Local e-government 2.0: Social media and corporate transparency in municipalities

Various authors have highlighted the potential contribution of the internet to enhance the interactivity, transparency, and openness of public sector entities and to promote new forms of accountability. The search for new styles of governance which promote higher levels of transparency and the engagement of citizens is viewed as a way of improving citizens' trust in governments. As the social media are becoming ubiquitous, both academics and practitioners need some initial and reliable background data about the deployment of this kind of technology at all levels. The aim of this work is to provide an overall view about the use of Web 2.0 and social media tools in EU local governments in order to determine whether local governments are using these technologies to increase transparency and e-participation, opening a real corporate dialog. In addition, the paper tries to identify which factors promote the level of development of these tools at local level. Our results show that most local governments are using Web 2.0 and social media tools to enhance transparency but, in general, the concept of corporate dialog and the use of Web 2.0 to promote e-participation are still in their infancy at the local level.     

A model for understanding new media literacy: Epistemological beliefs and social media use

New media literacy (NML) skills are regarded as crucial for the 21st century. However, there is limited research on the factors affecting NML skills. A robust model was built for exploring the antecedents of NML. The model incorporated epistemological beliefs and social media use purposes. Individuals` purposes of social media use were found to have an effect on beliefs about information. Further, interactional and communicational use of social media makes epistemological beliefs more sophisticated. However, it is more likely to have naïve beliefs with the use of social media for making new friends. Also, the purposes of social media use and epistemological beliefs affect NML skills. Accordingly, interactional use of social media might contribute to justifying information, in turn, increasing NML skills. This study indicates that knowledge of social media use and epistemological beliefs enables us to largely understand the NML skills.     

Enabling AI capabilities in government agencies: A study of determinants for European municipalities

Artificial Intelligence (AI) is gradually becoming an integral part of the digital strategy of organizations. Yet, the use of AI in public organizations in still lagging significantly compared to private organizations. Prior literature looking into aspects that facilitate adoption and use of AI has concentrated on challenges concerning technical aspects of AI technologies, providing little insight regarding the organizational deployment of AI, particularly in public organizations. Building on this gap, this study seeks to examine what aspects enable public organizations to develop AI capabilities. To answer this question, we built an integrated and extended model from the Technology-Organization-Environment framework (TOE) and asked high-level technology managers from municipalities in Europe about factors that influence their development of AI capabilities. We collected data from 91 municipalities from three European countries (i.e., Germany, Norway, and Finland) and analyzed responses by means of structural equation modeling. Our findings indicate that five factors – i.e. perceived financial costs, organizational innovativeness, perceived governmental pressure, government incentives, regulatory support – have an impact on the development of AI capabilities. We also find that perceived citizen pressure and perceived value of AI solutions are not important determinants of AI capability formation. Our findings bear the potential to stimulate a more reflected adoption of AI supporting managers in public organizations to develop AI capabilities.     

Post-trauma: healthcare practitioners use social media during times of political tension

The approach of context collapse and the notion of unintentional context collisions are of importance to scholars of social media. Israeli public hospitals are a particularly suitable venue for studying these topics, as they employ both Jewish and Arab practitioners, who care for both Jewish and Arab patients amid an ongoing violent conflict. In-depth interviews were conducted with 50 managers and healthcare practitioners (physicians and nurses), both Jewish and Arab, employed at 11 public hospitals in Israel. We found that despite hospitals managements’ instructions to avoid political discourse, it erupts nonetheless whenever the conflict escalates. Fearing damage to professional relations and care of patients, political discourse spills over into social media, where political opinions are expressed mostly by Arab practitioners and stereotypical attitudes against Arabs are expressed mostly by Jewish ones. Our study exemplifies the usefulness of the context collapse approach—and specifically unintentional context collisions—to work organizations and all the more so to healthcare organizations.     

