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The Internet in China: New Methods and Opportunities

  • Yang Zhang
Chapter

Abstract

This chapter reviews methodological advances in Internet studies in Chinese politics. First, automated text analysis reduces the time and cost of examining texts, and makes it possible to conduct a large-scale analysis of textual data like social media posts. Tools of automated text analysis, such as supervised classification, ReadMe, and topic models, have been applied in Internet studies in Chinese politics. Second, the new methods also bring new opportunities for developing rigorous research designs: (1) the Internet can serve as a platform for online field and survey experiments; (2) in some cases, in particular natural experiments, big data make it easier to conduct causal inference; (3) and with big data, there is potential to make inference with regard to a broader context.

References

  1. Bishop, Christopher. 2006. Pattern Recognition and Machine Learning. Springer.Google Scholar
  2. 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.CrossRefGoogle Scholar
  3. Chen, Jidong, Jennifer Pan, and Yiqing Xu. 2016. “Sources of Authoritarian Responsiveness: A Field Experiment in China.” American Journal of Political Science 60 (2): 383–400.CrossRefGoogle Scholar
  4. Chen, Yu-Wen. 2011. “Quantitative Content Analysis of Chinese Texts?: A Methodological Note.” Journal of Chinese Political Science 16: 431–443.CrossRefGoogle Scholar
  5. Clark, William Roberts, and Matt Golder. 2015. “Big Data, Causal Inference, and Formal Theory: Contradictory Trends in Political Science?” PS: Political Science & Politics 48 (1): 65–70.Google Scholar
  6. CNNIC. 2016. “CNNIC Fabu Di 38 Ci ‘zhongguo Hulianwang Fazhan Zhuangkuang Tongji Baogao.’” http://www.cnnic.cn/gywm/xwzx/rdxw/2016/201608/t20160803_54389.htm.
  7. Distelhorst, Greg, and Yue Hou. 2017 Online First. “Constituency Service Under Nondemocratic Rule: Evidence from China.” The Journal of Politics 79 (3).Google Scholar
  8. Distelhorst, Greg, and Yue Hou. 2014. “Ingroup Bias in Official Behavior: A National Field Experiment in China.” Quarterly Journal of Political Science 9: 203–230.CrossRefGoogle Scholar
  9. Esarey, Ashley, and Xiao Qiang. 2008. “Political Expression in the Chinese Blogosphere.” Asian Survey 48 (5): 752–772.CrossRefGoogle Scholar
  10. Fu, King Wa, Chung-Hong Chan, and Michael Chau. 2013. “Assessing Censorship on Microblogs in China: Discriminatory Keyword Analysis and the Real-Name Registration Policy.” EEE Internet Computing 17 (3): 42–50.CrossRefGoogle Scholar
  11. Gries, Peter, Matthew Sanders, David Stroup, and Huajian Cai. 2015. “Hollywood in China: How American Popular Culture Shapes Chinese Views of the ‘Beautiful Imperialist’ – An Experimental Analysis.” The China Quarterly 224: 1070–1082.CrossRefGoogle Scholar
  12. Grimmer, Justin, and Brandon Stewart. 2013. “Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts.” Political Analysis 21: 267–297.CrossRefGoogle Scholar
  13. Han, Rongbin. 2015. “Defending the Authoritarian Regime Online: China’s ‘Voluntary Fifty-Cent Army.’” The China Quarterly 224: 1006–1025.CrossRefGoogle Scholar
  14. Hastie, Trevor, Robert Tibshirani, and Jerome Friedman. 2008. The Elements of Statistical Learning: Data Mining, Inference, and Prediction (Second Edition). Springer.Google Scholar
  15. Hobbs, William, and Margaret Roberts. 2016. “How Sudden Censorship Can Increase Access to Information.” Working Paper.Google Scholar
  16. Hoffmann, Robert, and Jeremy Larner. 2013. “The Demography of Chinese Nationalism: A Field-Experimental Approach.” The China Quarterly 213: 189–204.CrossRefGoogle Scholar
  17. Hopkins, Daniel, and Gary King. 2010. “A Method of Automated Nonparametric Content Analysis for Social Science.” American Journal of Political Science 54 (1): 229–247.CrossRefGoogle Scholar
  18. Huang, Haifeng. 2015. “International Knowledge and Domestic Evaluations in a Changing Society: The Case of China.” American Political Science Review 109 (3): 613–634.CrossRefGoogle Scholar
  19. Japec, Lilli, Frauke Kreuter, Marcus Berg, Paul Biemer, Paul Decker, Cliff Lampe, Julia Lane, Cathy O’Neil, and Abe Usher. 2015. “Big Data in Survey Research AAPOR Task Force Report.” Public Opinion Quarterly 79 (4).CrossRefGoogle Scholar
