Modern technologies, especially social networks, contribute to the rapid evolution and spread of fake news. Although the creation of fake news is a serious issue, it is the believability of fake news and subsequent actions that produce negative outcomes that can be harmful to individuals and society. Prior research has focused primarily on the role of confirmation bias in explaining the believability of fake news, but other biases are likely. In this research, we use theories of truth and a taxonomy of 10 cognitive biases to conduct an exploratory, qualitative survey of social media users. Five cognitive biases (herd, framing, overconfidence, confirmation, and anchoring) emerge as the most influential. We then propose a Cognitive Bias Mitigation Model of methods that could reduce the believability of fake news. The mitigation methods are grouped according to three themes as they relate to the five biases.

Washtrading is a serious issue prevailing in nonfungible token (NFT) markets. Most current attempts to identify washtrading incidents use graph methods on transaction graphs to identify cyclical patterns. However, the intensive computational requirements hinder the practical applicability of the methods, and the single-level identification limits our view of the overall scope of the issue. In this article, we discuss the unique challenges of identifying washtrading scenarios in NFT markets and propose a solution that finds closed cycles in transaction graphs to identify potential washtrading cases at four different levels. Our identification method provides a measure of washtrading prevalence in the Nifty Gateway (NG) NFT market with approaches for evaluation that relay a measure of reliability that can be applied in other NFT markets. Acknowledging the newness of washtrading issues in NFT markets, we hope that the current study opens doors for new attempts to further investigate the problem and provide efficient and effective solutions to combat the issue.

The success of social networking sites relies on members’ continuous use. We replicate a study evaluating the relationship of continued-use intention to the success of social networking sites to determine whether the results obtained with a US sample can be generalized to the South Korean context. Using two culturally distinct samples, we demonstrate limitations to the generalizability of the original study’s findings and important constructs influencing continued-use intention across cultural boundaries.

Intentions of continued technology use are often viewed as a stable construct assuming little-to-no variance across temporal distance. However, psychological research and declining social network memberships suggest this assumption may not be correct. We use latent-curve modeling to examine near- versus distant-future intentions to use information communication technologies. Our findings suggest that continued-use models that include the psychological construct of temporal distance fit the model better than those that assume a simpler view of time.

Social networking site (SNS) use decisions have led to major economic and social transformations worldwide. While many organizations seek to use SNSs from a strategic perspective to reach their customer, it is important to understand what makes SNSs successful in order to use them for competitive purposes. The current research evaluates the influence of the social capital theory on SNS success measures. A model was developed and empirically tested using two data samples to ensure valid and reliable results for success of SNSs. The results display the importance of social capital in SNS success followed by practitioner and academic implications.

Information sharing in social networking sites (SNSs) provides users the opportunity to maintain relationships and express themselves. However, users share information with a heterogeneous audience with varied expectations. As a result, various social spheres may influence the information individuals share or their decision to share at all. The current research describes dimensions of information in terms of horizontal and vertical information sharing. Previous research has demonstrated the salience of social spheres with conflicting norms for SNS users. We build on previous research by exploring the effects of social spheres on the depth of information shared by SNS users. Students from a university in the USA and South Korea were interviewed to understand their perceptions of information sharing and the influence social spheres have on the depth of information they provide. We found that conflicting social spheres influence the depth of information provided when a user posts to their SNS and that impression management plays a key role.