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基于微博内容对四川省政府政务微博进行分类,提取16个市及自治州的2233条政务微博进行分析,运用层次分析法建立微博关注度评价指标体系,确定指标权重,计算各内容类型政务微博关注度的得分并排名,分析排名原因。对发文量与微博关注度适应情况进行二维分析并提出改进意见,为日后政府政务微博的信息发布提供一种合理的导向。 相似文献
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《Information processing & management》2020,57(1):102106
Forwarding negative information on microblogs, termed reposting negative information (RNI) in this study, refers to reposting negative, non-original information publicly on microblogs, causes large-scale bad news dissemination on microblogs, which in turn has detrimental consequences for organizations and the society. However, previous research concentrated on sharing of original content (such as knowledge sharing and word-of-mouth) or focused on general information forwarding on social media without distinguishing between positive and negative information. To address this issue, this study develops a model to investigate the predictors of RNI on microblogs (negative emotions and issue involvement in this study) and explores the contingency role of personality. A scenario-based online survey was conducted to test the proposed model and hypotheses. The empirical results confirmed (1) the direct and positive effects of negative emotions and issue involvement, (2) the negative moderation effect of extraversion on the relationship between negative emotions and RNI, and (3) the positive moderation effects of conscientiousness and agreeableness on the relationship between issue involvement and RNI. The study contributes to the literature by revealing the predictors of RNI on microblogs and by investigating the contingency role of personality. 相似文献
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【目的/意义】研究新媒体环境下企业微博信息行为特征,通过对比分析五家同类型企业微博信息行为过程,提出建议,从而提高企业与用户信息交互的效果,提高企业核心竞争力。【方法/过程】本文通过网络爬虫采集五家汽车企业近三年来的全部微博数据及粉丝数据,采用知识图谱分析方法,将企业微博在线活动特征可视化,分析企业在线活动的时间特征,在线内容挖掘及热点分析,共同关注者的网络可视化及差异比较。【结果/结论】本文基于知识图谱构建的新媒体环境下企业微博信息行为模型可以作为企业在线信息活动分析的研究框架;数据分析结果表明企业可以利用新媒体平台进行在线活动,提升企业与用户的信息交互效果。 相似文献
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【目的/意义】基于客观行为数据构建微博发布-评论行为的定量模型,解释社交网络用户信息交互关系,为微博舆情的监控与引导提供理论依据。【方法/过程】以新浪微博为研究对象,对揭示微博群体层面多对多模式中的发布-评论行为特征的五个重要指标进行分析,构建描述微博多对多模式中的发布-评论行为的定量模型,并通过仿真验证模型的有效性。【结果/结论】微博评论数频数分布满足幂指数为1.6659的幂律分布;微博已获评论数、微博影响力、信息可见度是影响新增评论的连接机制。本文构建的定量模型可以较好模拟真实的微博发布-评论行为。【创新/局限】从人类动力学视角解释了微博多对多模式的微博发布-评论行为的过程,揭示了群体层面的发布-评论行为生成机制。本文没有对不同类型微博的评论行为进行区分,在未来的研究中,将针对不同类型微博的评论行为做进一步探索。 相似文献
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[目的/意义]旨在探索移动社交媒体中健康信息可信度的影响因素及其作用机制,以期为提升健康信息可信度提供理论借鉴。[方法/过程]借鉴精细加工可能性模型和Hilligoss提出的整合信息可信度评估框架,基于用户感知视角,结合社会诚信现状引入社会背景维度构建健康信息可信度的研究模型,以微信为例,采用问卷调查法和结构方程模型法进行实证研究。[结果/结论]健康信息媒介可信度和健康信息内容可信度越高,健康信息总体可信度越高;健康信息源可信度对健康信息总体可信度的影响不大;健康信息接收者的自身特征会影响健康信息源可信度、健康信息内容可信度和健康信息媒介可信度的感知,从而间接影响健康信息总体可信度,其中影响最大的是对健康信息内容可信度感知;社会背景对健康信息接收者自身特征有显著影响,其次是健康信息媒介的可信度和健康信息源的可信度,对健康信息内容的可信度无影响。 相似文献
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高校微博信息发布研究 总被引：1，自引：0，他引：1
微博已经成为高校信息发布的重要平台,本文以新浪微博平台上24所高校官方微博为样本对象,运用内容分析法、统计分析、聚类分析等方法,分析微博信息发布的现状,对高校微博信息发布的主要模式及其特征进行归纳,并根据发布效果探讨较为合理的高校微博信息发布方式。本文结论对于指导高校建设官方微博,充分利用微博特点进行信息发布,具有积极的意义。 相似文献
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[目的/意义]在以政务微博为代表的新媒体技术不断发展的背景下,政法事件微博舆情传播成为政法机关面临的新问题。对政法微博舆情传播进行研究,有助于剖析微博舆情传播的信息生态学规律。[方法/过程]基于信息生态理论构建政法微博舆情生态系统,以聊城于欢案政法事件为研究实例,将新浪微博舆情信息作为研究对象,对系统内的信息主体、信息环境、信息3个因子的传播和演化过程进行分析。[结果/结论]研究结果表明,主体因子中用户粉丝数和关注数均符合幂率分布且呈断尾分布特征;信息因子特征量符合指数分布;环境因子特征量具有长尾分布特征,政法微博舆情传播符合信息生态学的互生再生规律、动态平衡、协同进化规律。文章的研究对政法机关舆情监管部门把握微博舆情传播规律及舆情控制具有一定的参考性作用。 相似文献