Political distrust in Hong Kong: News media use and political beliefs regarding the 1997 transition

As Hong Kong prepares for a political transition in 1997, neither the existing colonial British government nor the impending People's Republic of China (PRC) has established a strong historical foundation for political trust within the territory. In this study, we examine the level of distrust towards the existing and future political regimes, as well as attitudes towards Hong Kong's future. Based on a representative telephone survey of Hong Kong residents (N = 512), we find a high degree of political distrust among respondents, particularly towards the PRC administration. Although initial bivariate analyses establish some association between distrust and media exposure, channel preference, and demographic variables, further multivariate analyses suggest that many of these factors are highly interrelated. One central finding is that among men and those with middle to high socio‐economic status, television news exposure is associated with trust in the PRC. Conversely, women and younger people tend to distrust the PRC, regardless of their news exposure.     

Information networks and social media use in public diplomacy: a comparative analysis of South Korea and Japan

This article examines how South Korean and Japanese public diplomacy organizations employ digital media to embrace the principle of ‘networked public diplomacy’ through analyses of the web and social media practices. A network analysis was used to map interorganizational information networks among core public diplomacy organizations in each country. To reveal the key organizations' communication strategies on Facebook, a content analysis was also conducted. The findings indicate that Japan had a strong internal network infrastructure achieved through dispersed connections and partnerships; however, Korea had a centralized network, including a limited number of dominant actors. The results of content analysis suggest that both South Korea and Japanese public diplomats focused on promoting their cultural products and national values through their use of texts and visual images. In addition, user profile analysis gaged the degree of users' engagement in the organizations' profiles and identified the demographic features of users. Comparative data suggest the Korean public diplomacy organization was more successful at attracting and engaging with foreign public than the Japanese public diplomacy organization. These results imply that although these two countries had similar sociopolitical backgrounds and perspectives of public diplomacy, they had distinct forms of internal information networks, communication strategies, and social networking performances with public.     

Multiple issue publics in the high-choice media environment: media use,online activity,and political knowledge

This study examines the role of membership in multiple issue publics by understanding its relationship to media use, online activity, and political knowledge. Using data from Taiwan's 2008 Social Change Survey, the study shows that members of multiple issue publics was positively associated with television watching, political talk show watching, and online news reading. In addition, they were found to engage in specific online activities, including information browsing, information exchanging, information gathering, taking part in forum discussions, and blogging. Therefore, members of multiple issue publics tend to use media with a high level of selectivity and engage in online activities that allow them to express opinions, gain knowledge, or discuss issues with others. A curvilinear relationship was explored and found between multiple issue-public membership and general political knowledge. This demonstrates that individuals' ability to process information may not extend beyond certain boundaries, no matter how many issue publics individuals are involved in.     

Research universities on the ResearchGate social networking site: An examination of institutional differences,research activity level,and social networks formed

As one of the largest active academic social networking sites, ResearchGate (RG) has been utilized by scholars to share publications, seek collaborators, communicate work in progress, and build scholarly reputation. This study collects data from RG users from 61 U.S. research universities at different research activity levels, as categorized by the Carnegie Classification of Institutions of Higher Education, to examine the impact of institutional differences on RG reputational metrics. The results confirm that RG is a research-oriented academic social networking site that closely and realistically mirrors the research activity level of institutions. With an increase in the research activity level of a university, its affiliated RG users tend to have higher RG scores, more publications and citations, and more profile views and followers, while the average number of reads of their publications and followees tend to be lower and fluctuant. In addition, RG users primarily follow others from institutions of a higher research activity level, forming virtual social networks centered around esteemed institutions. The study suggests academic social networks can serve as indicators in evaluation of research activities among research institutions, and such sites can be helpful and credible for acquiring resources, keeping informed about research, and promoting academic influence.     

Measures of Political Talk Frequency: Assessing Reliability and Meaning

Although many insights about political conversation have been gleaned from survey data, researchers have yet to engage in serious and intense scrutiny of the measures used to assess political discussion habits. Analyzing three types of data (two three-wave panel studies, social network data from 25 intact groups, and a cognitive interview), this paper examines the reliability of (and meaning ascribed to) self-reported political discussion frequency measures. Results of Study 1 and Study 2 suggest that self-report measures of political discussion exhibit strong internal consistency at a given time point, but substandard reliability within individuals over time and between members of a dyad. Study 3 demonstrates substantial variability in survey respondents’ definitions of political discussion, with more expansive definitions of politics related to higher reports of political discussion frequency. Directions for future research to enhance understanding and improve the reliability of political discussion measures are addressed.     

