How to Foster Citizen Reblogging of a Government Microblog

2022 ◽  
pp. 1203-1219
Author(s):  
Yuguo Liao
Keyword(s):  
Social Media ◽  
Citizen Participation ◽  
Multimedia Content ◽  
Government Agencies ◽  
Using Data

This article examines the strategies used to foster citizens' interaction with government microblogs. While government agencies are urged to adopt social media, little is known about how citizens respond to those efforts. Using data collected from the publicity microblogs of prefecture-level municipalities in China, this article indicates that government microblogs can foster citizen-initiated interaction by acquiring microblog influencers as followers, diversifying the sources of government posts and posting more multimedia content. However, regularly updating a government microblog is not necessarily associated with citizen participation.

How to Foster Citizen Reblogging of a Government Microblog

2018 ◽  
Vol 5 (3) ◽  
pp. 1-15
Author(s):  
Yuguo Liao
Keyword(s):  
Social Media ◽  
Citizen Participation ◽  
Multimedia Content ◽  
Government Agencies ◽  
Using Data

This article examines the strategies used to foster citizens' interaction with government microblogs. While government agencies are urged to adopt social media, little is known about how citizens respond to those efforts. Using data collected from the publicity microblogs of prefecture-level municipalities in China, this article indicates that government microblogs can foster citizen-initiated interaction by acquiring microblog influencers as followers, diversifying the sources of government posts and posting more multimedia content. However, regularly updating a government microblog is not necessarily associated with citizen participation.

FLASH MOB AS A MODERN FORM OF SOCIAL AND POLITICAL PARTICIPATION: ANALYSIS OF TECHNOLOGICAL, MOTIVATIONAL AND IDENTIFICATION FACTORS

2020 ◽  
Vol 15 (5) ◽  
pp. 124-143
Author(s):  
D.I. KAMINCHENKO ◽  
Keyword(s):  
Social Media ◽  
Citizen Participation ◽  
Information Society ◽  
Political Activity ◽  
Political Processes ◽  
Political Events ◽  
Empirical Level ◽  
Mass Participation ◽  
Communicative Space ◽  
Modern Form

Modern digital technologies contribute to the emergence of new forms of social and political activity. One of these forms of participation is flash mob. Flash mobs are able to activate society for mass participation in various political events, which indicates the relevance and necessity of studying flash mobs as a modern form of citizen participation in social and political processes. The purpose of this study is to conduct a comprehensive analysis of the flash mob from the standpoint of the intersection of several factors: technological, identification and motivational. The research methodology at the theoretical level is made up of the theory of the information society and the concept of “network identity”, on the empirical level - the method of sociological survey with the subsequent compilation of contingency tables. As a result of the study, it is established how widespread the practice of participation of active users of social media in various flash mobs is. Based on the data on the most significant opportunities for using social media, an interim conclusion is made about the existing motivational attitudes of the participants in flash mobs. Through the use of several determinants of network identity, a number of its properties are identified and considered, which are manifested in the communicative space of social media. It is established that the factor of participation / non-participation in the flash mob is not decisive in the manifestation of the properties of network identity.

Does Social Media Engagement Translate to Civic Engagement Offline?

2021 ◽  
pp. 089976402199944
Author(s):  
Jaclyn Piatak ◽  
Ian Mikkelsen
Keyword(s):  
Social Media ◽  
Civic Engagement ◽  
Presidential Election ◽  
Civic Participation ◽  
Political Engagement ◽  
Political Campaigns ◽  
The Internet ◽  
Online Engagement ◽  
Informal Volunteering ◽  
Using Data

People increasingly engage in politics on social media, but does online engagement translate to offline engagement? Research is mixed with some suggesting how one uses the internet maters. We examine how political engagement on social media corresponds to offline engagement. Using data following the 2016 U.S. Presidential Election, we find the more politically engaged people are on social media, the more likely they are to engage offline across measures of engagement—formal and informal volunteering, attending local meetings, donating to and working for political campaigns, and voting. Findings offer important nuances across types of civic engagement and generations. Although online engagement corresponds to greater engagement offline in the community and may help narrow generational gaps, this should not be the only means to promote civic participation to ensure all have a voice and an opportunity to help, mobilize, and engage.

scholarly journals Affective communication: a mixed method investigation into COVID-19 outbreak communication using the Taiwanese government Facebook page

2021 ◽  
pp. 175797592110035
Author(s):  
Chia Yu Lien ◽  
Yun-Hsuan Wu
Keyword(s):  
Social Media ◽  
Mixed Method ◽  
Health Authority ◽  
Disease Outbreak ◽  
Government Agencies ◽  
Affective Communication ◽  
Frontline Workers ◽  
The Public ◽  
Qualitative And Quantitative ◽  
Quantitative Results

The COVID-19 outbreak has created an unprecedented challenge for governments to convey information to the public, and social media has become a critical method of COVID-19 communication in Taiwan. Objectives: This study examines a total of 1128 Facebook posts published by Taiwan’s principal health authority from December 1, 2019 to May 31, 2020. Methods: Using both qualitative and quantitative approaches, this study investigates strategies used by the Taiwan government to communicate the COVID-19 outbreak and public responses toward these strategies. Result: Novel uses of Facebook posts on outbreak communication were identified, including solidarity, reviews of actions, press conferences, and the use of animal and cartoon images. Quantitative results showed that the public responded significantly more frequently to messages generating positive affects, such as posts that reviewed government actions and public efforts; posts that expressed thanks, approval, or comradeship; and posts that paired text with photographs of frontline workers or cute animals. Conclusion: These results suggest that, amid a disease outbreak, the public not only look for updated situations and guidelines but also for affective affirmation from government agencies.

