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The spread of fake news represents a serious threat to consumers, companies and society. Previous studies have linked emotional arousal to an increased propensity to spread information and a decrease in people’s ability to recognize fake news. However, the effect of an individual’s emotional state on fake news sharing remains unclear, particularly during periods of severe disruptions such as pandemics. This study aims to fill the gap in the literature by elucidating how heightened emotions affect fake news sharing behavior.

To validate the conceptual model, this study uses a quantitative approach. Data were collected from 212 online questionnaires and then analyzed using the structural equation modeling technique.

Results of this study show that positive emotions have indirect effects on fake news sharing behavior by allowing users to view the quality of information circulating on social media in a more positive light, and increasing their socialization behavior leading them to share fake news. Negative emotions indirectly impact fake news sharing by affecting users’ information overload and reinforcing prior beliefs, which in turn increases fake news sharing.

This study identifies several novel associations between emotions and fake news sharing behavior and offers a theoretical lens that can be used in future studies. It also provides several practical implications on the prevention mechanism that can counteract the dissemination of fake news.

This study investigates the impact of individuals’ emotional states on fake news sharing behavior, and establishes four user-centric antecedents to this sharing behavior. By focusing on individuals’ emotional state, cognitive reaction and behavioral response, it is among the first, to the best of the authors’ knowledge, to offer a multidimensional understanding of individuals’ interaction with news that circulates on social media.

During Covid-19 pandemic, Millennials, which are familiar with the Internet, may contribute in facing the pandemic by consistently sharing healthy food information. Thus, it is important to improve Millennials online healthy food information-sharing behaviour during the Covid-19 pandemic. This research aims to examine the simultaneous effects of e-health literacy, knowledge of the digital health communication media (DHCM) use, facilitating conditions, information quality and source credibility on Millennials' online healthy food information-sharing behaviour during the Covid-19 pandemic.

A survey was performed to collect the data. The respondents of the survey are 205 DHCM millennial users who lived in Tangerang Regency and Tangerang City, Indonesia. This research performed a multiple regression analysis to test the conceptual model and proposed hypotheses.

Millennials' online healthy food information-sharing behaviour during the Covid-19 pandemic was significantly affected by perceived threat of Covid-19, knowledge of the DHCM use and the facilitating conditions. However, it was not significantly affected by e-health literacy, information quality and source credibility.

This research employed a purposive sampling technique. This research also was conducted only in Tangerang Regency and Tangerang City, Indonesia. In order to test the stability of the research findings, future research should be conducted in other contexts.

In order to improve Millennials' online healthy food information-sharing behaviour during the Covid-19 pandemic, it was essential to educate Millennials on the importance of healthy food consumption during the Covid-19 pandemic and their relationships. It is also important to enrich Millennials' knowledge of reliable and trustworthy online health information sources, such as the DHCM, and the search method. Furthermore, the facilitating conditions of online healthy food information-sharing behaviour should be improved.

It is well known that online healthy food information-sharing behaviour is important during Covid-19 pandemic. However, there is lack of study that specifically focused on Millennials' online healthy food information-sharing behaviour during the Covid-19 pandemic. This paper is the first that develops and tests a model of Millennials' online healthy food information-sharing behaviour during the Covid-19 pandemic. The model can be used to understand the behaviour and develop intervention strategy.

Technology has eased access to information. During the ongoing COVID-19 pandemic, ease of access and transmission of information via social media has led to ambiguity, misinformation and uncertainty. This research studies the aforementioned behaviours of information sharing and verification related to COVID-19, in the context of social media.

Two studies have been carried out. Study 1, with Indian social media users, is a two-factor between-subjects experimental design that investigated the effect of message polarity (positive versus negative) and message type (news versus rumour) on the dissemination and verification behaviour of COVID-19-related messages. The study also investigated the mediation of perceived message importance and health anxiety. Study 2 is a replica study conducted with US users.

