@inproceedings{1f1624394b124374bffb13166b3af628,
title = "Modeling public response to data breaches",
abstract = "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 K{\"u}bler-Ross model fits the aggregated public emotional response cycle and that emotionally charged language is negatively associated with messages the disperse more than average.",
keywords = "Crisis dialogue, Data breach, Emotional response, Grief, OPM, Sentiment analysis, Text analysis",
author = "Eric Bachura and Rohit Valecha and Rui Chen and Rao, \{H. Raghav\}",
note = "Publisher Copyright: {\textcopyright} 2017 AIS/ICIS Administrative Office. All Rights Reserved.; America�s Conference on Information Systems: A Tradition of Innovation, AMCIS 2017 ; Conference date: 10-08-2017 Through 12-08-2017",
year = "2017",
language = "English",
series = "AMCIS 2017 - America's Conference on Information Systems: A Tradition of Innovation",
publisher = "Americas Conference on Information Systems",
booktitle = "AMCIS 2017 - America's Conference on Information Systems",
}