Improving sentiment scoring mechanism: a case study on airline services

2018 ◽  
Vol 118 (8) ◽  
pp. 1578-1596 ◽  
Author(s):  
Wandeep Kaur ◽  
Vimala Balakrishnan
Keyword(s):  
Social Media ◽  
Content Type ◽  
Exclamation Mark ◽  
Semantic Orientation ◽  
Social Media Text ◽  
Major Airlines ◽  
Using Data ◽  
Sentiment Score ◽  
Repeated Letter ◽  
Facebook Pages

Purpose The purpose of this paper is to investigate the effect of including letter repetition commonly found within social media text and its impact in determining the sentiment scores for two major airlines in Malaysia. Design/methodology/approach A Sentiment Intensity Calculator (SentI-Cal) was developed by assigning individual weights to each letter repetition, and tested it using data collected from official Facebook pages of the airlines. Findings Evaluation metrics indicate that SentI-Cal outperforms the baseline tool Semantic Orientation Calculator (SO-CAL), with an accuracy of 90.7 percent compared to 58.33 percent for SO-CAL. Practical implications A more accurate sentiment score allows airline services to easily obtain a better understanding of the sentiments of their customers, hence providing opportunities in improving their airline services. Originality/value Proposed mechanism calculates sentiment intensity of social media text by assigning individual weightage to each repeated letter and exclamation mark thus producing a more accurate sentiment score.

scholarly journals Source Trust and COVID-19 Information Sharing: The Mediating Roles of Emotions and Beliefs About Sharing

2020 ◽  
pp. 109019812098476
Author(s):  
Linqi Lu ◽  
Jiawei Liu ◽  
Y. Connie Yuan ◽  
Kelli S. Burns ◽  
Enze Lu ◽  
...  
Keyword(s):  
Social Media ◽  
Information Sharing ◽  
Health Information ◽  
News Media ◽  
Health Professionals ◽  
Government Agencies ◽  
Specific Information ◽  
Academic Institutions ◽  
Source Trust ◽  
Health Information Sharing

Health information sharing has become especially important during the COVID-19 (coronavirus disease 2019) pandemic because people need to learn about the disease and then act accordingly. This study examines the perceived trust of different COVID-19 information sources (health professionals, academic institutions, government agencies, news media, social media, family, and friends) and sharing of COVID-19 information in China. Specifically, it investigates how beliefs about sharing and emotions mediate the effects of perceived source trust on source-specific information sharing intentions. Results suggest that health professionals, academic institutions, and government agencies are trusted sources of information and that people share information from these sources because they think doing so will increase disease awareness and promote disease prevention. People may also choose to share COVID-19 information from news media, social media, and family as they cope with anxiety, anger, and fear. Taken together, a better understanding of the distinct psychological mechanisms underlying health information sharing from different sources can help contribute to more effective sharing of information about COVID-19 prevention and to manage negative emotion contagion during the pandemic.

Artificial Intelligence, Social Media and Depression. ‘Patient’ Autonomy Revisited

2021 ◽  
Vol 66 (Special Issue) ◽  
pp. 133-133
Author(s):  
Regina Mueller ◽  
◽  
Sebastian Laacke ◽  
Georg Schomerus ◽  
Sabine Salloch ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Social Media ◽  
Mental Disorders ◽  
Patient Autonomy ◽  
Ethical Challenges ◽  
Traditional Concept ◽  
Ethical Implications ◽  
Health Related ◽  
Twitter Users ◽  
Using Data

"Artificial Intelligence (AI) systems are increasingly being developed and various applications are already used in medical practice. This development promises improvements in prediction, diagnostics and treatment decisions. As one example, in the field of psychiatry, AI systems can already successfully detect markers of mental disorders such as depression. By using data from social media (e.g. Instagram or Twitter), users who are at risk of mental disorders can be identified. This potential of AI-based depression detectors (AIDD) opens chances, such as quick and inexpensive diagnoses, but also leads to ethical challenges especially regarding users’ autonomy. The focus of the presentation is on autonomy-related ethical implications of AI systems using social media data to identify users with a high risk of suffering from depression. First, technical examples and potential usage scenarios of AIDD are introduced. Second, it is demonstrated that the traditional concept of patient autonomy according to Beauchamp and Childress does not fully account for the ethical implications associated with AIDD. Third, an extended concept of “Health-Related Digital Autonomy” (HRDA) is presented. Conceptual aspects and normative criteria of HRDA are discussed. As a result, HRDA covers the elusive area between social media users and patients. "

Social media responsiveness in the public sector: A study of social media adoption in three functional areas of local government

2017 ◽  
Vol 20 (1) ◽  
pp. 72-99 ◽  
Author(s):  
Daniel J. Seigler
Keyword(s):  
Social Media ◽  
Public Sector ◽  
Local Government ◽  
Citizen Participation ◽  
The Public ◽  
Organizational Influences ◽  
Online Social Media ◽  
Social Media Tools ◽  
Similar Path ◽  
Functional Areas

Based on the importance of citizen participation and the collaborative potential of online social media tools, this study tests four proposed influences on administrators who are deciding whether or not to adopt these tools to engage citizens. A survey of 157 department managers from large U.S. cities shows that 82% report using some form of social media to engage citizens and that perceived organizational influences and administrator preconceptions have the strongest impact on the respondentsʼ decision to adopt social media. Possible explanations for the results are that the use of online social media in the public sector may be following a similar path of adoption as earlier forms of e-government or managers may be operating in a rational environment when deciding whether or not to adopt online social media tools.

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