Computational and Mathematical Organization Theory最新文献

Much research has focused on the role of the alt-right in pushing far-right narratives into mainstream discourse. In this work, we focus on the alt-right’s effects on extremist narratives themselves. From 2012 to 2017, we find a rise in alt-right, 4chan-like discourse styles across multiple communication platforms known for white supremacist extremism, such as Stormfront. This discourse style incorporates inflammatory insults, irreverent comments, and talk about memes and online “chan” culture itself. A network analysis of one far-right extremist platform suggests that central users adopt and spread this alt-right style. This analysis has implications for understanding influence and change in online white supremacist extremism, as well as the role of style in white supremacist communications. Warning: This paper contains examples of hateful and offensive language.

Belief-bias occurs when individuals’ prior beliefs impact their ability to judge the validity (i.e., structure) of an argument such that they are predisposed to accept conclusions consistent with their prior beliefs regardless of the argument’s validity. The present study uses a minimal explanation paradigm to evaluate how United States Military Academy cadets assess the validity of arguments surrounding the pull-out from Afghanistan presented by different sources of authority. Participants exhibited a significantly greater likelihood of rejecting an invalid argument with true facts compared to accepting a valid argument with false facts, with overconfidence scores implying they were unaware of this difficulty in reasoning. We also found that participants were were more critical of arguments about US capabilities coming from civilian sources. Results from the HEXACO personality assessment showed that task performance was positively correlated with perfectionism and inquisitiveness sub-scales, implying that those high in those measures were less likely to exhibit belief-bias. Even when factoring-in these traits, results revealed a small yet significant trend for participants to reject valid arguments from their peers compared with senior military and civilian counterparts. Overall, the present study shows a differential impact of belief-bias on true vs false facts, that this is influenced by the underlying source of the argument, and that personality traits mediate these effects.

Information about the vaccine is usually spread through heterogeneous networks in reality, where public opinion bursts out faster than in homogeneous networks. Considering the complexity of heterogeneous networks, we develop a network susceptible-forwarding-immune (NET-SFI) model to describe the patterns of information propagation in the actual social network. Classifying the states of nodes according to the number of users can contact in the social network, the NET-SFI model focuses on the network structure and user heterogeneity. We adopt a data-model drive method to conduct the model validation including two types of COVID-19 vaccine information from the Chinese Sina Microblog. Our parameter sensitivity analyses show the important significance of node degree in causing the outbreak of public opinion. Moreover, corresponding conclusions based on our analytic study are conducive to designing valid strategies for vaccine information dissemination.

Online harassment is a well-documented and studied problem on social media. Who does this harassing, how, and to what degree are important questions that can inform platform policies and automated controls as well as helping understand harassers more broadly. This study investigates users who were discovered because they created a post that harassed a women in power using misogynistic slurs. Do these tend to be isolated incidents, or do such users engage in higher rates of harassment more generally? Findings from Twitter, Parler, and Reddit suggest that this population uses offensive slurs at several times the rate of control groups. We break down these findings and discuss the implications for moderation, automation, user well-being, and platform success.

Employee retention is a problem for organizations of all sizes. Research has shown that transformational leaders improve retention and reduce turnover; however, there has been little research on the effects of transformational leadership on retention over time while also considering employees’ changing employability. We use agent-based modeling to demonstrate these changing relationships while considering the nature of modern organizations. Our model looks at the relationships between transformational leaders, individual employability, and retention. The model uses data from earlier research to define parameters for these variables, showing how workers and leaders interact and affect employability and retention and how these effects change over time.

Human emergency behaviour and psychological stress response in emergencies are important scientific issues in basic emergency management research. The analysis of the dynamic characteristics of large-scale human behaviour based on electronic footprint data provides a new method for quantitative research on this problem. Previous studies usually assumed that human behaviors were randomly distributed in time, but few studies have studied the psychological stress response of human groups under the influence of emergencies and carried out prediction methods through social media data. Based on the data from five emergencies and daily events in the Qzone, this paper explores the statistical characteristics of human communication behaviors such as time, space and social interaction. The research results reveal the psychological evolution of human groups when they encounter public security emergencies by analysing the causes of individual psychological stress responses in the group. We find that the time interval between people’s posting behaviour and interactive comment behaviour in mobile QQ space before and after an emergency can be approximately described by a power-law distribution. The time interval distribution of Posting and reply is an obvious heavy-tailed distribution. These behavioural characteristics are consistent with people’s psychological stress characteristics. Individual psychological stress responses gradually evolve into social-psychological responses with changes in behavioural characteristics. The greater the social-psychological stress response is, the more panic the public will be, which will cause the outbreak of group irrational behaviour. The research results are theoretically helpful in understanding the impact of emergencies on human communication behaviour patterns and reveal the psychological stress process of mass panic in large-scale emergencies.

The purpose of this study is to review existing research on organization management that applied agent-based modeling and simulation (ABMS). First, we systematically identified 133 relevant articles published between 1998 and 2022 using the Web of Science (WoS) and EBSCOhost database. Second, we analyzed the characteristics of ABMS reported in the 133 articles. The results illustrated that the focal articles made extensive use of ABMS as a means of theory development and the enhancement of transparency was demanded. Third, we used a bibliometric mapping approach to analyze the 133 articles visually. The results identified 36 key terms and four clusters: team behaviors under complex environments, organizational structure and design, knowledge management in organizations, and organizational decision-making. The analysis also showed which key terms are used as research fronts and which terms are emerging. Lastly, we suggest five promising research opportunities that should either be continued or be addressed in organization management.