Some like it lots: The influence of interactivity and reliance on credibility

This study has four primary purposes: to investigate the level of interactivity with 15 sources of political information, determine the degree of reliance on each of the sources, assess perceptions of credibility, and compare the strength of interactivity to the strength of reliance on judgments of credibility. This study includes sources that have received little attention in the credibility literature such as social network sites, Twitter, and mobile device applications. Respondents interact with and rely on the sources moderately. Credibility ratings range from moderate to highly credible. Reliance predicts credibility of 14 of 15 sources as compared to interactivity that predicts credibility of just 9 of 15 sources. Interactivity with sources that are inherently collaborative (e.g. Twitter, social media, talk radio) more strongly predicts credibility than interactivity with sources that are more source-to-user based (e.g. CNN, political websites).     

Information sharing on social media sites

This study reports on an exploratory survey conducted to investigate the use of social media technologies for sharing information. This paper explores the issue of credibility of the information shared in the context of computer-mediated communication. Four categories of information were explored: sensitive, sensational, political and casual information, across five popular social media technologies: social networking sites, micro-blogging sites, wikis, online forums, and online blogs. One hundred and fourteen active users of social media technologies participated in the study. The exploratory analysis conducted in this study revealed that information producers use different cues to indicate credibility of the information they share on different social media sites. Organizations can leverage findings from this study to improve targeted engagement with their customers. The operationalization of how information credibility is codified by information producers contributes to knowledge in social media research.     

Persuasion in 140 characters: Testing issue framing,persuasion and credibility via Twitter and online news articles in the gun control debate

Using a 2 × 2 × 4 experimental design, this study examined the framing of the pro and anti-gun control arguments posited after the Sandy Hook shooting and the resultant effect on persuasion and credibility. Overall, pro-gun control frames were more persuasive and more credible than anti-gun control frames. Arguments transmitted via online news articles elicited more persuasion than those transmitted via Twitter. News article sources were deemed more credible too. I discuss the ramifications within.     

A social network as information: The effect of system generated reports of connectedness on credibility on Twitter

Social media have gained increased usage rapidly for a variety of reasons. News and information is one such reason. The current study examines how system-generated cues available in social media impact perceptions of a source’s credibility. Participants were asked to view one of six mock Twitter.com pages that varied both the number of followers and the ratio between followers and follows on the page and report their perceived source credibility. Data indicate that curvilinear effects for number of followers exist, such that having too many or too few connections results in lower judgments of expertise and trustworthiness. Having a narrow gap between the number of followers and follows also led to increased judgments of competence. Implications of these findings are discussed, along with limitations of the current study and directions for future research.     

Trusting expert- versus user-generated ratings online: The role of information volume,valence, and consumer characteristics

The warranting principle, signaling theory, and theories of informational social influence suggest conditions when either user-generated information, or information originating from traditional experts, might be privileged online. A random sample of 1207 U.S.-based adults with Internet access completed an experiment that manipulated the source, volume, and valence of online movie ratings in order to test predictions derived from these perspectives. Results indicated that ratings volume is positively associated with trust of, reliance on, and confidence in user-generated content, as well as the congruence between one’s own and others’ opinions; that ratings source and volume interact to impact credibility perceptions, reliance on user-generated information, and opinion congruence, such that people tend to favor experts when there is low information volume, but favor user-generated information under conditions of high information volume; and that people’s opinions and behavioral intentions converge with the online ratings information to which they are exposed. In addition, these effects apply more strongly to people more conversant with user-generated content. Results indicate important theoretical extensions by demonstrating that social information online may be filtered through signals indicating its veracity, which may not apply equally to all social media users.     

相似理论在仿真可信性分析中的应用

相似理论是计算机仿真的基础,它在建立仿真模型、仿真可信性评估等方面都有很好的指导作用。基于相似理论的基本原理,讨论系统仿真的可信性问题,提出了基于相似理论的系统仿真可信性分析的基本思想和方法,并对如何评估仿真系统的相似度问题在理论上做了一定的研究和探讨。     

基于飞参数据的飞行仿真模型验证方法研究

仿真模型验证已成为仿真研究的有机组成部分。为了更好地对飞行训练模拟器飞行仿真模型进行可信性评估,提高飞行训练模拟器飞行仿真模型的逼真性,将飞参数据应用于验证飞行训练模拟器飞行仿真模型的可信性。提出飞行仿真模型验证的验证方案,并对方案中的飞参解译、飞参数字滤波、飞行阶段识别及飞参数据插值处理等技术进行研究。介绍仿真模型验证量化评估的方法,包括时域分析法和频域分析法,并将这几种方法应用于某型飞行训练模拟器飞行仿真模型的验证,验证结果表明,利用飞参数据验证飞行仿真模型的方法完全可行。     

