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Influence of Economic Development on Prosocial Tendencies in Social Media: A Big-Data Analysis of 95 Chinese Cities

机译:经济发展对社会媒体的女性趋势的影响:95中国城市的大数据分析

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The prosocial tendency of a city has become an important indicator to evaluate the urban social environment. Moreover, a series of small-sample studies have provided evidence of significant differences in the prosocial behavior of cities. These findings raise some questions: Does urbanization make people more indifferent? What are the differences in the prosocial tendencies of cities resulting from the urbanization process? Does economic development affect urban prosocial tendencies? These questions need to be urgently addressed in China, given its rapid urbanization and drastic social transformation. In this study, we constructed prosocial indexes for 95 Chinese cities based on Sina Microblog data for 2017, explored the laws governing the prosocial index of cities and examined the relationship between the urban economy and prosocial tendencies. Results showed significant differences between prosocial indexes at the region and tier level. At the region level, the highest prosocial index is in Northwest China and the lowest in East China. At the tier level, the highest index is in tier-5 cities, followed by tier-1 cities, while the lowest is in tier-3 cities. Further analysis indicated that urban GDP and prosocial tendencies have a u-shaped curvilinear correlation. Understanding the characteristics of prosocial tendencies could provide insights to enhance the quality of the urban social environment.
机译:一个城市的女性倾向已成为评估城市社会环境的重要指标。此外,一系列小型样本研究提供了城市的口语行为差异的显着差异。这些调查结果提出了一些问题:城市化使人们更加漠不染吗?城市化进程造成的城市的女性倾向趋势是什么?经济发展是否影响了城市的女性倾向?考虑到其快速城市化和剧烈的社会转型,需要在中国迫切地解决这些问题。在这项研究中,我们根据2017年的新浪微博数据构建了95个中国城市的女性指数,探讨了有关城市的女性指数的法律,并研究了城市经济与女性趋势之间的关系。结果表明,该地区的女性指标与层级的概率指标之间存在显着差异。在地区一级,最高的女性指数在西北部和华东地区最低。在层面,最高指数是在第5级城市,其次是第1级城市,而最低的是第3位城市。进一步分析表明,城市GDP和女性倾向具有U形曲线相关性。了解口语倾向的特征可以提供提高城市社会环境质量的见解。

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