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This research exclusively focuses on China’s elderly Internet users given how severe a threat disinformation has become for this particular population group as social media platforms thrive and the number of elderly netizens grows in China. The purpose of this study is to explore the mechanism of how elderly social media users’ intention to identify false information is influenced helps supplement the knowledge system of false information governance and provides a basis for correction practices.

This study focuses on the digital literacy of elderly social media users and builds a theoretical model of their intention to identify false information based on the theory of planned behaviour. It introduces two variables – namely, risk perception and self-efficacy – and clarifies the relationships between the variables. Questionnaires were distributed both online and offline, with a total of 468 collected. A structural equation model was built for empirical analysis.

The results show that digital literacy positively influences risk perception, self-efficacy, subjective norms and perceived behavioural control. Risk perception positively influences subjective norms, perceived behavioural control and the attitude towards the identification of false information. Self-efficacy positively influences perceived behavioural control but does not significantly impact the intention to identify. Subjective norms positively influence the attitude towards identification and the intention to identify. Perceived behavioural control positively influences the attitude towards identification but does not significantly impact the intention to identify. The attitude towards identification positively influences the intention to identify.

Based on relevant theories and the results of the empirical analysis, this study provides suggestions for false information governance from the perspectives of social media platform collaboration and elderly social media users.

With the rising concerns of compulsive use of social media, it is important to understand why users develop such unplanned and irrational behaviors. Leveraging the uses and gratification theory, the authors aim to explore the determinants of compulsive use of social media from the dual perspectives of individual needs (need to belong (NTB) and need for uniqueness) and peer-related factors (referent network size and perceived peer activeness). Due to the importance of self-construal in cognitive deliberation on peer influences, the moderating effects of self-construal were taken into consideration.

The authors empirically test their model by conducting an online survey with 459 WeChat users.

The results show that compulsive use of social media is predicated by both individual needs and influence from peers. Moreover, peer influence could be attenuated when individuals develop a high degree of independent self-construal.

The authors' study contributes to the research of compulsive behavior in the context of social media use by incorporating the dual effects of individual needs and social influence. The authors also offer managerial insights on eradicating the formation of compulsive behaviors.

The authors examine the dual effects of individual needs and peer influence in predicting compulsive use of social media and the moderating role of self-construal, which have been rarely investigated in this context.

The purpose of this paper is to explore factors influencing social media usage effectiveness of publishing-related entities and discuss the differences between publishing-related individuals and organizations in their usage of social media and the differences between commercial organizations and public service organizations (such as libraries).

This paper studied 546 publishing-related entities’ accounts on the leading Chinese social media and built a theoretical model for the usage of social media by publishing-related entities. Furthermore, it examined the influencing factors from two aspects: power of influence of an entity (entity influence) and the relational interaction of a publishing-related entity with its audience (interactive relationship).

The study found that for publishing-related individual users of social media, entity influence has a greater positive effect on the effectiveness of social media usage than on the effect of interactive relationship. For publishing-related commercial organizations, the entity influence and interactive relationship have equal impacts on the effectiveness of social media usage. It is also found that interactive relationship has a stronger positive effect on the usage effectiveness of social media, especially for publishing-related public service organizations.

This research fills the gap in the research of comparative analysis in the understanding of social media usage by individuals and organizations related to publishing activities. Moreover, it has tried to propose a theoretical model that can help promote the effectiveness of social media usages by various publishing-related entities and their business strategies.

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.

The purpose of this paper is to reveal the influence of social media in the development of brand sacralization in young consumers in emerging Asian market. Brand sacralization is the phenomenon where consumers (especially young) become an adherent of brands and consider brands as sacred entities. The paper specifically explores the influence of social media interaction and social media usability on brand sacralization and consequently its influence on online purchase intention (PI) and brand loyalty.

Perceptual responses were gathered from 232 undergraduate and postgraduate students (age: 17-27 years) studying in an Indian private university and is subsequently analyzed using structural equation modeling. The young population is chosen as the target sample as they possess majority stake in final product purchase decision nowadays and also contribute as a dominant consumer category in online market places.

The researcher found a strong positive influence of social media interaction and social media usability on brand sacralization. Further, brand sacralization is found to have a positive and significant influence on online PI and brand loyalty of young consumers. However, social media interaction does not contribute significantly to usability of social media. The researcher has also found a significant influence of brand loyalty on online PI for these young shoppers.

The study is the foremost to investigate the influence of social media in developing brand sacralization and its influence on online PI and brand loyalty. Further the study is the first to develop a measurement instrument for brand sacralization. The study is the foremost in developing measures for social media interaction and social media usability.

The present study aims to examine how business-to-business (B2B) marketers can influence content creation in social media. Social media tools are becoming an interesting component of B2B marketing because of the roles of personal relationships and interactions in these markets. However, research has not approached social media content creation from a B2B marketing perspective.

Social media tools are becoming an interesting component of B2B marketing because of the roles of personal relationships and interactions in these markets. However, research has not approached social media content creation from a B2B marketing perspective. The present study examines how B2B marketers can influence content creation in social media.

The paper proposes that B2B firms engaging in social media as part of their marketing efforts should carefully consider the roles and activities of various users, which are directed to and by different internal and external users. B2B companies can influence content creation in social media directly by adding new content, participating in discussions and removing content through corporate user accounts and controlling employee social media behavior or indirectly by training employees to create desired content and performing marketing activities that influence other users to create content that is favorable for the company.

