Description
In this document we describe a theoretical approach to modeling public emotional response cycles to crisis events. We also provide a preliminary theoretical approach to modeling crisis communication propagation that is counter intuitive to existing belief and literature regarding emotionally charged language and discussion artifact dispersion. The data set used to test these theories is contextualized by the OPM data breach of 2015 and consists of twitter data corresponding to the ensuing discussion following public notification that the breach had occurred. The resulting analysis reveals that an adapted Kübler-Ross model fits the aggregated public emotional response cycle and that emotionally charged language is negatively associated with messages the disperse more than average.
Recommended Citation
Bachura, Eric; Valecha, Rohit; Chen, Rui; and Rao, Raghav H., "Modeling Public Response to Data Breaches" (2017). AMCIS 2017 Proceedings. 43.
https://aisel.aisnet.org/amcis2017/InformationSystems/Presentations/43
Modeling Public Response to Data Breaches
In this document we describe a theoretical approach to modeling public emotional response cycles to crisis events. We also provide a preliminary theoretical approach to modeling crisis communication propagation that is counter intuitive to existing belief and literature regarding emotionally charged language and discussion artifact dispersion. The data set used to test these theories is contextualized by the OPM data breach of 2015 and consists of twitter data corresponding to the ensuing discussion following public notification that the breach had occurred. The resulting analysis reveals that an adapted Kübler-Ross model fits the aggregated public emotional response cycle and that emotionally charged language is negatively associated with messages the disperse more than average.