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1.
The spiral of silence (SoS) framework elaborates the factors that determine whether individuals are willing to express their opinions in public. Although previous scholarship has examined differences in between face-to-face and computer-mediated communication, research studies have rarely tested how perceived affordances of the channel influence whether individuals express opinions or self-censor. In this study (N = 399), we examine several propositions of SoS within the context of discussing police discrimination on Facebook. To extend the theory’s relevance to social networking sites, we examined how users’ perceptions of network association, social presence, anonymity, and persistence related to opinion expression. Findings indicate support for some of the theory’s original tenets, as well as the role of multiple perceived affordances in determining whether people will express an opinion to their online social network. We discuss the implications for measuring and understanding political expression and silencing on social media as well as offline.  相似文献   

2.
The use of second screens to dual-view television and social media is exponentially increasing. As a result, television producers are increasingly augmenting television content with social media comments from viewers, which may serve as a type of real-time public opinion indicator. The current research effort utilizes two experimental studies to explore the effects of this new media production practice on viewer's attitudes and opinions. In these studies, a Twitter feed was integrated in to entertainment (Study 1) and political (Study 2) television broadcasts and manipulated to convey either positive or negative opinions of the content. Participants' opinions were found to conform to the majority opinion presented in the manipulated Twitter feed in nearly all of the analyses. Implications for dual viewing and second screen use are discussed in light of findings.  相似文献   

3.
李静  谢耘耕 《新闻界》2020,(2):37-45
本文基于2010-2018年10600起舆情事件,考察了事件本身属性、媒介传播、网民参与及政府干预对网络舆情热度的影响。多元分层回归模型的结果表明:1.环境和文化体育类事件网络舆情热度较高,反腐倡廉类事件网络舆情热度较低;因为大型活动和科技发现引发的舆情事件传播热度较高。2.由传统媒体、网络新闻首次曝光的舆情事件热度较低。3.出现第三方、网络谣言、网络动员的舆情事件热度较高,意见领袖的出现对网络舆情热度没有显著影响;网民舆论倾向性非常正面的舆情事件传播热度较高。4.网络舆情事件中如果国家部委进行了干预,则舆情热度较高;政府干预的时效性越差,网络舆情热度越高;政府采用新闻发布会、社交媒体回应的舆情事件热度较高,利用对外公告或文件回应的舆情事件热度较低;政府干预级数与网络舆情热度正相关。  相似文献   

4.
Noelle-Neumann's work on the spiral of silence (1974, 1977,1984) has been one of the most significant theoretical developmentsin public opinion research of the past quarter-century. Thetheory is well known among public opinion researchers, and anumber of research efforts have been directed toward examiningspecific parts of the theory. However, the theory is difficultto test, incorporating psychological, social-psychological andsociological variables, including psychological variables andsweeping changes in the social climate of opinion (cf. Noelle-Neumann1984). This study investigated the role of opinion thresholds, socialgroups and weighing of others' opinions in opinion expression.Using Krassa's (1988) computer simulation and modificationsof Noelle-Neumann's (1974) spiral of silence as a base, we testseveral theoretical modifications to the spiral of silence modelusing data gathered from people living in or near six nationalparks in Canada. Primary interest is on the ability of opinionthresholds, social group and weighing of others' opinions topredict the expression of opinion for particular issues.  相似文献   

5.
This study explored the potential of using sentiment analysis of tweets to predict referendum choices (Brexit). The feasibility of using StreamKM++ in the massive online analysis framework was examined over five categories, ranging from strongly agree to strongly disagree (to exit). A Naïve Bayes classifier was used to classify people’s opinions according to these categories. The prediction model resulted in high accuracy (97.98%), making it possible to use it in predicting opinions about public events and issues. The findings from this study may help practitioners, and policymakers understand the importance of sentiment analysis of social media in assessing public opinion and, accordingly, making certain voting predictions.  相似文献   

