Why do citizens participate on government social media accounts during crises? A civic voluntarism perspective

Social Media Users' Engagement with Fear Appeal Elements in Government's Health Crisis Communication via State-Owned Media

Government health messaging is significant to the containment of public health crises. Such communication may benefit from using fear appeal, a message strategy for promoting health and preventing diseases. Yet little scholarly attention has been paid to how fear appeal is employed in government messaging to promote social media engagement through online actions including likes, shares, and comments. These actions play a meaningful role in addressing communication exigencies within the context of health crises. In this study, quantitative content analysis and corpus linguistics methods were employed to analyze fear appeal-related elements in COVID-19 messages sent by a state-owned media outlet on social media. The results show that when compared to messages without threat, messages conveying threat elicited significantly more comments, in which emotions and perceptions to threat and efficacy were exhibited, while messages containing both threat and efficacy generated more engagement in comparison to messages with threat alone. Moreover, while subdimensions under efficacy were positive predictors of engagement, those under threat were primarily found to have exerted negative effects. The findings provide insights into how fear appeal elements can be employed in government health crisis communication to engage the public.

Sharing or Hiding? Exploring the Influence of Social Cognition and Emotion on Employee Knowledge Behaviors within Enterprise Social Media

As emerging knowledge management platforms, enterprise social media (ESM) provide an important way for employees to engage in knowledge sharing and information communication within their organization. However, the question of how to encourage employees to engage in continuous knowledge sharing rather than knowledge hiding on ESM has not received sufficient attention from scholars. In contrast to previous studies that focused on a single theory perspective and a single knowledge behavior, in this study, we took a user cognition and emotion perspective and constructed a mechanism model for the impact of knowledge sharing and knowledge hiding among employees on ESM based on social cognition theory and emotion as social information theory. A total of 240 valid questionnaires were collected and used to empirically test the model. The results indicate that reciprocity and outcome expectancy have a significant positive effect on employees' knowledge-sharing behavior, while reciprocity and trust have a significant negative effect on employees' knowledge-hiding behavior. Positive emotions play a positive (enhancing) moderating role on the path between outcome expectancy and knowledge-sharing behavior, while negative emotions play a negative (weakening) moderating role on the path between reciprocity and knowledge-hiding behavior, as well as between trust and knowledge-hiding behavior. By incorporating employee emotions into the framework of social cognition's impact on employee knowledge behavior, this study enriches theories related to enterprise social media, knowledge management, and user behaviors. Our research findings have practical implications for guiding employees to engage in positive knowledge sharing and reducing knowledge hiding on enterprise social media.

Why do people post when they or others are under risk or threat? Sociological and psychological reasons

Introduction

Advances in technology make it easier for users to post content on social media. People can post different types of content in digital environments. Sometimes, they post such content in risky situations. Accordingly, this study aims to determine the sociological and psychological reasons why people record dangerous occurrences where they or other people are under risk or threat and post these recordings on social media.

Methods

This study aimed to answer five research questions. a) Why do individuals use social media? b) Why do people post on social media? c) What types of posts do people share on social media? d) What are the possible psychological reasons that push people to share such occurrences on social media? e) Why do individuals feel the need to record and share dangerous occurrences while under risk or danger? This study was conducted on the basis of a case study design, and interviews were conducted with two psychiatrists, two specialist clinical psychologists, and two sociologists.

Results

After the interviews, the reasons why individuals use social media platforms and post on the said platforms were laid out. It can be argued that the most prominent reason behind individuals' tendency to post while under risk or threat is isolation and inability to help.

The role played by government communication on the level of public fear in social media: An investigation into the Covid-19 crisis in Italy

In situations of crisis, governments must acknowledge that communication is a major weapon in their armoury, and can be used to convince the public to accept sometimes stringent measures, while preventing a worsening of the situation by curbing any spread of panic. Theoretically, during a pandemic, fear can be contained at reasonable levels by governments counterbalancing uncertainty with information. However, there is no empirical evidence on how the flow of information during a crisis can influence emotional states among the population. In this process, social media appears to be a valuable tool for governments to observe emotional response in a population. In the light of this and within the context of the Italian government's social media campaign #iorestoacasa ('I'm staying at home') launched during the Covid-19 crisis, the current study utilises text analytics to explore the relationship between government and press communication, and the level of fear expressed by citizens through more than 200 thousand #iorestoacasa tweets. The results highlight how the content of the messages evolved in the early part of the outbreak and during the social media campaign. They suggest that in Italy the discussion regarding the efforts made by the European Council to find common solutions for dealing with the emergency has prompted a positive influence on public mood. Conversely, messages about people's individual vulnerability and the associated sense of an external locus of control correlated positively with levels of fear. This study opens new ways to support government communication during a crisis by monitoring public emotional response through social media.

