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1.
Research typically focuses on one medium. But in today's digital media environment, people use and are influenced by their experience with multiple systems. Building on media ecology research, we introduce the notion of integrated media effects. We draw on resource dependence and homophily theories to analyze the mechanisms that connect media systems. To test the integrated media effects, we examine the relationships between news media visibility and social media visibility and hyperlinking patterns among 410 nongovernmental organization (NGO) websites in China. NGOs with greater news media visibility and more social media followers receive significantly more hyperlinks. Further, NGOs with a similar number of social media followers prefer to hyperlink to each other. The results suggest that both news media and social media systems are related to the configuration of hyperlink networks, providing support for the integrated media effects described. Implications for the study of hyperlink networks, online behaviors of organizations, and public relations are drawn from the results. 相似文献
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[目的/意义]对社交媒体中热门新闻的及时识别,有助于加速正面资讯的投送或抑制负面资讯的扩散。当前,基于自然语言处理的传统识别方法正面临社交媒体新生态的挑战：大量新闻内容以图片、音视频形式存在,缺乏用于语义及情感分析的文本。[方法/过程]对此,本文首先将社交网络划分为众多社群,并按其层次结构组织为贝叶斯网络。接着,面向社群构建基于卷积神经网络的热门新闻识别模型,模型综合考虑新闻传播的宏观统计规律及微观传播过程,以提取社群内热门新闻传播的特征。最后,利用贝叶斯推理并结合局部性的模型识别结果进行全局性热度预测。[结果/结论]实验表明,本方法在语义缺失场景下可有效识别热门新闻,其准确度强于基于语义信息的机器学习方法,模型具有良好的时效性、可扩展性和适用性。该研究有助于社交媒体的监管机构及时识别出各类不含语义信息且迅速扩散的热点内容。 相似文献
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《Information processing & management》2022,59(1):102739
Digital information exchange enables quick creation and sharing of information and thus changes existing habits. Social media is becoming the main source of news for end-users replacing traditional media. This also enables the proliferation of fake news, which misinforms readers and is used to serve the interests of the creators. As a result, automated fake news detection systems are attracting attention. However, automatic fake news detection presents a major challenge; content evaluation is increasingly becoming the responsibility of the end-user. Thus, in the present study we used information quality (IQ) as an instrument to investigate how users can detect fake news. Specifically, we examined how users perceive fake news in the form of shorter paragraphs on individual IQ dimensions. We also investigated which user characteristics might affect fake news detection. We performed an empirical study with 1123 users, who evaluated randomly generated stories with statements of various level of correctness by individual IQ dimensions. The results reveal that IQ can be used as a tool for fake news detection. Our findings show that (1) domain knowledge has a positive impact on fake news detection; (2) education in combination with domain knowledge improves fake news detection; and (3) personality trait conscientiousness contributes significantly to fake news detection in all dimensions. 相似文献
4.
《Information processing & management》2023,60(2):103228
The phenomenal spread of fake news online necessitates further research into fake news perception. We stress human factors in misinformation management. This study extends prior research on fake news and media consumption to examine how people perceive fake news. The objective is to understand how news categories and sources influence individuals' perceptions of fake news. Participants (N = 1008) were randomly allocated to six groups in which they evaluated the believability of news from three categories (misinformation, conspiracy, and correction news) coupled with six online news sources whose background (official media, commercial media, and social media) and expertise level varied (the presence or absence of a professional editorial team). Our findings indicated people could distinguish media sources, which have a significant effect on fake news perception. People believed most in conspiracy news and then misinformation included in correction news, demonstrating the backfire of correction news. The significant interaction effects indicate people are more sensitive to misinformation news and show more skepticism toward misinformation on social media. The findings support news literacy that users are capable to leverage credible sources in navigating online news. Meanwhile, challenges of processing correction news require design measures to promote truth-telling news. 相似文献
5.
Jun Wang Maarten Clements Jie Yang Arjen P. de Vries Marcel J.T. Reinders 《Information processing & management》2010,46(1):58-70
Social media systems have encouraged end user participation in the Internet, for the purpose of storing and distributing Internet content, sharing opinions and maintaining relationships. Collaborative tagging allows users to annotate the resulting user-generated content, and enables effective retrieval of otherwise uncategorised data. However, compared to professional web content production, collaborative tagging systems face the challenge that end-users assign tags in an uncontrolled manner, resulting in unsystematic and inconsistent metadata.This paper introduces a framework for the personalization of social media systems. We pinpoint three tasks that would benefit from personalization: collaborative tagging, collaborative browsing and collaborative search. We propose a ranking model for each task that integrates the individual user’s tagging history in the recommendation of tags and content, to align its suggestions to the individual user preferences. We demonstrate on two real data sets that for all three tasks, the personalized ranking should take into account both the user’s own preference and the opinion of others. 相似文献
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在国际科技竞争日益激化、我国科技实力迅速腾飞的当下,国家科学形象日益成为国家形象立体化过程中不可忽视的重要组成部分。通过对国际社交媒体推特平台上有关中国科学相关议题讨论的分析发现,西方公众目前对于中国科学类相关议题的关注度并不高,讨论由少量的主要科学事件主导,明显受到了西方主流新闻媒体与政治话语力量的引导与掌控,且认知偏向于负面。这种负面形象的“他塑”建构在一定程度上被卷入政治话语与国际关系话语体系中,表征为对中国负面科技新闻的报道及阴谋论的关注。而正面积极的科学形象则更多表征为“去政治化”语境下,对中国突破性科学成果与获得国际科学奖项科学家的赞赏,以及对于中国科幻的格外关注。对此,提升中国国际科学形象需要在重视社交媒体平台这一舆论场域的基础上,结合研究结果,制定具有针对性的对外科技传播策略。 相似文献
7.
