Research on cloud computing users’ public safety trust model based on scorecard-random forest

Traditional cloud computing trust models mainly focused on the calculation of the trust of users’ behavior.In the process of classification and evaluation,there were some problems such as ignorance of content security and lack of trust division verification.Aiming to solve these problems,cloud computing users’ public safety trust model based on scorecard-random forest was proposed.Firstly,the text was processed using Word2Vec in the data preprocessing stage.The convolution neural network (CNN) was used to extract the sentence features for user content tag classification.Then,scorecard method was used to filter the strong correlation index.Meanwhile,in order to establish the users’ public safety trust evaluation model in cloud computing,a random forest method was applied.Experimental results show that the proposed users’ public safety trust evaluation model outperforms the general trust evaluation model.The proposed model can effectively distinguish malicious users from normal users,and it can improve the efficiency of the cloud computing users management.     

Predicting users’ profiles in social networkbased on semi-supervised learning

How to derive the users’ hidden profiles using social relationships is studied. Considering the network structure of social network and characteristics of users’ data, the graph based semi-supervised learning algorithm is chose to predict users’ profiles. To improve the prediction accuracy, the attribute affinity is proposed to evaluate whether the value of an attribute is easy to be predicated, and different weight computing formulas are designed to calculate the relationship between users. The experimental data is collected from “renren network” and two attributes, hobbies and schools, are predicted in the experiments. The experimental results show that the strategies for computing weights among users are effective.     

The buffering effect of flow experience on the relationship between overload and social media users’ discontinuance intentions

There is a growing need to understand why users discontinue using social media platforms. Understanding the antecedents of such decisions and the moderators that govern the antecedent effects can help users reach such decisions, and assist service providers in mitigating them. From a theoretical standpoint, there is a need to enrich the theoretical account of social media discontinuance phenomena. To address these issues, we integrate the “stimulus-organism-response” (S-O-R) framework and flow theory. We consequently portray the direct, indirect and moderating roles of flow experience in mitigating discontinuance intentions. We test this model via a survey of 502 WeChat users. The results support the S-O-R model and indicate that social overload, information overload, and communication overload (stimuli) increase the fatigue feelings (organism) of social media users, which, in turn, increase their social media discontinuance intentions (response). By combining the S-O-R perspective with flow theory, we show that flow experience not only help reduce users’ perceptions of fatigue and discontinuance intentions, but also moderate (weaken) the effects of fatigue on discontinuance intentions. Flow experience, therefore, serves as a means to inhibit the formation of social media discontinuance intentions, even when overload and fatigue persist. The present research also has several valuable theoretical and practical implications.     

How does social media change Chinese political culture? The formation of fragmentized public sphere

Social media promotes a broad discussion about the contemporary public sphere in China. Analyzing the relationship between social media and democratic politics in the unique context of China helps us to rethink a metamorphosis of Habermas’s public sphere model. The study supports the idea that the online public sphere more often than not transforms into a fragmentized formation of the multiple tensions between participatory democracy, journalism transformation and governmental authority. It may be difficult, under a single theoretical framework of civil society, to map out the complexities in Chinese social media. The key point is how a fragmentized structure of the public sphere has been integrated in the power game process of achieving consensus. Based on the special Internet policies and political environment in China, the implication of public sphere theory in Chinese social media is reconsidered.     

Understanding publics’ post-crisis social media engagement behaviors: An examination of antecedents and mediators

This study examines the psychological mechanisms underlying the process that enables publics’ individual differences (e.g., the levels of uncertainty avoidance and social media usage) to give rise to varying post-crisis social media engagement intentions (e.g., information seeking, support seeking, and negative word-of-mouth). The study confirms that this process is serially mediated by perceived threat severity, perceived susceptibility, and negative emotions. These psychological mediators, however, function differently between uncertainty avoidance and social media usage. For uncertainty avoidance, a high arousal negative emotion (e.g., anger, fear) is a more essential step to influence engagement intentions than a low arousal emotion (e.g., shame, guilt). For social media usage, however, the type of aroused negative emotions does not matter. Rather, the relationship social media usage has with information seeking is different from that with support seeking and negative word-of-mouth intentions. Social media usage induces information seeking intentions only through publics’ cognitive appraisals of the situation without the activation of negative emotions, while it induces supporting seeking and negative word-of-mouth intentions through both cognitive appraisals and negative emotion arousals.     

