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This study investigates the frequency and specificity of health-related issues discussed during the East Java Indonesia Gubernatorial Election Campaign 2018.

The research utilized a mixed-methods approach, combining topic modeling and qualitative thematic analysis, to analyze 4,023 online news articles from March to June 2018. From the data sources obtained in terms of time frame, this research can be categorized as a retrospective study because it examines origins from events that have already occurred.

The study found that health issues accounted for only 6% of all gubernatorial election news in each selected online media portal. The health issues identified were categorised into eight groups: health financing and facilities, health workforce, malnutrition and stunting, leprosy, cigarettes and tobacco, healthy lifestyles, pregnancy and breastfeeding, and disability. The study also reveals a need for increased attention to health-related issues in political campaigns and media. By focusing on the health-related issues raised during the campaign, the study provides valuable insights into the gaps and priorities in addressing the health needs of the East Java population. The research framework used in this study offers a valuable approach for analyzing online data sources using qualitative analysis capacity. The study can improve health policies and outcomes in the local election campaign by raising awareness of health issues and promoting informed decision-making among voters.

This research limitation is a local political campaign case in Indonesia. The research indicates that health issues receive limited coverage during election campaigns, suggesting a lack of emphasis on health as a critical issue among East Java's electorate.

The study can improve health policies and outcomes in the local election campaign by raising awareness of health issues and promoting informed decision-making among voters.

This study aims to explore the reasons why some Chinese private entrepreneurs are reluctant to make charitable donations, with a focus on the perspective of “original sin” suspicion. The objective of this paper is to examine the challenges faced by these entrepreneurs, especially those suspected of “original sin,” when making charitable donations, and to provide recommendations for addressing these challenges.

Using data from the Chinese Private Enterprises Survey Database for the years 2008, 2010, 2012 and 2014, this study used ordinary least squares regression to examine the relationship between “original sin” suspicion and charitable donations from private enterprises.

This study examined the impact of “original sin” suspicion on charitable donations and found that it significantly reduces the donations of privatized enterprises. The negative impact of “original sin” suspicion on charitable donations is especially pronounced in small and medium-sized enterprises (SMEs), as well as those that have experienced changes in local leadership.

While previous research focused on the motivations of private enterprises that donated, they failed to identify which types of enterprises were reluctant to donate and why. By focusing on the “original sin” suspicion surrounding entrepreneurs in privatized enterprises and the political costs they face, this study sheds light on the challenges they encounter in charitable donations and explains why privatized enterprises, especially SMEs, are unwilling to make charitable donations.

Social media allow for observing different aspects of human behaviour, in particular, those that can be evaluated from explicit user expressions. Based on a data set of posts with user opinions collected from social media, this paper aims to show an insight into how the readers of different news portals react to online content. The focus is on users’ emotions about the content, so the findings of the analysis provide a further understanding of how marketers should structure and deliver communication content such that it promotes positive engagement behaviour.

More than 5.5 million user comments to posted messages from 15 worldwide popular news portals were collected and analysed, where each post was evaluated based on a set of variables that represent either structural (e.g. embedded in intra- or inter-message structure) or behavioural (e.g. exhibiting a certain behavioural pattern that appeared in response to a posted message) component of expressions. The conclusions are based on a set of regression models and exploratory factor analysis.

The findings show and theorise the influence of social media content on emotional user engagement. This provides a more comprehensive understanding of the engagement attributed to social media content and, consequently, could be a better predictor of future behaviour.

This paper provides original data analysis of user comments and emotional reactions that appeared on social media news websites in 2018.

The insidious proliferation of online misinformation represents a significant societal problem. With a wealth of research dedicated to the topic, it is still unclear what determines fake news sharing. This paper comparatively examines fake and accurate news sharing in a novel experimental setting that manipulates news about terrorism.

The authors follow an extended version of the uses-and-gratification framework for news sharing, complemented by variables commonly employed in fake news rebuttal studies.

Logistic regression and classification trees revealed worry about the topic, media literacy, information-seeking and conservatism as significant predictors of willingness to share news online. No significant association was found for general analytical thinking, journalism skepticism, conspiracy ideation, uses-and-gratification motives or pass-time coping strategies.

The current results broaden and expand the literature examining beliefs in and sharing of misinformation, highlighting the role of media literacy in protecting the public against the spread of fake news.

This is, to the authors’ knowledge, the first study to integrate a breadth of theoretically and empirically driven predictors of fake news sharing within a single experimental framework.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-12-2022-0693

This study aims to contribute to strategic crisis communication research by exploring international media representations of third sector crises and crisis response; expanding the range of crisis types beyond transgressions; and developing a framework that integrates framing and crisis communication theory.

Quantitative content analysis was applied to identify patterns in crisis reporting of 18 news media outlets in Canada, Germany, India, Switzerland, UK and US. Using an inductive framing approach, crisis coverage of nonprofit organizations (NPOs) and intergovernmental organizations (IGOs) between 2015 and 2018 was analyzed across a wide range of crises, including but not limited to prominent cases such as Oxfam, Kids Company, or the Islamic Research Foundation.

The news media in six countries report more internal crises in the third sector than external crises. The most frequent crisis types were fraud and corruption, sexual violence/personal exploitation and attacks on organizations. Exploratory factor analysis revealed three components of crisis response strategies quoted in the media, conditional rebuild, defensive and justified denial strategies. Causal attributions and conditional rebuild strategies significantly influenced media evaluations of organizational crisis response. Three frames of third sector crises were detected; the critique, the damage and the victim frame. These frames emphasize different crisis types, causes, crisis response strategies and evaluations of crisis response.

The study reveals the particularities of crises and crisis communication in the third sector and identifies factors that influence mediated portrayals of crises and crisis response strategies of nonprofit organizations (NPOs) from an international comparative perspective. The findings have relevant implications for crisis communication theory and practice.

Social movements are made up of organized groups and individuals working together to accomplish shared objectives. Under what circumstances do active groups build and break their coalitions? Five conditions have been identified in the literature as influencing coalition formation: common identity, resources, organizational structure, historical connection, and institutional setting. Whereas coalition dynamics within a movement wave are best understood in terms of institutional opportunities and threats, further research is needed to determine how and to what extent these contextual elements influence coalitions. This chapter examines how threats posed by indiscriminate and selective repression affect the shape and structure of interorganizational coalitions during the 2019 Anti-Extradition Law Amendment Bill (Anti-ELAB) protests in Hong Kong. The analysis relies on an original political event dataset and an organization-event network dataset. These datasets were produced utilizing syntactic event coding techniques based on Telegram posts, which Hong Kong protesters used to distribute information, plan future actions, and crowdsource news. Furthermore, Telegram provides detailed information about state activities, event-level coalitions, and violent groups, which is difficult to access from other sources. This study investigates the coalition networks across the movement's four stages, each of which was marked by a particular type and degree of repression. The findings indicate that indiscriminate and selective repression have varied effects on coalition networks. A wide coalition disintegrates as a result of indiscriminate repression. Selective repression, however, leads to the formation of coalitions around activist groups targeted by repression.