  20. King. 2014. “Reverse-Engineering Censorship in China: Randomized Experimentation and Participant Observation.”Google Scholar
  21. King, Gary, Patrick Lam, and Margaret Roberts. 2017a. “Computer-Assisted Keyword and Document Set Discovery from Unstructured Text.” Working Paper.Google Scholar
  22. King, Gary, Jennifer Pan, and Margaret Roberts. 2013. “How Censorship in China Allows Government Criticism but Silences Collective Expression.” American Political Science Review 107 (2): 326–343.CrossRefGoogle Scholar
  23. King, Gary, Jennifer Pan, and Margaret Roberts. 2014. “Reverse-Engineering Censorship in China: Randomized Experimentation and Participant Observation.” Science 345 (6199): 1251722.1–1251722.10.Google Scholar
  24. King, Gary, Jennifer Pan, and Margaret Roberts. 2017b. “How the Chinese Government Fabricates Social Media Posts for Strategic Distraction, Not Engaged Argument.” Working Paper.Google Scholar
  25. Laney, Douglas. 2001. “3-D Data Management: Controlling Data Volume, Velocity, and Variety.” META Group Research Note. http://gtnr.it/1bKflKH.
  26. Lazer, David, Ryan Kennedy, Gary King, and Alessandro Vespignani. 2014. “The Parable of Google Flu: Traps in Big Data Analysis.” Science 343 (6176): 1203–1205.CrossRefGoogle Scholar
  27. Lazer, David, Alex Pentland, Lada Adamic, Sinan Aral, Albert-László Barabási, Devon Brewer, Nicholas Christakis, et al. 2009. “Computational Social Science.” Science 323 (5915): 721–723.CrossRefGoogle Scholar
  28. Lee, Siu-yau. 2016. “Surviving Online Censorship in China: Three Satirical Tactics and Their Impact.” The China Quarterly 228: 1061–1080.CrossRefGoogle Scholar
  29. Lei, Xuchuan, and Jie Lu. 2017. “Revisiting Political Wariness in China’s Public Opinion Surveys: Experimental Evidence on Responses to Politically Sensitive Questions.” Journal of Contemporary China 26 (104): 213–232.CrossRefGoogle Scholar
  30. Lei, Ya-Wen. 2011. “The Political Consequences of the Rise of the Internet: Political Beliefs and Practices of Chinese Netizens.” Political Communication 28 (3): 291–322.CrossRefGoogle Scholar
  31. Liu, Lizhi. 2017. “From Click to Boom: The Political Economy of E-Commerce Growth in China.”Google Scholar
  32. Lu, Xiaobo, Kenneth Scheve, and Matthew Slaughter. 2012. “Inequity Aversion and the International Distribution of Trade Protection.” American Journal of Political Science 56 (3): 638–654.CrossRefGoogle Scholar
  33. Lucas, Christopher, Richard Nielsen, Margaret Roberts, Brandon Stewart, Alex Storer, and Dustin Tingley. 2015. “Computer-Assisted Text Analysis for Comparative Politics.” Political Analysis 23: 254–277.CrossRefGoogle Scholar
  34. Mattingly, Daniel. 2016. “Elite Capture: How Decentralization and Informal Institutions Weaken Property Rights in Rural China.” World Politics 68 (3): 383–412.CrossRefGoogle Scholar
  35. McDermott, Rose. 2002. “Experimental Methodology in Political Science.” Political Analysis 10 (4): 325–342.CrossRefGoogle Scholar
  36. Meng, Tianguang, and Fenglin Guo. 2015. “Da Shuju Zhengzhixue: Xin Xinxi Shidai De Zhengzhi Xianxiang Jiqi Tanxi Lujing.” Foreign Theoretical Trends (1): 46–56.Google Scholar
  37. Meng, Tianguang, Jennifer Pan, and Ping Yang. 2017. “Conditional Receptivity to Citizen Participation: Evidence from a Survey Experiment in China” 50 (4): 399–433.CrossRefGoogle Scholar
  38. Morton, Rebecca, and Kenneth Williams. 2010. Experimental Political Science and the Study of Causality: From Nature to the Lab. Cambridge University Press.Google Scholar
  39. Mou, Yi, David Atkin, and Hanlong Fu. 2011. “Predicting Political Discussion in a Censored Virtual Environment.” Political Communication 28 (3): 341–356.CrossRefGoogle Scholar
  40. Nip, Joyce, and King Wa Fu. 2016. “Challenging Official Propaganda? Public Opinion Leaders on Sina Weibo.” The China Quarterly 225: 122–144.CrossRefGoogle Scholar
  41. Pan, Jennifer. 2017. “How Chinese Officials Use the Internet to Construct Their Public Image.” Working Paper.Google Scholar
  42. Pan, Jennifer, and Yiqing Xu. 2017. “China’s Ideological Spectrum.” Working Paper.Google Scholar
  43. Pang, Cuiming. 2008. “Self-Censorship and the Rise of Cyber Collectives: An Anthropological Study of a Chinese Online Community.” Intercultural Communication Studies 17 (3): 57–76.Google Scholar