本文针对媒介融合背景下体育新闻传播的传播特点进行分析论述,总结出在媒介整合背景下,体育新闻传播呈现出传播内容以竞技体育为主、传播方式多样化、传者与受者的良好互动、娱乐化的报道视角、跨媒体合作的传播形式等特点,以期能为体育新闻传播的良性发展提供一些借鉴。 相似文献
8.
Perceived critical mass and collective intention in social media-supported small group communication
Xiao-Liang Shen Christy M.K. Cheung Matthew K.O. Lee 《International Journal of Information Management》2013
The increasing popularity of Web 2.0 has dramatically changed the way in which people communicate with others in their daily life or work. However, the use of social media is fundamentally different from that of traditional information technologies. Specifically, it requires collective efforts and interdependence between two or more people, and thus the usage behavior is no longer an individual's own decision or plan. Built on critical mass theory and social influence processes, this study tries to make an attempt to understand the determinants of collective intention (we-intention), which represents one's perception of a group of people acting as a unit. Instant messaging, one of the most popular social media platforms, has been chosen for investigation, and findings from a survey showed that perceived critical mass influenced we-intention both directly and indirectly through group norm and social identity. Recognizing the importance and relevance of collective intention will advance current understanding beyond individual intention-based models which are widely adopted in prior IS research. This study may be limited by having not included other alternative social technologies, but we leave this work for future research. 相似文献
9.
The intensification of online disclosure of personal information, coupled with the ability to link personal information to those who disclose it, poses important questions regarding the benefits and risks associated with sharing of personal data. This article examines the manifestation of these concerns in news media. Guided by framing theory, it seeks to ascertain the prevailing frames for personal information sharing and to determine whether such framing facilitates debate on issues related to self-disclosure. Articles published in top Israeli online newspapers were analyzed (n = 609). Findings show that the individual user, the state, and corporations are framed as key actors that shape online self-disclosure practices and their outcomes. Furthermore, the individual user, while portrayed as chief actor, is seen as the weakest player. 相似文献
10.
Arkaitz Zubiaga Elena Kochkina Maria Liakata Rob Procter Michal Lukasik Kalina Bontcheva Trevor Cohn Isabelle Augenstein 《Information processing & management》2018,54(2):273-290
Rumour stance classification, defined as classifying the stance of specific social media posts into one of supporting, denying, querying or commenting on an earlier post, is becoming of increasing interest to researchers. While most previous work has focused on using individual tweets as classifier inputs, here we report on the performance of sequential classifiers that exploit the discourse features inherent in social media interactions or ‘conversational threads’. Testing the effectiveness of four sequential classifiers – Hawkes Processes, Linear-Chain Conditional Random Fields (Linear CRF), Tree-Structured Conditional Random Fields (Tree CRF) and Long Short Term Memory networks (LSTM) – on eight datasets associated with breaking news stories, and looking at different types of local and contextual features, our work sheds new light on the development of accurate stance classifiers. We show that sequential classifiers that exploit the use of discourse properties in social media conversations while using only local features, outperform non-sequential classifiers. Furthermore, we show that LSTM using a reduced set of features can outperform the other sequential classifiers; this performance is consistent across datasets and across types of stances. To conclude, our work also analyses the different features under study, identifying those that best help characterise and distinguish between stances, such as supporting tweets being more likely to be accompanied by evidence than denying tweets. We also set forth a number of directions for future research. 相似文献
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12.
网络新闻：大众传媒新的增长点 总被引：2，自引：0，他引：2
网络时代的到来传统的大众传媒介形成了巨大的冲击，但互联网又对大众传媒的发展提供了新的，网络新闻做为网络时代的产物已受到赵来越多的传统媒介的关注，如何在新一轮激烈的网络信息服务竞争中确立自身信息权威地位，是传统的大众传播媒介发展的新课题。 相似文献
13.
【目的/意义】随着互联网的迅速发展,网络媒体成为反映社会舆论的主要载体。如何有效地从网络媒体获取公共政策相关的社情民意以引导公共政策的传播议程设置是政府职能部门所关注的重要问题之一。【方法/过程】本文基于网络媒体数据,应用数据挖掘、机器学习等数据分析技术,提出了一个面向公共政策的网络媒体内容文本分析框架。利用文本语义分析方法,从主题识别、情感分析等角度对网络主流媒体的公共政策传播议程设置与社交媒体网民舆论进行挖掘和对比,并以新能源汽车政策为例对该分析框架的有效性进行了验证。【结果/结论】通过实证发现当下网络媒体报道的议题与社交媒体上公众对有关公共政策的关注焦点之间存在较大偏差,就新能源汽车政策为例,公众对于其政策的关注偏向于衡量自身获利的多少,而网络媒体报道更多以描述政策传递信息为主。建议政府职能机构针对公共政策使用网络媒体进行传播时,可根据公众关注焦点话题进行议程的设置和调整,以增强公众对此政策的认可度。 相似文献
14.
