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This study aims to elucidate the dynamics of social media discourse during global health events, specifically investigating how users across different platforms perceive, react to and engage with information concerning such crises.

A mixed-method approach was employed, combining both quantitative and qualitative data collection. Initially, thematic analysis was applied to a data set of social media posts across four major platforms over a 12-month period. This was followed by sentiment analysis to discern the predominant emotions embedded within these communications. Statistical tools were used to validate findings, ensuring robustness in the results.

The results showcased discernible thematic and emotional disparities across platforms. While some platforms leaned toward factual information dissemination, others were rife with user sentiments, anecdotes and personal experiences. Overall, a global sense of concern was evident, but the ways in which this concern manifested varied significantly between platforms.

The primary limitation is the potential non-representativeness of the sample, as only four major social media platforms were considered. Future studies might expand the scope to include emerging platforms or non-English language platforms. Additionally, the rapidly evolving nature of social media discourse implies that findings might be time-bound, necessitating periodic follow-up studies.

Understanding the nature of discourse on various platforms can guide health organizations, policymakers and communicators in tailoring their messages. Recognizing where factual information is required, versus where sentiment and personal stories resonate, can enhance the efficacy of public health communication strategies.

The study underscores the societal reliance on social media for information during crises. Recognizing the different ways in which communities engage with, and are influenced by, platform-specific discourse can help in fostering a more informed and empathetic society, better equipped to handle global challenges.

This research is among the first to offer a comprehensive, cross-platform analysis of social media discourse during a global health event. By comparing user engagement across platforms, it provides unique insights into the multifaceted nature of public sentiment and information dissemination during crises.

The present research aims to demonstrate the relationship between organizational empathy (OE) and organizational learning (OL), and the serial mediation effect of organizational identity (OI) and organizational helping behavior (OHB) in this relationship.

Data were collected from a total of 270 companies through the survey method. Then, validity and reliability tests were conducted. Next, Hayes' model 6 was used to test the serial mediator effect.

The authors found that (1) OE is positively related to OL, (2) OI mediates the relationship between OE and OL, (3) OHB mediates the relationship between OE and OL and (4) the relationship between OE and OL is serially mediated by OI and OHB.

Empathy is an important power in regulating interpersonal behavior and relationships. Organizational empathy is also an important criterion for organizations to achieve their goals. However, despite the importance emphasized in the literature, how organizational empathy influences other organizational outcomes is still a black box. For this purpose, the authors conducted this study to uncover the relationship between OE and OL. In addition, the serial mediator effect of OI and OHB is revealed in this relationship. Hence, we aimed to make a humble contribution to the literature. Although there are many studies on “individual empathy” in the literature, there is no study in which “organizational empathy” is measured empirically. The authors hope that this study will be useful for future research.