6.
This online survey conducted at a public university in the Northwest (N = 434) examines the influence of political involvement, information source attention, and online political discussion on young adults’ political efficacy. A factor analysis indicated that political information sources loaded into three factors including conventional and online hard news media such as newspapers, opinion and social media such as blogs or social networking websites, and public affairs websites including government and candidate websites. A path analysis revealed significant differences in their association with online political expression and external efficacy. As an entry point in the theoretical model, involvement in public affairs positively associated with attention to political information sources, online political expression, and external political efficacy. Attention to hard news and to public affairs websites positively predicted political efficacy. Attention to online opinion and social media and to public affairs websites positively predicted online political expression.  相似文献   

7.
许多研究者担忧,以派别化信息接触为特征,社交媒体难免会带来舆论极化,派别对立,乃至社会分裂。使用行动者模型模拟人工社会莫尔国,本研究观察了社交媒体与政治舆论演化的关系。结果显示:(1)社交媒体与舆论极化没有必然联系;(2)社会稳定程度、对主流媒体的干预策略,主流媒体派别观点的极端程度以及信誉,都可能影响舆论演化的结果;(3)只有在社会失稳和主流媒体信誉流失条件下,社交媒体对极化有明显推助作用。本文还讨论了莫尔社会舆论分布模式的涌现机制,模拟研究的启示与局限。  相似文献   

8.
Using the issue of genetically modified foods, this study examines how the Internet may affect the spiral of silence phenomenon in South Korea. More specifically, we explore whether the Internet has created a social environment, where people can exchange opinions more freely without being fearful of social isolation. Analyzing data from an online survey, we first examine whether the Internet can play a role as a source of information, from which people assess the climates of public opinion. Also examined is whether the opinions of netizens can comprise another form of opinion climate, exerting pressure on one's willingness to speak out. Finally, we explore whether expressing an opinion on the Internet is subject to the pressure of opinion climates. Findings suggest that the Internet may play an important role in shaping people's perceptions of opinion climates. Perceived opinion congruence with other people were significantly associated with one's willingness to participate in an online forum, indicating that expressing an opinion on the Internet may be subject to the spiral of silence effect. We conclude that the Internet in South Korea may not have helped to diminish the social pressure that keeps citizens from expressing a minority view.  相似文献   

9.
This study examines the issue of who tends to speak out against the tide of opinions on an online discussion forum and which forum conditions facilitate an individual’s public expression of honest opinions. In response to the call for experimental research, this study employed simulated online forums to place participants in multifaceted hostile online discussion situations. The findings indicate that an individual’s race, issue involvement, issue knowledge, fear of isolation, and the revelation of identity influenced opinion expression online. In particular, fear of isolation, which has been pointed out as the main reason for silencing minority opinion holders, played an unexpected role as a motivator for frank expression of opinions online.  相似文献   

10.
《Communication monographs》2012,79(4):457-478
ABSTRACT

High-choice media environments allow people to cocoon themselves with like-minded messages (confirmation bias), which could shape both individual attitudes and perceived prevalence of opinions. This study builds on motivated cognition and spiral of silence theory to disentangle how browsing political messages (both selective exposure as viewing full articles and incidental exposure as encountering leads only) shapes perceived public opinion and subsequently attitudes. Participants (N?=?115) browsed online articles on controversial topics; related attitudes and public opinion perceptions were captured before and after. Multi-level modeling demonstrated a confirmation bias. Both selective and incidental exposure affected attitudes per message stance, with stronger impacts for selective exposure. Opinion climate perceptions mediated selective exposure impacts on attitudes.  相似文献   

11.
The success of government social media relies on citizens' continual usage. Through the theoretical lens of the Uses & Gratifications theory, we develop a research model for mobile government microblogging services (GMS) continuance intention, in which citizens' perceived integration of online and offline social lives and internet censorship are incorporated. Based on data from 629 mobile GMS users in China, the results of the structural equation modeling analysis show that perceived online–offline integration has a significant and positive effect on the three dimensions of gratification: content gratification, social gratification, and process gratification, which jointly influence mobile GMS continuance. Citizens' perceived internet censorship negatively affects their mobile GMS continuance. These results might provide understanding about the unique aspects of government social media, especially in the context of internet censorship.  相似文献   