The study contributes to the theoretical discussion over B2B marketing communication and the role of social media in it.

The mounting health misinformation on social media triggers heated discussions about how to address it. Anchored by the influence of presumed influence (IPI) model, this study investigates the underlying process of intentions to combat health misinformation. Specifically, we analyzed how presumed exposure of others and presumed influence on others affect intentions to practice pre-emptive and reactive misinformation countering strategies.

Covariance-based structural equation modeling based on survey data from 690 Chinese participants was performed using the “lavaan” package in R to examine the proposed mechanism.

Personal attention to health information on social media is positively associated with presumed others’ attention to the same information, which, in turn, is related to an increased perception of health misinformation’s influence on others. The presumed influence is further positively tied to two pre-emptive countermeasures (i.e. support for media literacy interventions and institutional verification intention) and one reactive countermeasure (i.e. misinformation correction intention). However, the relationship between presumed influence and support for governmental restrictions, as another reactive countering method, is not significant.

This study supplements the misinformation countering literature by examining IPI’s tenability in explaining why individuals engage in combating misinformation. Both pre-emptive and reactive strategies were considered, enabling a panoramic view of the motivators of misinformation countering compared to previous studies. Our findings also inform the necessity of adopting a context-specific perspective and crafting other-oriented messages to motivate users’ initiative in implementing corrective actions.

While there has been a growing call for insights on algorithms given their impact on what people encounter on social media, it remains unknown how enhanced algorithmic knowledge serves as a countermeasure to problematic information flow. To fill this gap, this study aims to investigate how algorithmic knowledge predicts people's attitudes and behaviors regarding misinformation through the lens of the third-person effect.

Four national surveys in the USA (N = 1,415), the UK (N = 1,435), South Korea (N = 1,798) and Mexico (N = 784) were conducted between April and September 2021. The survey questionnaire measured algorithmic knowledge, perceived influence of misinformation on self and others, intention to take corrective actions, support for government regulation and content moderation. Collected data were analyzed using multigroup SEM.

Results indicate that algorithmic knowledge was associated with presumed influence of misinformation on self and others to different degrees. Presumed media influence on self was a strong predictor of intention to take actions to correct misinformation, while presumed media influence on others was a strong predictor of support for government-led platform regulation and platform-led content moderation. There were nuanced but noteworthy differences in the link between presumed media influence and behavioral responses across the four countries studied.

These findings are relevant for grasping the role of algorithmic knowledge in countering rampant misinformation on social media, as well as for expanding US-centered extant literature by elucidating the distinctive views regarding social media algorithms and misinformation in four countries.

The study aims to look at the types of social media participants through user-generated content (UGC) and how this leads to brand engagement in a fashion retail context. In doing so, it explores the effects of social context of brand-related content on other social media users, which promotes socially influenced consumer brand engagement (SICBE) in social media settings.

The study postulates the existence of social realities as consistent with social constructivism, with multiple realities of social influence outlined on the basis of ontological relativism. To fulfil the proposed research objectives, research data were gathered from professional and social participants based on specific inclusion criteria, purposive sampling technique and a semi-structured interview method.

Findings highlighted various types of UGC participants with differing objectives in their use of UGC; these participant types are passive, creators, critics and collectors/consumers. The study uncovered many social context that can increase the effectiveness of UGC. The social context is explored through social trust, Fashion UGC expertise and relevance. These UGC participants and social context can foster SICBE in a fashion retail context.

This study proposes a holistic framework which highlighted the role of UGC participants and social context can foster SICBE in a fashion retail context.

This paper aims to explore the factors that influence Generation Y’s positive or negative electronic word-of-mouth (eWOM) behavior via social media and mobile technology in the foodservice sector. Three types of dining experiences were examined: positive and negative customer experiences and negative customer service followed by a satisfactory recovery package.

A survey was adopted to test the factors posited to influence Generation Y consumers in these service contexts. Participants were recruited through Amazon Mechanical Turk , and multi-group structural equation modeling was performed to analyze the data.

Active use of social media and peer influence had a sweeping influence on Generation Y’s intentions to engage in eWOM about their service experiences. Technological sophistication with mobile technology influenced Generation Y to spread positive or negative service experiences, rather than satisfactory recovery experiences. Family influence had a mixed influence on Generation Y subgroups (21-24 years old vs 25-35 years old) to engage in eWOM about their satisfactory or poor service experiences. In satisfactory recovery experiences, family influence showed no significant influence on Generation Y’s eWOM behaviors.

This study enriches online reviews and eWOM marketing theories, adds to service failure and recovery literature and enhances understanding of consumer behavior expressed by Generation Y through the empirical investigation of Generation Y consumers’ behavioral motivations to engage in eWOM through social media and mobile technology.

Engaging Generation Y consumers with social media campaigns and mobile technology development is not merely sufficient in eWOM marketing strategies. Instead, it is essential to create integrative peer communities to motivate Generation Y consumers to engage in eWOM marketing. Marketers need to pay attention to the mixed effects of family influences on the eWOM behaviors of subgroups of Generation Y in positive or negative service experiences.

Given the scarcity of consumer behavior research into Generation Y as an emerging market segment, this paper makes an incremental contribution by developing and validating a model of factors that influence Generation Y consumers’ eWOM intentions through social networking and mobile technologies in three major service contexts: positive, negative and recovery following a service failure.