Li Lan.The Analysis of Public Opinion Management on Public Crisis Events of New Condition[D]. Wuhan: Huazhong University of Science & Technology, 2015.)
|
[11] |
李培铭. 传统媒体与新媒体有效融合的途径分析[J]. 新媒体研究, 2016, 2(10): 62-63.
|
[11] |
(Li Peiming.The Effective Ensemble Method of the Traditional Media and the New Media[J]. New Media Research, 2016, 2(10): 62-63.)
|
[12] |
González M A.Opinión Pública Y Web 2.0. Las Redes Digitalizan El Barómetro Político En España[J]. Revista Mexicana De Opinión Pública, 2016, 21: 95-113.
|
[13] |
Heinrich T, Kobayashi Y, Bryant K A.Public Opinion and Foreign Aid Cuts in Economic Crises[J]. World Development, 2016, 77: 66-79.
doi: 10.1016/j.worlddev.2015.08.005
|
[14] |
裴雷, 马费成. 社会网络分析在情报学中的应用和发展[J]. 图书馆论坛, 2006, 26(6): 40-45.
|
[14] |
(Pei Lei, Ma Feicheng.The Application of Social Network Analysis (SNA) in Information Science[J]. Library Tribune, 2006, 26(6): 40-45.)
|
[15] |
Molano S, Polo A.Social Network Analysis in a Learning Community[J]. Procedia-Social and Behavioral Sciences, 2015, 185: 339-345.
doi: 10.1016/j.sbspro.2015.03.381
|
[16] |
Senghore F, Campos-Nanez E, Fomin P, et al.Using Social Network Analysis to Investigate the Potential of Innovation Networks: Lessons Learned from NASA’s International Space Apps Challenge[J]. Procedia Computer Science, 2014, 28: 380-388.
doi: 10.1016/j.procs.2014.03.047
|
[17] |
雷辉, 聂珊珊, 黄小宝, 等. 基于社会网络分析的网络传播主体行为特征研究[J]. 情报杂志, 2015, 34(1): 161-168.
|
[17] |
(Lei Hui, Nie Shanshan, Huang Xiaobao, et al.The Behavior Characteristics of Network Disseminators: An Empirical Study Based on Social Network Anaysis[J]. Journal of Intelligence, 2015, 34(1): 161-168.)
|
[18] |
王国华, 魏程瑞, 钟声扬, 等. 微博意见领袖的网络媒介权力之量化解读及特征研究——基于社会网络分析的视角[J]. 情报杂志, 2015, 34(7): 117-124.
doi: 10.3969/j.issn.1002-1965.2015.07.022
|
[18] |
(Wang Guohua, Wei Chengrui, Zhong Shengyang, et al.A Quantitative Interpretation and Characteristics Study of Microblog Opinion Leader’s Network Media Power—A Perspective of Social Network Analysis[J]. Journal of Intelligence, 2015, 34(7): 117-124.)
doi: 10.3969/j.issn.1002-1965.2015.07.022
|
[19] |
滕广青, 贺德方, 彭洁, 等. 基于网络中心性的领域知识动态演化研究[J]. 图书情报工作, 2016, 60(14): 128-134.
doi: 10.13266/j.issn.0252-3116.2016.14.016
|
[19] |
(Teng Guangqing, He Defang, Peng Jie, et al.Research on the Dynamic Evolution of Domain Knowledge Based on the Network Centrality[J]. Library and Information Service, 2016, 60(14): 128-134.)
doi: 10.13266/j.issn.0252-3116.2016.14.016
|
[20] |
张顺龙, 库涛, 周浩. 针对多聚类中心大数据集的加速K-means聚类算法[J]. 计算机应用研究, 2016, 33(2): 413-416.
doi: 10.3969/j.issn.1001-3695.2016.02.021
|
[20] |
(Zhang Shunlong, Ku Tao, Zhou Hao.Accelerate K-means for Multi-center Clustering of Big Datasets[J]. Application Research of Computers, 2016, 33(2): 413-416.)
doi: 10.3969/j.issn.1001-3695.2016.02.021
|
[21] |
白林根, 谌志群, 王荣波, 等. 微博关注关系网络K-核结构实证分析[J]. 现代图书情报技术, 2013(11): 68-74.
|
[21] |
(Bai Lin’gen, Chen Zhiqun, Wang Rongbo, et al.Empirical Analysis on K-core of Microblog Following Relationship Network[J]. New Technology of Library and Information Service, 2013(11): 68-74.)
|
[22] |
王海迪. 新媒体时代微博公益传播认同塑造的机制研究[J]. 西部学刊, 2016(16): 58-61.
|
[22] |
(Wang Haidi.A Survey on the Mechanism of Modeling Identification through the Weibo Public Welfare’s Propogation in New Media Epoch[J]. Journal of Western, 2016(16): 58-61.)
|
[23] |
陈萌. 对我国微博公益平台的思考[J]. 新闻世界, 2012(2): 52-53.
|
[23] |
(Chen Meng.The Consideration Towards Weibo Public Platform in China[J]. News World, 2012(2): 52-53.)
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
|
Shared |
|
|
|
|
|
Discussed |
|
|
|
|