12.
Research articles are being shared in increasing numbers on multiple online platforms. Although the scholarly impact of these articles has been widely studied, the online interest determined by how long the research articles are shared online remains unclear. Being cognizant of how long a research article is mentioned online could be valuable information to the researchers. In this paper, we analyzed multiple social media platforms on which users share and/or discuss scholarly articles. We built three clusters for papers, based on the number of yearly online mentions having publication dates ranging from the year 1920 to 2016. Using the online social media metrics for each of these three clusters, we built machine learning models to predict the long-term online interest in research articles. We addressed the prediction task with two different approaches: regression and classification. For the regression approach, the Multi-Layer Perceptron model performed best, and for the classification approach, the tree-based models performed better than other models. We found that old articles are most evident in the contexts of economics and industry (i.e., patents). In contrast, recently published articles are most evident in research platforms (i.e., Mendeley) followed by social media platforms (i.e., Twitter).  相似文献   

13.
基于贝叶斯网络建模的非常规危机事件网络舆情预警研究   总被引:1,自引:0,他引:1  
网络舆情态势作为衡量社情民意的主要指标,在管理实践和学术研究中显得尤为重要。针对网络舆情作用主体复杂多样、作用关系难以预知、作用程度难以计量等特点,将贝叶斯网络建模方法和网络舆情态势评估相结合,同时基于贝叶斯网络三个重要特点--复杂关联关系表示能力、概率不确定表示能力以及因果推理能力,提出基于贝叶斯网络建模的网络舆情态势评估方法。通过对关键指标数据进行仿真和学习,建立网络舆情态势评估模型,从而对网络舆情态势进行有效评估和预测。  相似文献   

14.
[目的/意义]突发事件情境下,及时有效地回应舆论关切成为舆情管理中的重要议题,梳理总结突发事件舆情观点研究现状与发展趋势有助于该领域研究开展与实践指导。[研究设计/方法]采集国内外有关突发事件舆情观点的科学文献,从信息分析过程角度出发,分为舆情观点识别、舆情观点组织和舆情观点分析三个方面进行综述。[结论/发现]随着知识图谱等技术优化与应用的不断推进,舆情观点研究可从识别细粒化、组织结构化、分析系统化等方面加以深化,在构建层次化舆情观点信息组织架构及图谱原型的基础上,建立系统化舆情观点多维演化分析框架与应用范式。[创新/价值]从信息分析过程的角度对突发事件舆情观点研究进行总结评述,为突发事件情境下舆情观点与知识图谱的深入融合应用提供参考。  相似文献   

15.
[目的/意义]通过搜集和分析国内外社交媒体网络谣言的相关文献,以期了解社交媒体环境下网络谣言国内外的研究进展及未来的研究趋势,为网络谣言治理和学术研究提供一定的指导。[方法/过程]本文运用文献分析和知识图谱可视化分析方法,对国内外网络谣言研究的起源和发展、国内外研究热点及未来研究趋势进行对比和可视化分析。[结果/结论]从研究发展趋势看,国内外相关研究成果的数量呈递增态势,国外研究主要围绕网络谣言的传播、社交媒体网络谣言的监测、社交媒体网络谣言的传播原因进行研究;国内研究主要围绕社交媒体网络谣言的传播模型、社交媒体突发事件网络谣言、不同类型社交媒体平台的网络谣言三个方面;从研究趋势看,未来研究会主要围绕区块链技术在社交媒体网络谣言中的治理、机器学习技术在社交媒体网络谣言中应用、老年群体社交媒体网络谣言治理等。  相似文献   