  44. Roberts, Margaret, Brandon Stewart, Dustin Tingley, Christopher Lucas, Jetson Leder-Luis, Shana Kushner Gadarian, Bethany Albertson, and David Rand. 2014. “Structural Topic Models for Open-Ended Survey Responses.” American Journal of Political Science 58 (4): 1064–1082.CrossRefGoogle Scholar
  45. Ruths, Derek, and Jürgen Pfreffer. 2014. “Social Media for Large Studies of Behavior.” Science 346 (6213): 1063–1064.CrossRefGoogle Scholar
  46. Salganik, Matthew. 2017. Bit by Bit: Social Research in the Digital Age. Princeton University Press.Google Scholar
  47. Shah, Dhavan, Joseph Cappella, and Russell Neuman. 2015. “Big Data, Digital Media, and Computational Social Science: Possibilities and Perils.” The ANNALS of the American Academy of Political and Social Science 659 (1): 6–13.CrossRefGoogle Scholar
  48. Shen, Simon. 2011. “Exploring the Neglected Constraints on Chindia: Analysing the Online Chinese Perception of India and Its Interaction with China’s Indian Policy.” The China Quarterly 2017: 541–560.CrossRefGoogle Scholar
  49. Shen, Simon. 2012. “Online Chinese Perceptions of Latin America: How They Differ from the Official View.” The China Quarterly 209: 157–177.CrossRefGoogle Scholar
  50. Shi, Tianjian, Jie Lu, and John Aldrich. 2011. “Bifurcated Images of the U.S. in Urban China and the Impact of Media Environment.” Political Communication 28 (3): 357–376.CrossRefGoogle Scholar
  51. Su, Zheng, and Tianguang Meng. 2016. “Selective Responsiveness: Online Public Demands and Government Responsiveness in Authoritarian China.” Social Science Research 59: 52–67.CrossRefGoogle Scholar
  52. Tai, Qiuqing, and Rory Truex. 2015. “Public Opinion towards Return Migration: A Survey Experiment of Chinese Netizens.” The China Quarterly 223: 770–786.CrossRefGoogle Scholar
  53. Tang, Wenfang. 2015. “Da Shuju Yu Xiao Shuju: Shehui Kexue Yanjiu Fangfa De Tantao.” Journal of Sun Yatsen University Social Science Edition 55 (6): 141–146.Google Scholar
  54. Tang, Wenfang. 2016. Populist Authoritarianism: Chinese Political Culture and Regime Sustainability. Oxford University Press.Google Scholar
  55. Tang, Wenfang, Yang Zhang, and Sheri Martin. 2017. “Revolution Postponed: The Limitation of the Internet in Promoting Democracy in China.” In Changing State-Society Relations in Contemporary China, 169–205. New Jersey, London and Singapore: World Scientific.Google Scholar
  56. Wang, Wilfred Yang. 2013. “Weibo, Framing, and Media Practices in China.” Journal of Chinese Political Science 18 (4): 375–388.CrossRefGoogle Scholar
  57. Wang, Xi, Zhiya Zuo, Yang Zhang, Kang Zhao, Yung-Chun Chang, and Chin-Shun Chou. 2016. “Investigating Regional Prejudice in China Through the Lens of Weibo.” In Proceedings of the 8th International Conference on Social Informatics, 500–513.Google Scholar
  58. Whiting, Susan. 2017 Online First. “Authoritarian ‘Rule of Law’ and Regime Legitimacy.” Comparative Political Studies.Google Scholar
  59. Yang, Guobin. 2003a. “The Internet and Civil Society in China: A Preliminary Assessment.” Journal of Contemporary China 12 (36): 453–475.CrossRefGoogle Scholar
  60. Yang, Guobin. 2003b. “The Internet and the Rise of a Transnational Chinese Cultural Sphere.” Media, Culture & Society 25: 469–490.CrossRefGoogle Scholar
  61. Yang, Guobin. 2007. “How Do Chinese Civic Associations Respond to the Internet? Findings from a Survey.” The China Quarterly 189: 122–143.CrossRefGoogle Scholar
  62. Yang, Guobin. 2009a. “Online Activism.” Journal of Democracy 20 (3): 33–36.CrossRefGoogle Scholar
  63. Yang, Guobin. 2009b. The Power of the Internet in China: Citizen Activism Online. Columbia University Press.Google Scholar
  64. Zamith, Rodrigo, and Seth Lewis. 2015. “Content Analysis and the Algorithmic Coder: What Computational Social Science Means for Traditional Modes of Media Analysis.” The ANNALS of the American Academy of Political and Social Science 659 (1): 307–318.CrossRefGoogle Scholar

Copyright information

© The Author(s) 2019

Authors and Affiliations

  • Yang Zhang
    • 1
  1. 1.Department of Political ScienceSouthwest Jiaotong UniversityChengduChina

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