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伴随着互联网的发展,网络日益成为公众与政府互动的重要平台。本研究以人民网地方政府留言板为例,采集了2008-2014年21万发帖,从身份认同和政治价值取向两个角度来探索公众在网络平台的表达行为模式与政府的回应模式。研究发现,公众更愿意使用与工作、居住地等相关的集体认同表述(内集体话语),而不愿使用个体话语或者更宏大的集体认同(泛集体话语)表达诉求,政府对内集体话语的回应高于后两者。在政治价值取向上,民主话语、贤能话语和混合话语表达并存,民主话语多于贤能话语,政府对贤能话语的回应最高,民主话语次之,无取向话语最低。总之,网民具备策略性表达诉求的可能,基于内集体话语、贤能话语或民主话语的诉求均提升了政府回应。
Abstract：In the internet era,E-Government provides us a new opportunity to examine the interaction between netizens' demands expression and government responses.Based on more than 210 000 records in a Chinese national e-government forum from 2008 to June 2014,the authors analyze the netizens' discourse of expressing their demands and then explore the pattern of government responsiveness.From the perspective of group identity,the results show that in general netizens prefer the discourse of relational collectivism.Governments are more likely to respond to the requests reflecting relational collectivism,other than the posts focusing on the requests of whole society or the individual.In addition,we classify the requests into meritocracy and democracy from the perspective of political value.Although more netizens favor the discourse with the value of democracy,the government are more likely to respond to the posts reflecting meritocracy.The posts lacking of expressive values are less likely to be responded to.In sum,the results reveal that Chinese netizens strategically express their requests reflecting different political values,such as the discourses of relational collectivism and meritocracy.
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(3)感谢清华大学数据治理研究中心提供的数据和技术支持。
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(5)孟天广、李锋:《网络空间的政治互动:公民诉求与政府回应性——基于全国性网络问政平台的大数据分析》。
(1)Z.Su,T.Meng."Selective Responsiveness:Online Public Demands and Government Responsiveness in Authoritarian China".
(2)需要指出的是,分类并不简单基于每个词语,而是综合考察其出现频次以及词汇间的共显关系等。
(1)孟天广、李锋:《网络空间的政治互动:公民诉求与政府回应性——基于全国性网络问政平台的大数据分析》。
基本信息:
DOI：10.14086/j.cnki.wujhs.2016.05.015
中图分类号:G206;H136
引用信息:
[1]李锋,孟天广.策略性政治互动:网民政治话语运用与政府回应模式[J].武汉大学学报(人文科学版),2016,69(05):119-129.DOI:10.14086/j.cnki.wujhs.2016.05.015.
基金信息:
国家社会科学基金青年项目(15CZZ036); 北京市自然科学基金青年项目(9154030); 北京大学翁洪武基金(WHW201510); 复旦大学陈树渠比较政治发展研究中心2015年课题(CCPDS-FudanNDKT15015)