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【目的/意义】通过对政务微博网络舆情信息传播效率进行评价,有利于政务微博的运营和管理。【方法/过程】应用道格拉斯生产函数对政务微博网络舆情信息传播效率评价指标体系的投入和产生指标进行分析,应用DEA模型对政务微博网络舆情信息传播效率进行测算和评价,并利用聚类分析方法对政务微博进行分类,从而对政务微博信息传递指标进行归纳。【结果/结论】政务微博规模效率表现较差的原因是政务微博信息传播效率表现不佳;政务微博信息传递规模效率较低的原因是粉丝数和关注数不足;最后基于投影分析,提出政务微博信息传递效率的改进方案。 相似文献
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《Information processing & management》2016,52(4):513-528
Information filtering has been a major task of study in the field of information retrieval (IR) for a long time, focusing on filtering well-formed documents such as news articles. Recently, more interest was directed towards applying filtering tasks to user-generated content such as microblogs. Several earlier studies investigated microblog filtering for focused topics. Another vital filtering scenario in microblogs targets the detection of posts that are relevant to long-standing broad and dynamic topics, i.e., topics spanning several subtopics that change over time. This type of filtering in microblogs is essential for many applications such as social studies on large events and news tracking of temporal topics. In this paper, we introduce an adaptive microblog filtering task that focuses on tracking topics of broad and dynamic nature. We propose an entirely-unsupervised approach that adapts to new aspects of the topic to retrieve relevant microblogs. We evaluated our filtering approach using 6 broad topics, each tested on 4 different time periods over 4 months. Experimental results showed that, on average, our approach achieved 84% increase in recall relative to the baseline approach, while maintaining an acceptable precision that showed a drop of about 8%. Our filtering method is currently implemented on TweetMogaz, a news portal generated from tweets. The website compiles the stream of Arabic tweets and detects the relevant tweets to different regions in the Middle East to be presented in the form of comprehensive reports that include top stories and news in each region. 相似文献
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微博这一媒体形式出现后深刻地影响了信息的传播方式,因此一直是国内外学术界各学科领域关注的重点。研究方法不断完善,研究角度也越来越多元化。本文针对微博信息传播效果这一问题,对近年来国内外研究的典型文献进行梳理和总结,首先概述了微博传播效果的概念和测评方法,接着分类梳理了微博传播效果影响因素的相关研究,并对该领域的未来发展方向进行了展望,以期为今后的研究提供参考和借鉴。 相似文献
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This study examines the effects of different product presentation strategies (i.e., alternative- vs. attribute-based) on consumer responses to diagnostic and serendipitous website experiences. Drawing on the accessibility-diagnosticity framework, we propose that different types of information presentation strategies lead consumers to differently evaluate a website as being diagnostic and serendipitous. The findings from three studies suggest that attribute-based presentations effectively increase consumer perceptions of website diagnosticity and serendipity compared with an alternative-based format. Both perceived diagnosticity and serendipity significantly contribute to consumers’ overall satisfaction with a website. Theoretical and practical implications are discussed. 相似文献
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Consumers increasingly rely on social media to obtain product information. The vlog, a new kind of social medium, has been adopted by sellers to connect with consumers. Through this platform, sellers can cooperate with vloggers to recommend products or services to consumers. Extending beyond the previous perspective that consumers’ perceptions and behaviors are influenced by vloggers’ attributes, we herein investigate the influence of recommendation content. Drawing on the means-end chain framework, this paper investigates how the attributes of recommendation content affect consumers’ intention to adopt (i.e., follow) the recommendation. Data collected from 513 respondents provides support for the proposed influences. The results indicate that source credibility, content diagnosticity, and content serendipity drive consumers’ recommendation adoption intention. This research contributes to the literature on rec-vlog marketing by clarifying the significant role of recommendation content. Implications are discussed regarding these findings. 相似文献