Opinion mining in social media: Modeling,simulating, and forecasting political opinions in the web

Affordable and ubiquitous online communications (social media) provide the means for flows of ideas and opinions and play an increasing role for the transformation and cohesion of society – yet little is understood about how online opinions emerge, diffuse, and gain momentum. To address this problem, an opinion formation framework based on content analysis of social media and sociophysical system modeling is proposed. Based on prior research and own projects, three building blocks of online opinion tracking and simulation are described: (1) automated topic, emotion and opinion detection in real-time, (2) information flow modeling and agent-based simulation, and (3) modeling of opinion networks, including special social and psychological circumstances, such as the influence of emotions, media and leaders, changing social networks etc. Finally, three application scenarios are presented to illustrate the framework and motivate further research.     

Toward an etiology of media use motivations: the role of temperament in media use

Despite the potential of the uses and gratifications paradigm to explain the etiology of media uses and effects, most research to date has ignored the issue of etiology and has focused on creating motivation typologies. Recent advances in bio-behavioral research provide a new way to address the question of etiology. A survey of 285 adults showed that the biologically rooted individual difference behavior variable of temperament was a consistent and moderately strong causal factor in forming television use motivations. Distinct patterns of relationships between temperament and all television use gratifications were found, supporting the uses and gratifications paradigm. Particularly potent predictors of television use motivations were negative mood, low task orientation, and behavioral rigidity. These results point out the importance of future bio-behavioral etiological media uses and effects research.     

Local governments' use of social media during the COVID-19 pandemic: The case of Portugal

While the use of social media by local governments has gained relevance in recent years, crises are critical situations that reinforce the need to reach citizens to disclose information, demonstrate the government's commitment, and increase the citizens' level of preparedness and awareness of resources. This paper examines the factors that influenced local governments' e-disclosure during the first wave of the COVID-19 pandemic. To accomplish this objective, we systematically tracked every post published by the official Facebook page of 304 Portuguese municipalities between March 2 and July 5, 2020. The findings show that financial autonomy is the main predictor of e-disclosure, factors varied on the different phases of the pandemic's first wave, and sociodemographic factors became more prevalent as explanatory factors when the crisis worsened. Our study may help increase the level of preparedness during possible future crises. In particular, establishing communication strategies for prolonged public health crises, making financial resources available for the accomplishment of such strategies, and reducing the digital divide can contribute to more effective disclosure. Future research should explore the dynamics of disclosure during public health crises. This study also highlights the need to incorporate time in research that focuses on the determinants of e-disclosure that could also be tested in normal times.     

News media,movies, and anti-Muslim prejudice: investigating the role of social contact

This study examines the relationship between Indian non-Muslim adolescents’ Western and Indian news media use, exposure to Hollywood and Bollywood movies, and their prejudice against Muslim minorities. Based on contact hypothesis, the moderating roles of out-group contact were tested within this framework. Multivariate analyses revealed that Western news media use and exposure to Hollywood movies were significant predictors of anti-Muslim prejudice, while frequent, enriched contact with Muslims reduced out-group prejudice. The relationship between Indian news media use and prejudice was statistically insignificant. The theoretical and practical implications of these findings are discussed.     

From platform jumping to self-censorship: internet freedom,social media,and circumvention practices in Zambia

This article describes the complex media environment of urban Zambia based on qualitative interviews with 42 active ICT and social media users in Lusaka. After a contextual discussion of media censorship and Internet freedom, the article draws upon interview data to delineate four circumvention practices: (1) platform jumping; (2) anonymity; (3) self-censorship; and (4) negotiation of legal challenges. Rather than approach circumvention as a set of techniques disseminated from the information capitals of the world to those in the “global south,” this study approaches it as a set of cultural practices that emerges within particular sociohistorical conditions and platforms of communication.     