本文从流媒体的特点及相关技术入手，对流媒体技术在网络视频新闻传播中的应用现状进行了研究；并通过分析其网络传播中存在的难点及对策，初步探讨了流媒体新闻的发展前景。 相似文献
15.
Political polarization remains perhaps the “greatest barrier” to effective COVID-19 pandemic mitigation measures in the United States. Social media has been implicated in fueling this polarization. In this paper, we uncover the network of COVID-19 related news sources shared to 30 politically biased and 2 neutral subcommunities on Reddit. We find, using exponential random graph modeling, that news sources associated with highly toxic – “rude, disrespectful” – content are more likely to be shared across political subreddits. We also find homophily according to toxicity levels in the network of online news sources. Our findings suggest that news sources associated with high toxicity are rewarded with prominent positions in the resultant network. The toxicity in COVID-19 discussions may fuel political polarization by denigrating ideological opponents and politicizing responses to the COVID-19 pandemic, all to the detriment of mitigation measures. Public health practitioners should monitor toxicity in public online discussions to familiarize themselves with emerging political arguments that threaten adherence to public health crises management. We also recommend, based on our findings, that social media platforms algorithmically promote neutral and scientific news sources to reduce toxic discussion in subcommunities and encourage compliance with public health recommendations in the fight against COVID-19. 相似文献
16.
[目的/意义]针对同一事件新闻报道与舆情评论既相互依存又偏离的现象,通过话题识别与主题关联分析,探索新闻报道引发的舆情评论在主题内容与时间阶段上的异同,拟为研究以舆情评论表达的舆情事件和以新闻报道表达的社会现实之间的共振与偏离,进而为探究社会舆情传播规律提供参考,为服务政府科学决策提供依据。[方法/过程]以拉斯韦尔（5W）模型、LDA主题模型和Python工具为基础,设计研究思路和流程,从腾讯新闻和知乎平台上抓取新闻报道和评论的数据,经过处理加工过后加以分析挖掘。[结果/结论]研究发现：舆情事件主题会一定程度偏离社会现实主题,衍生出更多隐性主题;舆情事件与社会现实的发展走向较一致;此外,社交媒体相较于新闻媒体所衍生的舆情事件主题更多,而两者反映的社会现实主题类似。 相似文献
17.
对《广州日报》近三年来的农民工报道分析显示,城市主流媒体关于农民工的报道在报道数量、议题内容、报道类型、叙述主体、新闻来源等方面尚有改进的空间。作为农民工市民化信息保障体系的重要组成部分,城市主流媒体应充分认识到自身的社会责任,构建媒体信息服务平台,树立平等的受众观念,拓宽议题内容,增强传播效果,准确反映农民工群体的真实面貌,为农民工市民化营造良好的信息环境。 相似文献
18.
新闻舆论监督在马克思主义新闻学和我们党及国家工作中有着重要地位和作用,是媒体的重要功能,随着政治文明的推进和人民群众法制、民主意识的提高,新闻舆论监督越来越受到重视,新闻舆论监督是社会发展的要求,新闻工作的职责,人民群众的愿望,党和政府改进工作的手段。因此加强我国新闻舆论监督是势在必行的。本文就从我国新闻舆论监督的特点,新闻舆论监督的重要性并以事例进行了论述。 相似文献
19.
《International Journal of Information Management》2014,34(2):311-314
Twenty-first century's advancement in information technologies and the emergence of online communities have considerably influenced the online communication channels between patients and health service providers. Online health communities are now popular venues for health information sharing, yet little is known about the benefits in developing countries such as Iran. The aim of this case is to investigate on online health communities in Iran and to have a better understanding of consumer's behaviour using health services. The case integrates social support theory and social media concepts with traditional consumer behaviour theory, notably satisfaction. Using a content analysis of three online health communities indicates the value of social media in developing service quality in health industry. 相似文献
20.
英文媒体的议程设置及对国家形象管理的启示:对五个奥运举办城市报道主题的跟踪研究 总被引：2，自引：0，他引：2
大众传媒在国家形象的外显和传播过程中,是影响受众最有效的途径。全球媒体事件(如奥运会)通过媒体聚焦,在短时间内对国家形象的改变产生影响。作者以11,636篇国内外英文媒体对五个奥运举办城市的报道全文为分析对象,通过社会网络分析方法,借助数据挖掘软件,对文献的主题词进行统计分析。数据显示,有关北京奥运会的报道共涉及592个议题,核心议题主要集中在政治、经济发展和环境保护等领域,且议题呈逐年增加趋势。 相似文献