网络左翼的三重面相:基于个案观察和大数据的探索性研究

Abstract

Abstract:

Leftist social thought is not a unitary and coherent system of thought and left-wingers are made up of divergent groups. In this study, we propose a theoretical typology of two dimensions of theoretical resource and ideological orientation to analyze left-wing social thought in online space. A combination of case observations and big data analyses of Weibo tweets is applied to investigate the three types of leftist social thought online, identified as state-centered leftism, populist leftism, and liberal leftism. State-centered leftism features a strong support of the state and the current regime and a negative attitude towards the West. Populist leftism is characterized by the unequivocal affirmation of revolutionary legacies and support of grassroots movements for disadvantaged population. Liberal leftism maintains a grassroots position and a decided affirmation of individual rights. In addition, supervised machine learning and social network analysis techniques are used to identify online communities of the three types of leftist social thought and analyze the interaction patterns within and across the communities as well as the evolution of community structures. This study found that during the period of 2012-2014,the camp of liberal leftist gradually decreased in numbers and the corresponding communities dissolved while the interaction between populist leftist and state-centered leftist camps intensified and the opinion differences between the two increased online confrontations. This article demonstrates that the mixed approach of combining traditional methods with big data analysis has enormous potential in the sub-discipline of digital sociology.

Key words: populism, social thoughts, right-wing, internet, left-wing, big data, network analysis

GUI Yong, HUANG Ronggui, DING Yi. Three Faces of the Online Leftists: An Exploratory Study Based on Case Observation and Big Data Analysis[J]. Chinese Journal of Sociology, 2018, 38(3): 203-239.