Trust,norms and networks in social media environmental mobilization: a social capital analysis of Under the Dome in China

After the Spring Festival of 2015, an environmental documentary called Under the Dome in which Chai Jing acted as a narrator has caused the public opinion to boom in social media in China. Why could a documentary released by internet attract so much attention and spark such a heated discussion? What are the factors that have influence on the information dissemination of social media environmental mobilization? This paper employed case study and semi-structure interviews to reveal these questions. It turned out that individual trust, group norms and information networks of the social capital played an important role in the social media environmental mobilization. The reason why Under the Dome became a hot issue was that it made full use of the social media users’ trust on the mobilizer, aroused the mobilized’s emotions and combined the network channels of social relationships.     

Public employees' use of social media: Its impact on need satisfaction and intrinsic work motivation

Although increasing numbers of employees working in public organizations are using social media for work purposes and numerous studies exist on how social media affect organizational outcomes, we have very limited knowledge of how using social media for work purposes affects employees' work motivation. This paper fills this important gap by using self-determination theory (SDT) to analyze how the use of social media for work purposes is associated with government employees' need satisfaction and intrinsic work motivation. According to regression results, employees' use of social media is positively related to employees' need satisfaction (autonomy, relatedness, and competence) and, accordingly, intrinsic work motivation. However, further analysis shows that too much use of social media has an averse effect. Theoretically, this study is one of the pioneer attempts to integrate e-governance with SDT. Practically, we encourage managers to use caution in promoting the use of social media for work purposes. Using social media two to three days a week may be the ideal range.     

Students' increased time spent on social media,and their level of coronavirus anxiety during the pandemic,predict increased social media addiction

Background

During the COVID-19 pandemic period, the level of anxiety and the duration of social media use increased in university students.

Objectives

This study aimed to examine the relationship between coronavirus anxiety and social media addiction in university students.

Methods

The sample consisted of 346 university students in Turkey. The data were collected online using the Sociodemographic Data Form, the Coronavirus Anxiety Scale Short Form and the Social Network Addiction Scale. The data were analysed using one-way analysis of variance, Mann–Whitney U test, Pearson correlation analysis, chi-square analysis and multiple linear regression analysis.

Results

The results showed that the mean coronavirus anxiety score was higher in men than in women. Social media addiction increased as the daily time spent by the students on social media increased. A positive correlation was found between the daily time spent on social media before the pandemic and social media usage during the pandemic. It was concluded that students use social media more during the pandemic than before it and that social media addiction increases as the students' coronavirus anxiety increases.

Conclusion

It is important to plan initiatives to reduce coronavirus anxiety to prevent social media addiction in young people.

Study Location and Sample

The research population consisted of 1st and 2nd year students who are studying in the Medical Services and Techniques Department of Vocational School of Health Services at a university located in the west of Turkey, during the Fall Term of academic year 2020–2021. Students in this department are studying in anaesthesia, dialysis, first and emergency aid, medical laboratory techniques, medical imaging technique, and medical documentation and secretarial programmes.     

社会结构中的大众传媒:身份认同与新闻专业主义之建构

处于社会结构中的大众传媒,由于受到社会政治权力、经济权力的制约,呈现出独特的传播结构和内在的运行规律.传媒、政府、公众三方构成的传播结构及其在社会中的运行,深刻影响着传媒及其从业者的身份认同的建构,新闻专业主义也由此被建构并因社会和历史环境的变化呈现出不同的面貌.本文旨在厘清社会结构中的传媒、政府、公众之间的复杂关系,寻求一种适合中国国情的新闻专业主义,以助益于正在进一步改革的中国传媒.     

Predicting elections from social media: a three-country,three-method comparative study

ABSTRACT

This study introduces and evaluates the robustness of different volumetric, sentiment, and social network approaches to predict the elections in three Asian countries – Malaysia, India, and Pakistan from Twitter posts. We find that predictive power of social media performs well for India and Pakistan but is not effective for Malaysia. Overall, we find that it is useful to consider the recency of Twitter posts while using it to predict a real outcome, such as an election result. Sentiment information mined using machine learning models was the most accurate predictor of election outcomes. Social network information is stable despite sudden surges in political discussions, for e.g. around elections-related news events. Methods combining sentiment and volume information, or sentiment and social network information, are effective at predicting smaller vote shares, for e.g. vote shares in the case of independent candidates and regional parties. We conclude with a detailed discussion on the caveats of social media analysis for predicting real-world outcomes and recommendations for future work.