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[目的]本文通过研究微博用户信息行为，为相关部门在信息传播管控方面提供参考价值。[方法]本文从用户使用微博时产生的情绪刺激角度对用户微博信息分享意愿和动机进行调查研究和分析，并基于过程评估理论和情境评估模型构建微博用户信息分享情绪模型。[结果]研究表明，用户的情绪刺激显著正向影响用户对新颖性、规范、目标、内在舒适性和应对潜力的评估；用户对新颖性、目标和内在舒适性的评估显著正向影响用户的分享意愿；用户的分享意愿对情绪刺激有显著复发效应。[局限]本文构建的研究模型主要验证刺激、评估、结果3个组件的相互影响，未具体研究评估组件内部5个组件间的相互作用；且本研究的样本主要源自于高学历青年群体。[结论]本研究证明了情绪刺激对微博用户信息分享意愿所产生的影响。情绪既是微博用户在信息分享过程中所产生的心理及情绪波动，又是促使用户产生信息分享行为的因素。 相似文献
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[目的/意义] 借助知识图谱对区域政务微博内容进行知识组织与可视化展示,能够提升用户的知识阅读及获取效率。[方法/过程] 首先,基于LDA模型对区域政务微博进行主题建模,通过依存句法分析对微博内容进行语义三元组抽取。其次,构建了区域政务微博知识模型,形成了知识图谱的语义架构。最后,借助图数据库Neo4j及D3.js插件实现了区域政务微博的知识图谱可视化及关联化保存。[结果/结论] 经理论构型与实际验证,本研究构建了基于主题划分的区域政务微博知识图谱,为社交媒体内容的知识图谱构建提供了一定的思路及方法。 相似文献
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Petros Kostagiolas Nikolaos Korfiatis Panos Kourouthanasis Georgios Alexias 《International Journal of Information Management》2014
Regulation of clinical practice is a characteristic aspect of the medical profession. Regardless of whether this regulation derives from government-sourced guidelines or materials from government-sponsored institutions, it results in a high production of information resources (institutional information resources), which are disseminated to the clinical stuff in order to ensure compliance. In that case, the issue of credibility of these information resources might arise, since medical practice is characterized by a high frequency of change. The latter involves a continuous effort on the part of the clinical staff, which is motivated by work-related factors (e.g., need for compliance) or personal motivation (e.g., need for self-improvement). In this study we consider a simple trust model, according to which we assume that perceived trust is a direct antecedent of perceived credibility. We evaluate whether work-related or personal motivating factors influence the relation between perceived credibility and trust toward institutional information sources and how the effect of each factor affects this relation. Findings suggest that work-related factors have a higher impact on the relation between credibility and trust than personal motivation factors, while they are stressing the important role of hospital libraries as a dissemination point for government-sponsored information resources. 相似文献
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【目的/意义】从知识共创理论和信息采纳模型出发探究在线健康信息用户依从意愿的影响机制,为改善在
线健康信息服务、提高在线健康信息用户依从有效性提供参考和建议。【方法/过程】首先,基于信息采纳模型,构建
知识共创视域下的在线健康信息用户依从意愿模型。其次,选取知乎问答社区中的牙齿美白话题为背景材料,设
计 2（治疗方案信息类型：保守与新兴）* 2（信息质量：高与低）* 2（来源可信度：高与低）的析因实验。最后,利用
SmartPLS 3.0软件对收集到的408份有效问卷数据进行分析,以检验模型有效性。【结果/结论】健康信息质量和信息
来源可信度正向影响信息有用性和信息不对称,信息有用性和信息不对称显著影响用户依从意愿,健康治疗方案
类型在信息不对称与用户依从意愿、信息有用性与用户依从意愿,以及用户卷入度的调节作用等路径中发挥权变
效应。【创新/局限】引入信息不对称和用户卷入度两个因素探讨了在线健康信息用户依从意愿的影响机制及其管
理启示,但研究对象局限于在校大学生,后续研究还应关注用户依从在在线健康社区知识共创中的作用机制。 相似文献
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网络零售环境中,在线评论对产品销量和消费者购买决策都产生了非常重要的影响.本文在对在线评论的内容和范围做出明确界定的基础上,分析影响消费者采纳在线评论意见的3个方面:有用性、可信度和其他调节因素,得出评论有用性的主要影响因素为:量、长度、星级、语言风格和内容离散度、内容一致性等,评论可信度的主要影响因素为价、论证质量、评论人可信度和评论人的专业度等,调节因素则主要为消费者已有信念、介入度和文化因素.最后,提出值得未来研究深入探讨的在线评论研究主题. 相似文献