The study finding revealed significantly higher message sharing for news than rumour. Further, for the Indian users, message with positive polarity led to higher message sharing and message with negative polarity led to higher verification behaviour. On the contrary, for the US users, message with negative polarity led to higher message sharing and message with positive polarity led to higher verification behaviour. Finally, the study revealed message importance mediates the relationship of message type and message sharing behaviour for Indian and US users; however, health anxiety mediation was significant only for Indian users.

The findings offer important implications related to information regulation during a health crisis. Unverified information sharing is harmful during a pandemic. The study sheds light on this behaviour such that stakeholders get insights and better manage the information being disseminated.

The study investigates the behaviour of sharing and verification of social media messages between users containing health information (news and rumour) related to the ongoing COVID-19 pandemic.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-07-2020-0282

Sharing and disseminating debunking information are critical to correcting rumours and controlling disease when dealing with public health crises. This study investigates the factors that influence social media users' debunking information sharing behaviour from the perspective of persuasion. The authors examined the effects of argument adequacy, emotional polarity, and debunker's identity on debunking information sharing behaviour and investigated the moderating effects of rumour content and target.

The model was tested using 150 COVID-19-related rumours and 2,349 original debunking posts on Sina Weibo.

First, debunking information that contains adequate arguments is more likely to be reposted only when the uncertainty of the rumour content is high. Second, using neutral sentiment as a reference, debunking information containing negative sentiment is shared more often regardless of whether the government is the rumour target, and information containing positive sentiment is more likely to be shared only when the rumour target is the government. Finally, debunking information published by government-type accounts is reposted more often and is enhanced when the rumour target is the government.

The study provides a systematic framework for analysing the behaviour of sharing debunking information among social media users. Specifically, it expands the understanding of the factors that influence debunking information sharing behaviour by examining the effects of persuasive cues on debunking information sharing behaviour and the heterogeneity of these effects across various rumour contexts.

The study aims to investigate the role of information literacy competencies regarding the impact of personality factors on knowledge sharing behavior in information services.

A sequential mixed-methods approach was used as the research design. To construct the two less identified variables of knowledge sharing behavior and information literacy competencies in actual information services, the literature existed were searched and validated in a systematic review procedure. Two conceptual models including two initial questionnaires were developed, which were then confirmed by a set of 10 related experts through semi-structured interviews. For gathering data related to the variable personality factors, the Five-Factor Inventory was used as a widely recognized measure. The sample population of the quantitative section constituted of a set of 160 librarians working in the central libraries of the state universities located at Tehran, Iran. Data analysis was conducted through structural equation modeling using software SmartPLS.

The results showed that the personality factors had a positive and significant impact on information literacy competencies with a path coefficient of 0.48 and information literacy competencies skills had a positive and significant effect on the knowledge sharing behavior with a path coefficient of 0.47. However, with a path coefficient of 0.02, the personality factors had no direct effect on the knowledge sharing behavior while its indirect impact was then confirmed by the mediating role of information literacy competencies.

To achieve the desired knowledge sharing behavior, there should be concerns about the information literacy competencies of the librarians. Moreover, the knowledge sharing behavior of the librarians should be more taken into consideration concerning their personality factors.

Sharing project information is critical for the success of medical crowdfunding campaigns. However, few users share medical crowdfunding projects on their social networks, and the sharing behavior of medical crowdfunding projects on social networking sites has not been well studied. Therefore, this study explored the factors and potential mechanisms influencing users’ sharing behaviors on networking sites.

A research model was developed based on the attribution-affect model of helping and social capital theory. Data were collected using a longitudinal survey. Partial least squares structural equation modeling was used to analyze the collected data. We conducted post hoc analyses to validate the results of the quantitative analysis.

The analysis results verified the effects of perceived external attribution, perceived uncontrollable attributions, and perceived unstable attributions on sympathy and identified the effect of sympathy and social characteristics of medical crowdfunding users on sharing behavior.

This research provides a comprehensive theoretical understanding of users’ sharing behavior characteristics and provides implications for enhancing the efficiency of medical crowdfunding activities.

