Developing a social media firestorm scale: from conceptualization to AI-assisted validation

Approved

Classifications

MinEdu publication type
A1 Journal article (peer-reviewed)
Definition
Article
Target group
Scientific
Peer reviewed
Peer-reviewed
Article type
Journal article
Host publication type
Journal

Authors of the publication

Number of authors
4
Authors
Nuortimo, Kalle; Harkonen, Janne; Breznik, Kristijan; Hannes, Rajeeka

Publication channel information

Title of journal/series
Journal of marketing analytics
ISSN (print)
2050-3318
ISSN (electronic)
2050-3326
ISSN (linking)
2050-3318
Publisher
Springer
Publication forum ID
81979
Publication forum level
1
Internationality
Yes

Detailed publication information

Publication year
2025
Reporting year
2025
Journal/series volume number
[Epub ahead of print 06 Oct 2025]
Page numbers
1-17
DOI
10.1057/s41270-025-00439-x
Language of publication
English

Co-publication information

International co-publication
Yes
Co-publication with a company
No

Availability

Link to self-archived version
https://urn.fi/URN:NBN:fi:oulu-202510136281

Classification and additional information

MinEdu field of science classification
113 Computer and information sciences, 512 Business and management
Keywords
Social media firestorm; Digital hurricane; Reputational damage; Social media; Media sentiment; Scandal; Predictive tool; AI based scale validation

Funding information

Funding information in the publication
Open Access funding provided by University of Turku (including Turku University Central Hospital).

Research data information

Research data information in the publication
The data underlying this study were obtained from M-Brain under a commercial license and cannot be publicly shared. Aggregated results and methodological documentation are available within the article.

Source database ID

WoS ID
WOS:001587279300001
Scopus ID
2-s2.0-105017911357