Exploring the differences of users’ interaction behaviors on microblog: The moderating role of microblogger’s effort

On microblog, users interact with microbloggers via three behaviors—forward, comment, and like. Prior studies have paid more attention to forward, little research has investigated the differences between these three behaviors. Besides, there is a lack of an integrated theoretical framework that explores whether the same factors have different impacts on the behaviors. This study investigates the differences that users’ interactions behaviors in the presence of the same factors. Building upon elaboration likelihood model (ELM) and text mining, the propose of this study is to systematically explore the relationships among content features (topical relevance, information richness) of post, source features (credibility, social ties and activeness) of microblogger, and users’ interaction behaviors. More importantly, we explore whether such relationships are contingent on microblogger’s effort (material motivation and information originality). A panel data was constructed using a total of 437,533 posts from Sina-Weibo, the largest micro-blogging platform in China. The empirical results show that topical relevance and social ties significantly affect users’ interaction behaviors. Source credibility and source activeness are partially influence the behaviors. additionally, there are positive and negative effects between information richness and the behaviors, indicating that both the bright and dark side of information richness. In addition, the microblogger’s effort moderate the most of the relationships between content features and the three behaviors. These results indicate that there are differences among the three behaviors. Overall, these findings could offer new insights into the deep understanding of the differences among users’ interaction behaviors on microblog.     

Do social media campaigns foster vaccination adherence? A systematic review of prior intervention-based campaigns on social media

The COVID-19 pandemic has demonstrated the importance of large-scale campaigns to facilitate vaccination adherence. Social media presents unique opportunities to reach broader audiences and reduces the costs of conducting national or global campaigns aimed at achieving herd immunity. Nonetheless, few studies have reviewed the effectiveness of prior social media campaigns for vaccination adherence, and several prior studies have shown that social media campaigns do not increase uptake rates. Hence, our objective is to conduct a systematic review to examine the effectiveness of social media campaigns and to identify the reasons for the mixed results of prior studies. Our methodology began with a search of seven databases, which resulted in the identification of 92 interventions conducted over digital media. Out of these 92 studies, only 15 adopted social media campaigns for immunization. We analyzed these 15 studies, along with a coding scheme we developed based on reviews of both health interventions and social media campaigns. Multiple coders, who were knowledgeable about social media campaigns and healthcare, analyzed the 15 cases and obtained an acceptable level of inter-coder reliability (> .80). The results from our systematic review show that only a few social media campaigns have succeeded in enhancing vaccination adherence. In addition, few campaigns have utilized known critical success factors of social media to induce vaccination adherence. Based on these findings, we discuss a set of research questions that informatics scholars should consider when identifying opportunities for using social media to resolve one of the most resilient challenges in public health. Finally, we conclude by discussing how the insights drawn from our systematic reviews contribute to advancing theories, such as social influence and the health belief model, into the realm of social media–based health interventions.     

Examining the roles of social media and alternative media in social movement participation: A study of Hong Kong’s Umbrella Movement

During the recent wave of pro-democracy movement across the world, new media technologies play a vital role in mobilizing participants. Much scholarly attention has been paid to the role of social media in empowering grassroots movements, but the rise of alternative media was somehow ignored. This study examines the impacts of social media and alternative media on social movement participation. The data came from a survey of 769 students from eight public universities in Hong Kong at the height of the Umbrella Movement. The findings revealed that acquisition of political information from social media and alternative media is associated with social movement participation through different mechanisms. Specifically, social media serve as an echo chamber where people are motivated to participate by perceiving a homogeneous opinion climate and forming a pro-protest attitude. In contrast, alternative media serve as an attitude intensifier to facilitate social movement participation.     

