Selective responsiveness: Online public demands and government responsiveness in authoritarian China |
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| Institution: | 1. School of Information, University of South Florida, USA;2. Department of Communication, University at Albany, State University of New York, USA;3. Computer Science Department, College of Engineering and Applied Sciences, University at Albany, State University of New York, USA;4. Department of Economics, University at Albany, State University of New York, USA;5. Senior Software Engineer at General Dynamics Mission Systems, Pittsfield, MA; National Center for Adaptive Neurotechnologies, Albany, NY, USA;6. Center for Advanced Computer Studies, University of Louisiana at Lafayette, USA;1. Centre for Health Systems, Department of Preventive and Social Medicine, University of Otago, PO Box 56, Dunedin 9054, New Zealand;2. Department of Psychology, University of Otago, PO Box 56, Dunedin 9054, New Zealand;3. Department of Preventive and Social Medicine, University of Otago, PO Box 56, Dunedin 9054, New Zealand |
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| Abstract: | The widespread use of information and communication technology (ICT) has reshaped the public sphere in the digital era, making online forums a new channel for political participation. Using big data analytics of full records of citizen-government interactions from 2008 to early 2014 on a nationwide political forum, we find that authoritarian China is considerably responsive to citizens' demands with a rapid growth of response rate; however, government responsiveness is highly selective, conditioning on actors' social identities and the policy domains of their online demands. Results from logistic and duration models suggest that requests which made by local citizens, expressed collectively, focused on the single task issue, and are closely related to economic growth are more likely to be responded to. These strategies adopted by Chinese provincial leaders reveal the scope and selectivity of authoritarian responsiveness. |
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| Keywords: | Authoritarianism Selective responsiveness Online forum Big data China |
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