References

博比奥,诺贝尔托. 2012.左与右:政治区分的意义[M].陈高华,译. 南京:江苏人民出版社.
陈炎. 2004.“激进”与“保守”·“左派”与“右派”[J]. 河北学刊(5):5-10.
陈尧. 2011.网络民粹主义的躁动:从虚拟集聚到社会运动[J].学术月刊(6):24-29.
方付建、王国华.2010.当代社会思潮:发展取向与干预方式[J]. 长江论坛(3):48-51.
桂勇、李秀玫、郑雯、黄荣贵. 2015.网络极端情绪人群的类型及其政治与社会意涵——基于中国网络社会心态调查数据(2014)的实证研究[J].社会35(5):78-100.
黄荣贵.2010.互联网与抗争行动:理论模型、中国经验及研究发展[J].社会 30(2):178-197.
黄荣贵. 2017. 网络场域、文化认同与劳工关注社群:基于话题模型与社群侦测的大数据分析[J]. 社会 37(2):26-50.
柯卡,于尔根、殷叙彝.2005.社会主义之后的“左”的原则[J]. 当代世界与社会主义(1):152-155.
孙秀林、施润华.2016. 社会学应该拥抱大数据[J].新视野(3):36-41.
马得勇、王丽娜.2015.中国网民的意识形态立场及其形成:一个实证的分析[J].社会 35(5):142-167.
马得勇、张曙霞.2014.中国网民的“左”与“右”[J].二十一世纪(2):86-103.
马立诚.2014.最近四十年中国社会思潮[M]. 北京:东方出版社.
王志强. 2009.中国当代网络民粹思潮评析[J]. 湘潮(下半月)(理论) (5):1-4.
张峰. 2015.国内现阶段的“左”与“右”之争[J].人民论坛(13):72-74.
张纯厚. 2014.论西方左翼思想的三次高潮[J]. 文史哲(1):151-164.
朱学勤. 2003.“新左派”与自由主义之争[J]. 全国新书目(12):37-37.
Bail,Christopher A. 2014.“The Cultural Environment:Measuring Culture with Big Data.”Theory and Society 43(3):465-482.
Benford,Robert D. and David A. Snow. 2000.“Framing Processes and Social Movements:An Overview and Assessment.”Annual Review of Sociology 26(1):611-639.
Bondes,Maria and Günter Schucher. 2014.“Derailed Emotions:The Transformation of Claims and Targets during the Wenzhou Online Incident.”Information,Communication & Society 17(1):45-65.
boyd,danah and Kate Crawford. 2012.“Critical Questions for Big Data.”Information,Communication & Society 15(5):662-679.
Cairns,Christopher and Allen Carlson. 2016. “Real-World Islands in a Social Media Sea:Nationalism and Censorship on Weibo during the 2012 Diaoyu/Senkaku Crisis.”The China Quarterly(225):23-49.
Damm,Jens. 2007.“The Internet and the Fragmentation of Chinese Society.”Critical Asian Studies 39(2):273-294.
DiMaggio,Paul,Eszter Hargittai,W. Russell Neuman,and John P. Robinson.2001.“Social Implications of the Internet.”Annual Review of Sociology 27(1):307-336.
Esarey,Ashley and Qiang Xiao. 2008.“Political Expression in the Chinese Blogosphere:Below the Radar.”Asian Survey 48(5):752-772.
Garcia,David,Adiya Abisheva,Simon Schweighofer,Uwe Serdült, and Frank Schweitzer. 2015.“Ideological and Temporal Components of Network Polarization in Online Political Participatory Media.”Policy & Internet 7(1):46-79.
Gleiss,Marielle Stigum. 2015.“Speaking Up for the Suffering (Br) other:Weibo Activism, Discursive Struggles,and Minimal Politics in China.”Media,Culture & Society 37(4):513-529.
Han,Rongbin. 2015.“Defending the Authoritarian Regime Online:China's ‘Voluntary Fifty-cent Army’.”The China Quarterly(224):1006-1025.
Huang,Ronggui and Xiaoyi Sun. 2016.“Dynamic Preference Revelation and Expression of Personal Frames: How Weibo is Used in an Anti-Nuclear Protest in China.”Chinese Journal of Communication 9(4):385-402.
Hyun,Ki Deuk and Jinhee Kim. 2015.“The Role of New Media in Sustaining the Status Quo:Online Political Expression,Nationalism,and System Support in China.”Information,Communication & Society 18(7):766-781.
King,Gary,Jennifer Pan,and Margaret E. Roberts. 2017.“How the Chinese Government Fabricates Social Media Posts for Strategic Distraction,Not Engaged Argument.”American Political Science Review 111(3):484-501.
Li,He.2015. Political Thought and China's Transformation:Ideas Shaping Reform in Post-Mao China.New York:Palgrave Macmillan.
Li,Shubo. 2010.“The Online Public Space and Popular Ethos in China.”Media, Culture & Society 32(1):63-83.
Mierzejewski,Dominik.2009.“Not to Oppose but to Rethink:The New Left Discourse on the Chinese Reforms.”Journal of Contemporary Eastern Asia 8(1):15-29.
Pan,Jennifer and Yiqing Xu. 2018.“China's Ideological Spectrum.”The Journal of Politics 80 (1):254-273.
Rauchfleisch,Adrian and Mike S.Schäfer. 2015.“Multiple Public Spheres of Weibo:A Typology of Forms and Potentials of Online Public Spheres in China.”Information,Communication & Society 18(2):139-155.
Small,Mario Luis. 2009.“How Many Cases Do I Need? On Science and the Logic of Case Selection in Field-based Research.”Ethnography 10(1):5-38.
Tai,Zixue. 2015.“Networked Resistance:Digital Populism,Online Activism,and Mass Dissent in China.”Popular Communication 13(2):120-131.
Tibshirani,Robert,Guenther Walther,and Trevor Hastie. 2001.“Estimating the Number of Data Clusters via the Gap Statistic.”Journal of the Royal Statistical Society B(63):411-423.
Tong,Yanqi and Shaohua Lei. 2013.“War of Position and Microblogging in China.”Journal of Contemporary China 22(80):292-311.
Wu,Angela Xiao. 2014.“Ideological Polarization Over a China-as-Superpower Mind-Set:An Exploratory Charting of Belief Systems among Chinese Internet Users,2008-2011.”International Journal of Communication (8):2243-2272.
Yu,Louis Lei,Sitaram Asur, and Bernardo A. Huberman. 2015.“Trend Dynamics and Attention in Chinese Social Media.”American Behavioral Scientist 59(9):1142-1156.

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Three Faces of the Online Leftists: An Exploratory Study Based on Case Observation and Big Data Analysis

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