Does social media use really make people politically polarized? Direct and indirect effects of social media use on political polarization in South Korea

To help inform the debate over whether social media is related to political polarization, we investigated the effects of social media use on changes in political view using panel data collected in South Korea (N?=?6411) between 2012 and 2016. We found that, although there were no direct effects of social media use, social media indirectly contributed to polarization through increased political engagement. Those who actively used social network sites were more likely to engage in political processes, which led them to develop more extreme political attitudes over time than those who did not use social network sites. In particular, we observed a clear trend toward a more liberal direction among both politically neutral users and moderately liberal users. In this study, we highlight the role of social media in activating political participation, which eventually pushes the users toward the ideological poles. The implications of these findings are discussed.     

Understanding the effects of the textual complexity on government communication: Insights from China’s online public service platform

While texts are the primary carriers of information for government decision making, few studies have examined the role of textual complexity in government-citizen communication. Using a variety of natural language processing methods, this paper measured textual complexity from the perspectives of word complexity, logical complexity, and abnormal negative emotion based on the textual data of the 1.15 million online messages left by the citizens to government leaders on China’s online public service platform, and explored its impact on government responses. Based on the Double-hurdle model, this paper found that the government response can be composed of two decision-making processes: response-intention, which indicates whether to respond, and response-level, which represents the extent of response. For response-intention decision-making, the simpler the words and logic of the message, the more likely it is to receive a reply from the government. For response-level decision-making, messages with more complex words and logic received a higher level of government response. Abnormal negative emotion in the message significantly reduced the government’s response intention and response level, and the negative effect of abnormal negative emotion on response intention was much greater than on the response level. This study not only helps to understand how the government makes decisions based on textual information, but also has important value for responsive government construction and equalization of government services.     

Engaging audiences on social media: Identifying relationships between message factors and user engagement on the American Cancer Society’s Facebook page

In this study, a content analysis was conducted with posts from American Cancer Society’s (ACS) Facebook page to explore the relationship between message relevance, source characteristics, and message features with the number of likes, comments, and shares received by them. Limited Capacity Model for Motivated Mediated Message Processing (LC4MP) was used as the theoretical foundation for the study. Findings showed that cancer-related posts received more likes, comments and shares than posts that were not related to cancer. Also, posts by the American Cancer Society received more likes, comments, and shares than other source categories. Findings also indicated that though message features were related to likes, comments, and shares, the nature of relationship and the role of different features varied with each measure. Overall, findings highlight the role of motivational activation through message factors in eliciting user response in social media environments.     

Identifying associations between mobile social media users’ perceived values,attitude, satisfaction,and eWOM engagement: The moderating role of affective factors

Recently, the explosive growth of mobile social media technologies has dramatically transformed individuals’ interpersonal interaction, decision-making, and daily lifestyles. The primary objectives of this current article are to investigate the possible influences of perceived values (hedonic and utilitarian) on WeChat users’ affective responses (attitude and satisfaction) and electronic word-of-mouth (eWOM) engagement. This study represents one of the few that utilized customer-perceived value theory and uses and gratifications theory to establish a conceptual framework to determine consumers’ word-of-mouth behaviors in the WeChat setting. Based on a web-based survey of 408 WeChat users, structure equation modeling was implemented to identify and confirm the hypothesized research model. Overall, the results reveal that hedonic value and utilitarian value positively and significantly impact WeChat users’ attitudes and anticipated satisfaction. Additionally, satisfaction has a significant influence on eWOM engagement. Furthermore, utilitarian value is discovered to exert a significant indirect effect through satisfaction on eWOM engagement. The obtained outcomes offer fresh insight into whether and how mobile social media could promote mobile social media users’ attitudes and gratification which subsequently would facilitate indicators of eWOM engagement in contemporary mobile-mediated context.     

