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对UGC机制下档案用户虚拟在线社区构建意义的阐述,解释社区构建的合理性,并通过对不同档案虚拟社区实例的调查,发现每个社区类型的最优功能,并提出最佳的UGC构建途径,具体包括融入TAG、简化注册、把控话题、优化问答生成、跨屏跟进等机制的运用。同时还要注重社区必要的监控与调度,在互联网伦理道德允许范围内,行使个人权利。 相似文献
12.
Jingrong Tong 《亚洲交流杂志》2015,25(6):600-616
This article examines how journalists defend their boundaries and epistemic authority in the face of the challenges from user-generated content (UGC). It investigates the issue through exploring 51 Chinese journalists’ views of UGC producers and journalism. The interviews reveal that in this case study, Chinese journalists’ commitment to their social identity as ‘people of work units’ (danwei ren), i.e. their identity is defined by the employment relationship between journalists and news organisations, forms the ground of demarcating the boundaries between journalists and UGC producers. As a result, this group of Chinese journalists reinforces their conventional journalistic norms and identity as ‘organisational men/women’ and keeps old-fashioned journalism alive. In the meantime, however, they are aware of changes in the environment within which they practice, and therefore they reflect on their work and (re-)define what journalism is in order to adapt to the changes. This case study shows that the boundary work of Chinese journalists interviewed in the study and their understanding of boundaries are contextually bound. The boundary work of journalism is not only about defence but also about adaptation. It offers a perspective for understanding both continuity and change in the transformation of Chinese journalism as well as the boundaries of journalism in general. 相似文献
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[目的/意义]针对目前UGC质量不均衡的问题,提出一种基于情绪分析的UGC质量评判模型,对低质量UGC进行及时地识别,有助于舆情监控、规范网络秩序。[方法/过程]首先选取实时热搜话题,抓取与话题有关的转发、评论等用户数据,按照不同时间段内话题讨论的重点对数据进行内容聚类;其次,利用ROSTCM6工具对聚类内容进行情绪分析,捕获UGC的情绪特征和质量特征,挖掘情绪值与UGC质量之间的关系,建立两者间的回归模型;最后在此基础上实现UGC质量评判。[结果/结论]实验证明,该模型能够辅助评估某一主题的UGC在其生命周期内各阶段的平均质量,及时发现低质量UGC所处的阶段和位置。 相似文献
14.
Web2.0的发展问题及其解决思路 总被引：1，自引：0，他引：1
本文用微内容(microcontent)、用户贡献内容(UGC)、可擦写网页(Web-RW)诠释了Web2.0的概念,分析了目前Web2.0面临的主要问题,并提出了解决设想. 相似文献
15.
Recent years have been characterized by the ubiquitous use of social networks as a mean of self and social identity, which offers new opportunities for qualitative and quantitative research in social sciences. The dynamics of interactions on social platforms such as Twitter promote the development of social movements around hashtags, such as #MeToo. According to previous research, this movement has set the beginning of an era. The present study aims to determine the key indicators of social identity in the #MeToo movement in Twitter using textual analysis and sentiment analysis of user-generated content. To this end, we use a cognitive pragmatics point of view to study a corpus of 31.305 tweets. Using the methodological approaches of corpus linguistics (CL) and discourse analysis (DA), we identify keywords, topics, frequency, and n-grams or collocations to understand the social identity of the #MeToo movement. The key indicators of the social identity in the #MeToo Era are validated using association statistical measures of Log-Likelihood and Mutual Information (MI). Our results reveal the polarization of sentiments where UGC is associated with both negative and positive topics. The social identity is particularly strongly correlated with women and the workplace. Finally, regardless the industry or area, these results present a holistic approach to the social identity of #MeToo. 相似文献
16.
[目的/意义]构建与分析移动图书馆UGC用户画像模型,挖掘用户潜在信息需求,促进移动图书馆UGC实现精准化推荐服务。[方法/过程]通过Python爬取喜马拉雅APP《三体》的部分评论数据并进行聚类分析;利用RFM模型选取典型用户;采用TF-IDF算法生成标签,利用词云可视化工具生成典型用户的完整画像。[结果/结论]详细阐述移动图书馆UGC用户画像的构建流程,并通过实例分析构建喜马拉雅平台《三体》部分典型用户的完整画像,提出移动图书馆应结合数据驱动的用户画像提供精准化的推荐服务、个性化的知识搜索、智慧化的预测服务、智能化的隐私保护,以促进移动图书馆UGC精准服务的实现。 相似文献
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［目的/意义］提出一种基于用户行为情景的UGC质量实时预判的新思路,改进当前单一的基于文本的UGC质量预测方法。［方法/过程］在分析影响用户UGC行为的情景要素的基础上,确定UGC用户行为情景的构成,引入本体来描述和表示用户行为情景,构建用户行为情景本体框架,为UGC质量预判提供情景语义依据。［结果/结论］该方法能增强UGC质量预判的准确性和实时性。 相似文献