Articles | Volume 21, issue 6
Nat. Hazards Earth Syst. Sci., 21, 1825–1845, 2021
https://doi.org/10.5194/nhess-21-1825-2021

Special issue: Groundbreaking technologies, big data, and innovation for...

Nat. Hazards Earth Syst. Sci., 21, 1825–1845, 2021
https://doi.org/10.5194/nhess-21-1825-2021

Review article 15 Jun 2021

Review article | 15 Jun 2021

Review article: Detection of actionable tweets in crisis events

Anna Kruspe et al.

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (further review by editor and referees) (14 Oct 2020) by Rui Figueiredo
AR by Anna Kruspe on behalf of the Authors (18 Dec 2020)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (21 Dec 2020) by Rui Figueiredo
RR by Anonymous Referee #2 (02 Jan 2021)
RR by Anonymous Referee #3 (12 Jan 2021)
ED: Reconsider after major revisions (further review by editor and referees) (20 Jan 2021) by Rui Figueiredo
AR by Anna Kruspe on behalf of the Authors (05 Mar 2021)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (10 Mar 2021) by Rui Figueiredo
RR by Anonymous Referee #3 (16 Apr 2021)
ED: Publish subject to technical corrections (19 Apr 2021) by Rui Figueiredo
AR by Anna Kruspe on behalf of the Authors (23 Apr 2021)  Author's response    Manuscript
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Short summary
Messages on social media can be an important source of information during crisis situations. This article reviews approaches for the reliable detection of informative messages in a flood of data. We demonstrate the varying goals of these approaches and present existing data sets. We then compare approaches based (1) on keyword and location filtering, (2) on crowdsourcing, and (3) on machine learning. We also point out challenges and suggest future research.
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