Search results

This study investigates how downward envy affects interpersonal conflict, workplace ostracism and displaced aggression in the mentoring context. It seeks to deepen our understanding of how these dynamics influence a mentor–protégé relationship.

Employing a three-wave research design, this study uses a sample of 176 participants in mentoring relationships to test our proposed moderated mediation model.

Downward envy can increase interpersonal conflict, workplace ostracism and displaced aggression. A mentor’s social comparison orientation moderates these effects by amplifying the negative impacts of downward envy.

These findings have practical implications for both mentors and protégés.

These findings have practical implications for both mentors and protégés.

This study contributes to the literature by focusing on downward envy within the mentoring context, yielding valuable insights to navigate mentoring experiences at work.

Social media platforms (SMPs) are pivotal in information dissemination and molding public opinion. Various platforms exhibit differences and characteristics. It is necessary to compare and analyze the roles played by different platforms in the evolution of public events.

This study develops a framework to evaluate the role of SMPs at different stages of public events. To calculate some of these indicators, the GPT-AP-TextRank topic model is constructed. The study further analyzes the correlation between indicators at different stages and SMP’s role and compares SMP’s different roles among the four stages.

The results reveal significant disparities in the role of different SMPs during public events. Weibo demonstrates notable performance during the outbreak, spread and recession stages of the event, exhibiting a strong influence on public event evolution. Bilibili, Douban, Zhihu and Baidu Tieba show relatively ordinary roles. In addition, compared to the spread stage, SMPs exhibit a stronger ability to influence event redirection in the initial stage, which is different from the original assumption of the study.

The findings expose the powerful roles of SMPs in event evolution, providing valuable insights for enhancing public event governance.

This study proposes an evaluation method for SMPs’ role and introduces a novel GPT-AP-TextRank topic generation model for the indicator calculation.