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Global social media,local context A case study of Chinese-language tweets about the 2012 presidential election in Taiwan

机译:全球社交媒体,当地背景以2012年台湾总统大选的中文推文为例

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Purpose - Social media connect individuals in different geographical location and allow people of different political and cultural backgrounds to discuss and participate in events that occur in distant corners of the globe. But; this does not suggest that social media promote homogeneous globalization. Rather, the local and its interactions with the global or regional views remain a powerful force in the realm of social media. The purpose of this paper is to take on the local/global factors in the social media service Twitter and analyzed the keyword-captured Chinese language tweets relating to the 2012 presidential election in Taiwan. Design/methodology/approach - Language code usage was used to sort out the community origins of Chinese language tweets relating to the election, given that distinct types and codes of Chinese characters are used within each political border. Community-specific patterns of communication were identified by cross-correlating language styles, tweeting frequency and participating users. Social network analysis was used to further characterize the local factors in the global social media. Findings - The authors found that the language styles and character types can be used to identify the regions to which the users belong. The authors were able to identify community-specific patterns of communication and reconstruct a social network that exhibits local characteristics. Originality/value - The results demonstrate that language code can be used to identify the community origin of Chinese tweets. This will enable fine-grain content-based analysis of the Chinese language social media.
机译:目的-社交媒体将处于不同地理位置的个人联系起来,并允许具有不同政治和文化背景的人们讨论和参与在世界遥远的角落发生的事件。但;这并不意味着社交媒体促进了同质化的全球化。相反,本地及其与全球或区域观点的互动仍然是社交媒体领域的强大力量。本文旨在探讨社交媒体服务Twitter中的本地/全球因素,并分析与2012年台湾总统大选有关的用关键字捕获的中文推文。设计/方法/方法-假定在每个政治边界内使用不同类型的汉字代码,则使用语言代码来整理与选举相关的汉语推文的社区起源。通过互相关的语言样式,发推频率和参与用户来确定特定于社区的交流模式。社交网络分析被用来进一步表征全球社交媒体中的本地因素。调查结果-作者发现,语言样式和字符类型可用于标识用户所属的区域。作者能够确定特定于社区的交流方式,并重建具有本地特色的社交网络。原创性/价值-结果表明,语言代码可用于识别中国推文的社区起源。这将使对中文社交媒体进行基于内容的细粒度分析。

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