A survey of ‘young social’ and ‘professional’ users of location-based services in the UK

The objective of this study was to assess the response to location-based services (LBS) by three key demographic groups within the United Kingdom. This study took the form of a survey of relevant demographics, attitudes and consumer behaviour undertaken via a web-based survey. Results are based on over 1200 respondents, filtered and segmented into three demographic groups who are typically early adopters of new technology. There were positive attitudes towards a range of LBS, with the major exception being location-based advertising. There were mixed views towards location-based gaming and safety camera information. There were low levels of awareness of many services. The levels of use were typically under 20% for all types of LBS.     

Research on the anti-synchronization chaos system group ＆large scale distributed system security communication

Chaotic system model about point group symmetry in the phase space was constructed,and the anti-synchronization problem of the chaotic system group was studied.Besides,a kind of chaotic system group anti-synchronization controller was proposed,and the anti-synchronization of the chaos system group was realized.Through experimental observation,the position of chaos system about the subsystem and the source system after the point symmetry transform changed in phase space.The phase space power trajectory,space topology and other original system presented symmetrical structure.By using the above research conclusions,a kind of carrier communication method of anti-synchronization chaos system group was put forward.It solved the increasingly urgent communication security issues of modern complex distributed and large scale communication system with many access signals and parallel transmission.In addition,with permanent magnet synchronous motor chaos model,simulation and validation were conducted.The experimental results show that the method has good application prospect,and is suitable for modern communication system.     

Digital natives’ intention to interact with social media: Value systems and gender

Social media research focuses predominantly on the link between attitude, behaviour and intention, and rarely takes value systems into account. Values are expected, through intervening variables, to affect intention directly or indirectly. Starting from the Theory of Trying, the aim of this study is to investigate how value systems affect digital natives’ intention to interact with social media. By using Fuzzy Set Qualitative Comparative Analysis (fsQCA), an empirical analysis involving data from 116 social media users is carried out to examine how global and domain-specific values, attitude towards trying and gender affect the intention to interact. The results of a configurational analysis show that gender appears to affect many of the configurations leading to the outcome of interest. There are two configurations in which, regardless of gender, global values, domain-specific values and attitude towards trying cause the outcome. The findings indicate that there is no single condition necessary to ensure the outcome, but there are several different configurations of the conditions lead to outcome of interest.     

Cross-group or within-group attention flow? Exploring the amplification process among elite users and social media publics in Sina Weibo

As one of the most important forms of communicative behavior, retweeting enhances the importance or visibility of a particular object in social media. Conceptualizing retweeting as a process of amplification, this study examines how attention to a particular set of issues may be increased by the actions of verified users or social media publics on the largest Chinese microblogging website, Sina Weibo. The Granger-causality test was applied to analyze the sequential linkage between original posts and retweets by different user groups across days 1 to 14. The results show that verified users’ original posts on unobtrusive issues triggered related retweets only in their own network, while social media publics’ original posts on both unobtrusive and obtrusive issues triggered related retweets within their own group. In addition, the results demonstrate that amplification of different types of issue exhibits systematically different temporalities, that is, the response to obtrusive issues is more immediate and ephemeral than that response to unobtrusive issues. The findings highlight the possibilities and limitations of grassroots empowerment through social media in China, and provide meso-level evidence about the complex issue of attention flows in social media – whether bottom-up or top-down.     

Why DO citizens engage in government social media accounts during COVID-19 pandemic? A comparative study

The worldwide COVID-19 outbreak that crushed the global economy and healthcare increased the public willingness to acquire more information and enthusiasm to engage online among billions of users through social networks. As more towns, cities, and regions turn to lockdown, government social media accounts (GSMAs) develop as a trustworthy source to obtain information about the COVID-19 pandemic. Thus, investigating the determinants and consequences of citizens' participation behavior on GSMAs is essential. Drawing on the self-determination theory (SDT) and civic volunteer model (CVM), we examine the influence of motivational factors (i.e., intrinsic extrinsic) on citizens' participation behavior on GSMAs, which leads to online civic behavior. Comparative research between China and Pakistan is carried out using data collected through an online survey. This study shows that information-seeking, political benefits, self-development, altruism, and perceived reciprocity are the critical antecedents of citizens' participatory behavior on GSMAs in both countries, resulting in online civic behavior. Furthermore, moderating results reveal that perceived connectivity moderates the relationship between certain motivational factors (intrinsic and extrinsic) and citizens' participatory behavior on GSMAs, whereas trust in government moderates the relationship between participatory behavior on GSMAs and online civic behavior during COVID-19. Theoretical and managerial implications are discussed in detail.     