Information under lockdown: A content analysis of government communication strategies on Facebook during the COVID-19 outbreak

The aim of this study is to investigate how central government agencies used social media to communicate and disseminate information to the public during the Coronavirus outbreak. In addition, this study seeks to examine the characteristics of the messages, content, and engagement rates of the information which has been published by the four central government bodies responsible for the management of the emerging crisis in Israel. This article is based on content analysis to examine the work of four main government ministries on Facebook (Ministry of Health, Ministry of Defense, Ministry of Education and Ministry of Finance) throughout the first six months of the crisis from February to July 2020. Findings indicate that The Ministry of Health's posts yielded the highest engagement rates compared to the rest of the ministries. Also, we categorized the posts into four main categories: Policy, Advocacy & COVID-19 additional information, Restrictions, Guidelines & Recommendations. In terms of Sentiment analysis, posts containing restrictions have created the highest emotional reactions (positive and negative). Research findings can be deduced regarding modes of distribution in terms of messages, publication dates, and types of content to improve users' responses in terms of audience engagement and sentiment.

Effect of perceived risks, perceived benefits and regulatory events on users’ supervision intention towards e-hailing platforms: A mixed method

Research on platform governance has gained extensive scholarly interest. However, studies on user participation intention towards platform supervision remain underexplored. In this study, a mixed method approach, including qualitative and quantitative methods, is used to explore the factors influencing the supervision intention of e-hailing users. A preliminary interview study is conducted to determine what factors impact users’ supervision intention, and an SEM model is tested using 359 survey data to examine how perceived government regulation, perceived risks/benefits and regulatory events impact supervision intention. Results indicate that perceived government regulation reduces perceived risks and increases the perceived benefits from participation into supervision, perceived risks weakened users’ supervision intention, whereas perceived benefits stimulated it. Perceived risks and perceived benefits positively mediated the relationship between perceived government regulation and users’ supervision intention. Regulatory events have a negative moderating effect on the relationship between e-hailing users’ perceived risks (benefits) and supervision intention.

Understanding social media users' engagement intention toward emergency information: the role of experience and information usefulness in a reciprocity framework

Purpose

The aim of this study is to investigate how social media users' experience of seeking emergency information affects their engagement intention toward emergency information with a reciprocity framework integrated with information adoption model.

Design/methodology/approach

Drawing on reciprocity theory, indebtedness theory, and information adoption model, an integrative research model is developed. This study employs a questionnaire survey to collect data of 325 social media users in China. Structural equation modeling analyses are conducted to test the proposed theoretical model.

Findings

Social media users' experience of seeking emergency information has a strong effect on their perceived information usefulness and indebtedness, while perceived information usefulness further influences community norm, indebtedness, and engagement intention. The authors also found that perceived information usefulness mediates the relationships between experience of seeking emergency information and community norm/indebtedness.

Originality/value

This study offers a new perspective to explain social media users' engagement intention in the diffusion of emergency information. This study contributes to the literature by extending the theoretical framework of reciprocity and applying it to the context of emergency information diffusion. The findings of this study could benefit the practitioners who wish to leverage social media tools for emergency response purposes.

U.S. Election 2020: Intentions to Participate in Political Crowdfunding during COVID-19 Pandemic

Participation in the political process is the fundamental right and responsibility of a citizen. Online political participation has gained popularity as it is convenient and effective. Political crowdfunding helps political candidates and parties pledge funds, usually small, from a large population and seek support through marketing campaigns during elections. In November 2020, when there were presidential elections in the US and the world was facing a global pandemic from COVID-19, political crowdfunding was a helpful method to communicate the political agenda and seek funding. The study aims to examine the intentions of US citizens to participate in political crowdfunding amid the COVID-19 pandemic. The study will integrate two models—the theory of planned behavior and civic voluntarism model—to check intentions and, in addition, the influence of COVID-19. The data were collected from 529 respondents from the US before the elections. The data were analyzed through a partial least squared structural equation modeling technique with SmartPLS 3.2. The results suggested that political efficacy and online community engagement have a positive influence on the intention to participate in political crowdfunding. Further, all three factors of TPB have a significant positive influence on intention. The perceived threat variable of COVID-19 does impact the attitude towards political crowdfunding. The study will be helpful for crowdfunding platforms and political contenders to examine the factors that can help them to seek maximum funds from the public and, at the same time, examine the effectiveness of their political communications.