基于CCA和数据引力场模型的社交媒体信息置信度评估方法

近年来,微博平台作为社交媒体载体之一,已经成为新闻信息传播的重要工具.然而,微博平台自身特性决定了其无法提供避免谣言或是虚假信息传递的有效机制.针对这一问题,建立一套完整的算法框架来判断微博的置信度.首先,从不同视角对微博数据提取特征,并将这些多视角的特征通过典型相关分析法（Canonical Correlation Analysis,以下简称CCA）映射到共同子空间中.接下来,从物理学的重力场理论中获得启发,设计一种新的判别学习算法-数据引力场模型（Data Gravitational Field,以下简称DGF）并从大量信息中判别出错误信息或虚假信息.实验表明,这种信息置信度自动检测方法能够达到较高的准确率和召回率.同时,相比较于其它学习算法,数据引力场模型也有更好的表现.     

A motives framework of social media website use: A survey of young Americans

Social media is increasingly important in daily life and is an especially important social interaction mechanism for young people. Although research has been conducted evaluating user types based on motives for using social media, no such framework has been extended to social media websites. We extend previous research by evaluating the underlying structure of social media website usage motivations using a 13 item survey and evaluations from 19 different social media websites administered to 1686 young Americans. Using a multidimensional scaling approach, we uncover 2 major motive dimensions underlying social media website use: fun-related and content-specific. Based on the derived dimensions, we generate a graphical “quadrant” system for classifying social media websites and depict all 19 social media sites based on their quadrant. We propose that our quadrant system can be used by other researchers to further refine understanding of social media website usage motives.     

基于模糊AHP的系统仿真可信度评估方法

该文讨论用模糊层次分析法(fuzzy AHP)计算影响系统仿真可信度评估的各因素的权重,fuzzy AHP基于模糊理论,用三角模糊数表示两两判断矩阵。通过比较第1个对象满足m个目标的综合程度计算权重向量。filzzy AHP用法考虑了人们对复杂事物判断的模糊性,能够更好地克服人为主观判断、偏好给决策带来的影响,因而更具有合理性。最后的应用结果表明该方法科学合理,简单实用,具有一定的工程应用价值。     

The Social Media Disorder Scale

There is growing evidence that social media addiction is an evolving problem, particularly among adolescents. However, the absence of an instrument measuring social media addiction hinders further development of the research field. The present study, therefore, aimed to test the reliability and validity of a short and easy to administer Social Media Disorder (SMD) Scale that contains a clear diagnostic cut-off point to distinguish between disordered (i.e. addicted) and high-engaging non-disordered social media users.Three online surveys were conducted among a total of 2198 Dutch adolescents aged 10 to 17. The 9-item scale showed solid structural validity, appropriate internal consistency, good convergent and criterion validity, sufficient test-retest reliability, and satisfactory sensitivity and specificity. In sum, this study generated evidence that the short 9-item scale is a psychometrically sound and valid instruments to measure SMD.     

The reciprocal effects of social network site use and the disposition for self-disclosure: A longitudinal study

Since the advent of social network sites (SNSs), scholars have critically discussed the psychological and societal implication of online self-disclosure. Does Facebook change our willingness to disclose personal information? The present study proposes that the use of SNSs and the psychological disposition for self-disclosure interact reciprocally: Individuals with a stronger disposition show a higher tendency to use SNSs (selection effect). At the same time, frequent SNS use increases the wish to self-disclose online, because self-disclosing behaviors are reinforced through social capital within the SNS environment (socialization effect). In a longitudinal panel study, 488 users of SNSs were surveyed twice in a 6 months interval. Data were analyzed using structure equation modeling. The proposed reciprocal effects of SNS activities and self-disclosure were supported by the data: The disposition for online self-disclosure had a positive longitudinal effect on SNS use which in turn positively influenced the disposition for online self-disclosure. Both effects were moderated by the amount of social capital users received as a consequence of their SNS use.     

广州市社会保险管理信息系统的应用与开发

本文就广州市社会保障管理信息系统建设的目标、原则、业务流程、系统结构、系统的安全性等方面展开了阐述,并提出了自己的看法和建议。