Corporate Scandal Spillovers: An Empirical Study of the Dieselgate Using Twitter Data

2019 ◽  
Author(s):  
Julien Jourdan ◽  
Ju Qiu ◽  
Svitlana Galeshchuk
Keyword(s):  
Empirical Study ◽  
Corporate Scandal ◽  
Twitter Data

Conflict resolution under the COVID-19 pandemic

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jose Roberto Balmori de la Miyar ◽  
Lauren Hoehn-Velasco ◽  
Adan Silverio-Murillo
Keyword(s):  
Conflict Resolution ◽  
Empirical Study ◽  
Design Methodology ◽  
Difference In Difference ◽  
Middle Income ◽  
Content Type ◽  
Twitter Data ◽  
Conflict Resolution Strategies ◽  
Resolution Strategies

Purpose This paper aims to analyze conflict resolution strategies among individuals who encountered disputes with family, neighbors, workmates, businesses, strangers, government authorities or other members in their communities during the COVID-19 pandemic. Design/methodology/approach Applying a difference-in-difference approach by sex, the authors use a representative panel of adults living in 82 cities from across Mexico to measure changes in antisocial strategies (violence) and prosocial strategies (non-confrontational methods and dialogue) to resolve disputes. Findings During the COVID-19 pandemic, men reduced their use of violence by 19.6% while women did so by 17.4%. There was a parallel rise in non-confrontational strategies used to solve conflicts equal to 73.6% for men and 62% for women. The use of dialogue as a tool for resolving disputes increased by more in cities that banned the sale of alcohol. Alternative Twitter data corroborates the main findings, suggesting that individuals are becoming more prosocial during the pandemic. Originality/value To the knowledge, this is the first empirical study to analyze changes in strategies for conflict resolution as a consequence of the COVID-19 pandemic. This paper contributes to the literature by demonstrating how individuals adapt their dispute strategies under extraordinary circumstances such as a pandemic, with a focus on a middle-income setting.

scholarly journals Automatic Classification of Sexism in Social Networks: An Empirical Study on Twitter Data

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 219563-219576
Author(s):  
Francisco Rodriguez-Sanchez ◽  
Jorge Carrillo-de-Albornoz ◽  
Laura Plaza
Keyword(s):  
Social Networks ◽  
Empirical Study ◽  
Automatic Classification ◽  
Twitter Data

Individuals without jobs: An empirical study of job-seeking behavior and reemployment.

1996 ◽  
Vol 81 (1) ◽  
pp. 76-87 ◽  
Author(s):  
Connie R. Wanberg ◽  
John D. Watt ◽  
Deborah J. Rumsey
Keyword(s):  
Empirical Study ◽  
Job Seeking ◽  
Seeking Behavior
Sign in / Sign up

Export Citation Format

Share Document