16.
在互联网飞速发展的背景下,突发公共安全事件网络舆情的传播范围、影响力、破坏力、渗透力等得到空前强化.新时代有关突发公共安全事件网络舆情的治理对策研究愈发重要.本文从传播脉络、主题、用户属性三个层次、九个方面,提出了相应的舆情干预、引导与治理对策.研究发现,厘清传播脉络、表明自身态度、重视意见领袖、提升网民素质、增强资源...  相似文献   

17.
[目的/意义] 细化社交机器人对网民情感的干预机制,同时从实践上为网络突发事件舆情治理提供建议参考。[方法/过程] 以仁济医院赵晓菁事件为例,利用朴素贝叶斯方法计算微博情感倾向,通过构建向量自回归模型(VAR)并进行格兰杰因果检验、脉冲响应分析以及方差分解分析,确定社交机器人、意见领袖与普通用户在事件生命周期各阶段的情感关系。[结果/结论] 社交机器人、意见领袖与普通用户的情感关系随舆情阶段演进发生变化,在爆发期,社交机器人放大了意见领袖对普通用户的情感影响;在成熟期,社交机器人影响式微,普通用户的情感反作用于社交机器人与意见领袖;在衰退期,三者保持较为独立的情感关系。此外,社交机器人的影响策略具有隐匿性和间接性特征。  相似文献   

18.
Group affiliation plays a key role in shaping individual opinions on public policy issues. Understanding group-related differences may be important for global organizations that depend on broad public acceptance of their policies. Research indicates that people's opinions become polarized to match perceived opinions of their group and that media reports may signal normative opinions group members should adopt. Surveys administered before and after the World Trade Organization's (WTO) 1999 meeting in Seattle indicated significant differences in opinion by group affiliation. Respondents overall held negative views of the WTO before the meeting, and more negative views after the meeting. Business and civic group members were more positive toward the WTO than were human rights and environmental and union group members, reflecting their self-interests. However, contrary to public opinion theory between-group differences in opinion in many cases became less polarized, whereas attention to media coverage served to further polarize only the opinions of union group members.  相似文献   

19.
A content analysis was conducted of the posts generated by mass media organizations and public opinion leaders on the Chinese social media platform Sina Weibo to investigate the associations between several communication message cues and opinions about people with depression (N = 102). The study revealed that the posts of the influential users were more likely to be stigmatizing when they communicated stereotypes, but less likely to be stigmatizing or more likely to be supportive when they made personal, genetic and medical, and social and environmental cause and responsibility claims. The posts were also more likely to be supportive if the influential users presented treatment and recovery information. In addition to finding out what communication cues activate the influential users' stigmatizing or supportive opinions, the study also examined and found the impact of the influential users' opinions on their followers' opinions on this issue (N = 8261). The findings showed that the public opinion leaders were more likely than the mass media to express support for people with depression. This support then translated into supportive responses among their followers toward those living with the disease.  相似文献   

20.
[目的/意义] 梳理网络舆情的研究进展,有助于厘清网络舆情研究的知识基础、传导规律、预警机制和治理策略等之间的内在联系和主题演化路径。[方法/过程] 首先分析网络舆情的理论知识基础,然后结合现有研究,按照内容递进的规律将网络舆情研究分为影响因素、传导路径、预警机制以及引导治理策略四个主题,采用内容分析法和社会网络分析法对网络舆情进行主题关联关系分析和演化路径探索。[结果/结论] 结果表明,生命周期理论、认知定势理论、沉默的螺旋、群体极化理论、蝴蝶效应理论和治理理论常作为网络舆情研究的理论知识基础,网络媒介环境、社会结构压力、网民心理、触发性事件、有效动员和社会控制力量六个因素被视为网络舆情演化的重要影响要素,且网络舆情、舆情事件、社交媒体、利益相关者、大数据和信息传播等六个主题与其他研究内容关系较为密切,在主题演化路径中发挥着重要桥接作用。  相似文献   

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