During the coronavirus disease 2019 (COVID-19) pandemic, public health risk communication has been a vital work. Students account for a large proportion of the population and are often highly mobile; thus, they face a high risk of contagion and spreading the disease. Therefore, risk communication to this group during the pandemic has been essential. This research examines the relationship between risk communication to students and their appropriate behaviors (compliance with COVID-19 preventive measures and COVID-19 information sharing).

This research used structural equation model (SEM) and generalized structural equation model (GSEM) to analyze the data collected from students during the COVID-19 pandemic.

The findings revealed that risk communication in mass media was positively associated with students' compliance with preventive measures and sharing pandemic-related information. Additionally, their compliance behavior was positively associated with their information-sharing behavior.

This research offers some implications regarding the containment of a highly-infectious virus, especially for the context when the risk of outbreak is high and an effective vaccine is not available, by focusing on risk communication and compliance and information-sharing behaviors.

This research is one of the early attempts to examine the risk communication to students, their compliance with preventive measures and their information-sharing behavior during a pandemic.

Since the advent of the internet, social networking sites (SNS) have grown rapidly in popularity. This paper aims to explore Generation Y's information seeking and sharing behavior with regard to information about SNS; it also investigates the impact of consumer characteristics and gender differences on information seeking and sharing behaviors, to help marketers and researchers gain better insight into Generation Y consumers and social media marketing.

A self-administered survey was conducted among Generation Y college students. Exploratory factor analysis, confirmatory factor analysis and Mann-Whitney U-tests were employed to address the research questions.

Generation Y'ers are heavy users of SNS. Consumer opinion leadership (COL) and consumer susceptibility to interpersonal influence (CSII) affect Generation Y's dining information seeking and sharing behavior on SNS. No gender differences emerged.

This research extends COL and CSII, from general consumer behavior to dining-related behavior, and offers insights into the information seeking and sharing behavior of Generation Y. In practical terms, it raises marketers' awareness of Generation Y consumers and highlights the importance of social media marketing. A limitation of this study is the sample size and generalizability of the results.

This study represents a first attempt to use COL and CSII to explain dining behavior and link these two consumer characteristics with social media marketing.

Drawing upon the knowledge sharing model, the purpose of this paper is to identify personal and environmental antecedents to information sharing on social networking sites (SNSs) and examines the interaction effects between the two factors.

Data were collected via online survey with college students. Hierarchical multiple regressions were performed to test hypotheses and examine research questions.

With regard to environmental factors, the more users perceive their audience to be a collection of weak ties, the more likely they are to share information on SNSs, independent of the size of their networks. Personal factors such as information self-efficacy, positive social outcome expectations, and sharing enjoyment feelings were found to be significant predictors of sharing activities. In addition, a significant interaction effect was found such that the effects of social outcome expectations on sharing activities on SNSs are manifested to a greater extent when users perceive their audience as weak ties rather than strong ties.

This study extends the knowledge sharing model literature by applying it to the SNS context and advances SNS research by taking into consideration both environmental factors and personal factors and their interactions.

Microblogging as one kind of social media application provides an important information sharing platform. Adaptive information sharing is the combination of adaptive information technologies (IT) use behavior and information sharing behavior and subsequently refers to adaptive use of IT oriented to information sharing. The purpose of this paper is to understand adaptive information sharing in the context of microblogging from the perspective of cognitive switching.

A research model was developed and survey data were collected. The partial least squares structural equation modeling was employed to verify the research model.

Adaptive information sharing is positively impacted by other people’s use, discrepancies and deliberate initiatives among which other people’s use is the key determinant. Meanwhile, task self-efficacy positively moderates the effect of other people’s use on adaptive information sharing.

Developers of microblogging should as far as possible create learning atmosphere and learning culture. With learning atmosphere and culture, more and more users could keep on learning from observing other people. Consequently, more and more users would be willing to try new features of microblogging to share information.

This study examines adaptive information sharing by extending adaptive IT use behavior from the levels of technology, system and feature to the information level, presenting a new lens for adaptive IT use and information sharing alike.