at Google ScholarTitle data
Drasch, Benedict ; Huber, Johannes ; Panz, Sven ; Probst, Florian:
Detecting Online Firestorms in Social Media.
In:
Proceedings of the 36th International Conference on Information Systems (ICIS). -
Fort Worth, USA
,
2015
ISBN 978-0-9966831-1-1
Abstract in another language
As social media has increased the reach and speed of electronic word-of-mouth (eWOM), so it has intensified customers’ exposure to negative eWOM. Consequently, companies increasingly suffer from massive outbursts of negative eWOM, known as online firestorms. Because of their dynamics, it is nearly impossible to stop online firestorms if their emergence is not detected promptly. However, well-founded approaches that provide automated, real-time detection are missing. We design an Online Firestorm Detector that includes an algorithm inspired by epidemiological surveillance systems. Real-world data from a firestorm suffered by Coca-Cola is used to prove the utility and validity of the proposed approach. We show that online firestorms can be reliably detected shortly after the first piece of related negative eWOM has been generated, and that the number of false alarms is low. A comparison with competing artifacts shows that the Online Firestorm Detector is superior to approaches that could be alternatively used.
Further data
| Item Type: | Article in a book |
|---|---|
| Refereed: | Yes |
| Keywords: | Word-of-mouth; social media; online firestorm; information diffusion; design science |
| Institutions of the University: | Faculties > Faculty of Law, Business and Economics > Department of Business Administration Research Institutions Research Institutions > Affiliated Institutes Research Institutions > Affiliated Institutes > Fraunhofer Project Group Business and Information Systems Engineering Research Institutions > Affiliated Institutes > FIM Research Center Finance & Information Management Faculties Faculties > Faculty of Law, Business and Economics |
| Result of work at the UBT: | No |
| DDC Subjects: | 000 Computer Science, information, general works > 004 Computer science 300 Social sciences > 330 Economics |
| Date Deposited: | 25 Jan 2016 07:37 |
| Last Modified: | 14 Jun 2022 08:08 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/29911 |