From warning messages to preparedness behavior: The role of risk perception and information interaction in the Covid-19 pandemic

During infectious disease outbreaks, early warning is crucial to prevent and control the further spread of the disease. While the different waves of the Covid-19 pandemic have demonstrated the need for continued compliance, little is known about the impact of warning messages and risk perception on individual behavior in public health emergencies. To address this gap, this paper uses data from the second wave of Covid-19 in China to analyse how warning information influences preventive behavior through four categories risk perception and information interaction. Drawing on the protective action decision model (PADM) and the social amplification of risk framework (SARF), risk warning information (content, channel, and type), risk perception (threat perception, hazard- and resource-related preparedness behavior perception and stakeholder perception), information interaction, and preparedness behavior intention are integrated into a comprehensive model. To test our model, we run a survey with 724 residents in Northern China. The results show that hazard-related preparedness behavior perception and stakeholder perception act as mediators between warning and preventive action. Stakeholder perception had much stronger mediating effects than the hazard-related attributes. In addition, information interaction is effective in increasing all categories risk perception, stimulating public response, while functioning as a mediator for warning. The risk warning information content, channel, and type are identified as key drivers of risk perception. The research found that information channel was more related to different risk perception than other characteristics. Overall, these associations in our model explain core mechanisms behind compliance and allow policy-makers to gain new insights into preventive risk communication in public health emergencies.

Engaging social media users with attitudinal messages during health crisis communication

To cope with the COVID-19 pandemic, various policy measures accompanied by health crisis communication were adopted in China to engage publics. In this study, we investigated how People's Daily communicated COVID-19 messages on Weibo. Drawing on the Appraisal Framework, we developed a three-stage mixed method approach to study 400 COVID-19 posts to identify the attitude resources employed and their association with public engagement. We found that attitudinal posts were more engaging than non-attitudinal posts. Judgment, both positive and negative, was positively associated with public engagement, whereas the use of positive Affect and Appreciation could be ineffective. These findings contribute to the understanding of how public engagement on social media can be enhanced through the use of attitudinal messages in health emergencies.

A multi-method analytical approach to predicting young adults' intention to invest in mHealth during the COVID-19 pandemic

Mobile-based health (mHealth) systems are proving to be a popular alternative to the traditional visits to healthcare providers. They can also be useful and effective in fighting the spread of infectious diseases, such as the COVID-19 pandemic. Even though young adults are the most prevalent mHealth user group, the relevant literature has overlooked their intention to invest in and use mHealth services. This study aims to investigate the predictors that influence young adults' intention to invest in mHealth (IINmH), particularly during the COVID-19 crisis, by designing a research methodology that incorporates both the health belief model (HBM) and the expectation-confirmation model (ECM). As an expansion of the integrated HBM-ECM model, this study proposes two additional predictors: mobile Internet speed and mobile Internet cost. A multi-method analytical approach, including partial least squares structural equation modelling (PLS-SEM), fuzzy-set qualitative comparative analysis (fsQCA), and machine learning (ML), was utilised together with a sample dataset of 558 respondents. The dataset-about young adults in Bangladesh with an experience of using mHealth-was obtained through a structured questionnaire to examine the complex causal relationships of the integrated model. The findings from PLS-SEM indicate that value-for-money, mobile Internet cost, health motivation, and confirmation of services all have a substantial impact on young adults' IINmH during the COVID-19 pandemic. At the same time, the fsQCA results indicate that a combination of predictors, instead of any individual predictor, had a significant impact on predicting IINmH. Among ML methods, the XGBoost classifier outperformed other classifiers in predicting the IINmH, which was then used to perform sensitivity analysis to determine the relevance of features. We expect this multi-method analytical approach to make a significant contribution to the mHealth domain as well as the broad information systems literature.

The moderating effects of entertainers on public engagement through government activities in social media during the COVID-19

Following the onset of COVID-19 pandemic, increasing the degree of public engagement is a crucial task for governments. This study investigated the moderating effects of entertainers on public engagement through government activities during COVID-19 pandemic. The government activities were publicized through the government's social media posts. The results showed a significant positive relationship between participation of entertainers and degree of public engagement through social media. Our findings indicated that inviting entertainers to participate could improve the effects of publicity and ease the emotional tension and anxiety among the public during a crisis. However, more attention should be paid to the choice of entertainers to maintain the legality and seriousness of government activities. These findings could help the government effectively communicate prevention policies and disseminate crisis information to the public, regardless of where they were physically located.