Social media and political partisanship – A subaltern public sphere’s role in democracy

Social media, as a subaltern public sphere (Fraser, 1990), have a democratic function in providing an alternative platform for minorities and marginalized to defy mainstream discourses in the public sphere. However, social media have been found to have an echo chamber effect, which may be detrimental to democracy. They may help to accelerate the ascendancy of a “post-truth” era in which objective facts are less influential in shaping public opinion than appeals to emotion and personal belief. A study on political polarization, however, showed that selective exposure and avoidance in social media are weak indicators of polarization (Johnson et al., 2017). This study examines the role of social media in democracy and partisan politics. The authors considered that despite the echo chamber effect, social media have a limited part to play in the formation of polarized stances compared with other factors, such as demographics, political orientation, and mass media use. The study tested two main hypotheses: H1: Social media use is associated with political stance that is marginalized in the mainstream media; H2: Political orientation has a stronger relationship than social media use with the stance toward political values and social issues.The results supported both hypotheses. Social media are associated with political stance that is marginalized in the mainstream media. However, when compared with other factors, the relationship between social media and stance becomes less obvious. Although the echo chamber effect may reinforce the original stance, social media do not exhibit a strong relationship with the stance toward political values and social issues. Partisan orientation and use of partisan mass media are found to have stronger links with variations in stance. Social media, however, provide a subaltern public sphere for those excluded from the dominant public sphere, thus extending the public sphere to accommodate multiple opinions and perspectives.     

Network enforcement as denunciation endorsement? A critical study on legal enforcement in social media

Facing the increasing prevalence of hate speech and other personality rights violations on social media, the legislature tries to improve the law enforcement by involving the social media companies. In 2017, the German Bundestag passed a new law, the Network Enforcement Act (NetzDG), which requires website owners to review the content published on their pages upon it being reported by users and to remove it as soon as possible in the event of a breach of the law. This forces social media operators to establish efficient reporting systems which can create breeding grounds for user denunciation. To get an overview of whether this is really the case, we briefly discuss state surveillance and denunciation and analyse the statistics of content blockings and deletions in five countries (USA, Germany, United Kingdom, Russia and Turkey). In Germany the number of blockings and deletions of content has risen for Facebook, Twitter and YouTube due to the NetzDG, but it has also been found that the majority of reports were unjustified as they did not lead to any restriction or deletion of the content. When comparing the German numbers with those of the other countries investigated, it becomes apparent that after the introduction of the NetzDG in Germany, more content is being blocked and deleted. Also, a comparison of the various laws regulating online content in these countries was conducted. It was found that not only Germany has tightened the regulation of online content and that other countries are also trying to transform the Internet into a more hate free environment.     

Should I scan my face? The influence of perceived value and trust on Chinese users’ intention to use facial recognition payment

While China has seen the widespread adoption of facial recognition payment, concerns over the potential risks impede the further growth of user acceptance. Drawing on the perspectives of perceived value and trust, we developed a research model to explore how the Chinese users’ trade-off between perceived benefits (perceived convenience and perceived novelty) and perceived risks (perceived privacy risk and perceived financial risk) influences their usage intention. Based on survey data from 1,200 Chinese mobile payment users, this study uses structural equation modeling to examine the hypotheses. Our results show that perceived convenience positively influences perceived value, while privacy risk and financial risk negatively influence perceived value and trust. Although perceived novelty has no significant effect on perceived value and trust, perceived value positively influences trust, and both of them have a positive effect on the intention to use. Furthermore, our moderation analysis indicates that the influence of perceived value on the intention to use is stronger among users who consider facial information to be more sensitive. The theoretical implications for research as well as the practical implications for practitioners are also discussed.