Purpose: In social media, crisis information susceptible of generating different emotions could be spread at exponential pace via multilevel super-spreaders. This study aims to interpret the multi-level emotion propagation in natural disaster events by analyzing information diffusion capacity and emotional guiding ability of super-spreaders in different levels of hierarchy.Design/methodology/approach: We collected 47,042 original microblogs and 120,697 forwarding data on Weibo about the “7.20 Henan Rainstorm” event for empirical analysis. Emotion analysis and emotion network analysis were used to screen emotional information and identify super-spreaders. The number of followers is considered as the basis for classifying super-spreaders into five levels.Findings: Official media and ordinary users can become the super-spreaders with different advantages, creating a new emotion propagation environment. The number of followers becomes a valid basis for classifying the hierarchy levels of super-spreaders. The higher the level of users, the easier they are to become super-spreaders. And there is a strong correlation between the hierarchy level of super-spreaders and their role in emotion propagation.Originality/value: This study has important significance for understanding the mode of social emotion propagation and making decisions in maintaining social harmony.Peer review: The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-03-2024-0192.

We publish a Chinese Resume Corpus for researches of information extraction. The corpus contains 178 thousand resume documents and over 33 million words. The resume documents with unstructured form contain many types of common information like name, gender, birthday, education, work experience, and so forth. We evaluate this corpus by using four types of mainstream neural network models for demonstrating the potential of our corpus to promote the development of information extraction research.

The long cycle and cross-region evolution of the public health emergency have caused sharp turbulence in the society. Especially, the multi-stage and multi-channel information spreading triggered by the public health emergency has further aggravated the social panic, and even caused a chain reaction to cause greater chaos. In this paper, we extend the information spreading to simplicial complexes, and analyze the effect of the spatiotemporal evolution of public health emergency on individuals’ behaviors at each stage by taking 2-simplex as an example, firstly. Then the multi-stage information spreading dynamics model is constructed and the basic reproduction number is estimated. What’s more, empirical analysis and simulation are carried out to verify the effectiveness and analyze the dynamics of the model. The results show that the strength effect of 2-simplex interactions would expand information’s maximum impact, and enlarge the spreading scale. Besides, the information’s impact and spreading scale at the first stage are positively correlated with epidemic’s initial impact. The information could spread rapidly or even rebound and produce new peaks when the public health emergency getting worsen. Especially, the rebound speed, peak and scale are negatively correlated with the initial impact of the public health emergency with epidemic local worsening. Moreover, the greater and the earlier of local and spatial deterioration, the greater the effect and the wider the information spreading scale. Furthermore, with the public health emergency in different regions getting worse or better in succession, the information’s maximum impact and the spreading scale would be also enlarged. The results are useful to understand better the effect of public health emergency’s spatiotemporal evolution on information spreading and suggest a promising way to weaken the negative effect of relevant information.

In the age of social media, rumor dissemination brings serious negative impacts to society. It is important to explore the dissemination mechanism and management strategies to control rumor dissemination and reduce negative impacts. Considering the effect of reverse‐conformity ambivalent psychology on the rumor dissemination process, a novel dynamic model incorporating the dual psychology effects is constructed. Then, we perform the calculation of basic reproduction number and stability. Besides, we conduct model parameter fitting and compare with other models to verify the validity of the model. Furthermore, we explore the rumor dissemination law through numerical simulation. The results show that the increase of reverse psychology and refute‐exposed individuals’ internal dissemination preferences with conformity psychology could weaken the scope and speed of rumor information dissemination and strengthen that of rumor‐refuting information dissemination. The increase of rumor‐exposed individuals’ internal dissemination preferences with conformity psychology would bring the opposite result. The government should actively share knowledge, cultivate individuals’ awareness of rumor‐refuting, and respond promptly against rumor information in a timely manner. The results are useful to understand better the effect of reverse‐conformity ambivalent psychology on rumor dissemination and suggest a promising way to weaken the negative impacts of rumor.