More collaboration, less seriousness: Investigating new strategies for promoting youth engagement in government-generated videos during the COVID-19 pandemic in China

Effectively engaging citizens during crises is critical for governments to disseminate timely information and help the public to adjust to the constantly changing conditions. In particular, promoting youth engagement not only enhances crisis awareness and resilience among the young generation, but also has a positive impact on youths' social participation and responsibility. With the increasing popularity of online video services, leveraging online videos to disseminate authoritative information has become a method widely adopted by government. To enhance youth awareness and engagement, two new video-based crisis communication strategies have been utilized on a popular youth-targeted video platform Bilibili in China: creating recreational videos such as animation and music videos, and collaborating with individual video-uploaders in video making. However, their impacts and results are largely unknown, which motivates our study. Guided by Entertainment Education (EE) and Collaborative Governance (CG), we report, to our best knowledge, the first systematic study on how recreational video category and government-citizen collaboration would influence youth engagement focusing on 3347 COVID-19-related government-generated videos on Bilibili. This study reveals that recreational videos successfully promote youth engagement including interaction, feedback and sharing. Collaboration with individual uploaders in video making also has a substantially positive impact on youth engagement. Through an in-depth qualitative content analysis of user-generated commentaries, we further unpacked the unique values (e.g., trust work for youth participation) as well as latent limitations (e.g., imbalanced topic distribution) of the two new strategies. We discuss how the findings enrich EE and CG theoretically, and provide practical implications to effective and engaging communication strategies during crises.

Dynamics of e‐Governance in post COVID era: India

India as a country, has made numerous efforts related to launch and adoption of e‐Governance initiatives, which has been introduced in various fields. However, except a few, most of such initiatives have not been able to deliver the desired results over the longer course of time, resulting in underutilization of public funds. Moreover, time and again it has been noted that e‐Governance initiatives adoption and success varies across geography, mainly on account of prevalence of diversity in India. Furthermore, post COVID, the importance of e‐Governance initiatives in the lives of citizens at large, has witnessed a paradigm shift both in applicability as well as acceptance. The enforcement of social distancing by Central as well as Local governments in the past few months has led to enhanced role of e‐Governance initiatives in delivering critical to common services/facilities to the citizens at large. As a result, this study has been conducted with an aim to identify the factors responsible for higher adoption of the e‐Governance services in India. The study also aims to analyze the impact of ongoing pandemic on the adoption of e‐Governance by including a separate construct related to health.

Engagement of Government Social Media on Facebook during the COVID-19 Pandemic in Macao

Government social media is widely used for providing updates to and engaging with the public in the COVID-19 pandemic. While Facebook is one of the popular social media used by governments, there is only a scant of research on this platform. This paper aims to understand how government social media should be used and how its engagement changes in prodromal, acute and chronic stages of the pandemic. We collected 1664 posts and 10,805 comments from the Facebook pages of the Macao government from 1 January to 31 October 2020. Using word frequency and content analysis, the results suggest that the engagement was relatively low at the beginning and then surged in the acute stage, with a decreasing trend in the chronic stage. Information about public health measures maintained their engagement in all stages, whereas the engagement of other information was dropping over time. Government social media can be used for increasing vigilance and awareness in the prodromal stage; disseminating information and increasing transparency in the acute stage; and focusing on mental health support and recovery policies in the chronic stage. Additionally, it can be a tool for controlling rumors, providing regular updates and fostering community cohesion in public health crises.

Digital Tracing during the COVID-19 Pandemic: User Appraisal, Emotion, and Continuance Intention

This study explores how people appraise the use of contact tracing apps during the novel coronavirus (COVID-19) pandemic in South Korea. Despite increasing attention paid to digital tracing for health disasters, few studies have empirically examined user appraisal, emotion, and their continuance intention to use contact tracing apps for disaster management during an infectious disease outbreak. A mixed-method approach combining qualitative and quantitative inquiries was employed. In the qualitative study, by conducting interviews with 25 people who have used mobile apps for contact tracing, the way users appraise contact tracing apps for COVID-19 was explored. In the quantitative study, using data collected from 506 users of the apps, the interplay among cognitive appraisal (threats and opportunities) and its association with user emotion, and continuance intention was examined. The findings indicate that once users experience loss emotions, such as anger, frustration, and disgust, they are not willing to continue using the apps. App designers should consider providing technological affordances that enable users to have a sense of control over the technology so that they do not experience loss emotions. Public policymakers should also consider developing measures that can balance public health and personal privacy.