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Title:

TweEvent: A dataset of Twitter messages about events in the Ukraine conflict

Document type:
Forschungsdaten
Publication date:
22.03.2023
Responsible:
Kruspe, Anna
Authors:
Rode-Hasinger, Samyo; Häberle, Matthias; Racek, Daniel; Kruspe, Anna; Zhu, Xiao Xiang
Author affiliation:
TUM: Rode-Hasinger, Samyo; Häberle, Matthias; Racek, Daniel; Kruspe, Anna; Zhu, Xiao Xiang
Technische Hochschule Nürnberg: Kruspe, Anna
Publisher:
TUM
Identifier:
doi:10.14459/2023mp1703244
End date of data production:
11.11.2022
Subject area:
INF Informationswesen, Bibliotheks-, Dokumentations-, Archiv-, Museumswesen; LIN Linguistik; POL Politologie
Resource type:
Experimente und Beobachtungen / experiments and observations; Statistik und Referenzdaten / statistics and reference data; Textdokumente / text documents
Other resource types:
Social media messages
Data type:
Texte / texts
Other data type:
IDs for retrieving text data from two sources (ACLED & Twitter)
Description:
Information about incidents within a conflict, e.g., shelling of an area of interest, is scattered amongst different data or media sources. For example, the ACLED dataset continuously documents local incidents recorded within the context of a specific conflict such as Russia’s war in Ukraine. However, these blocks of information might be incomplete. Therefore, it is useful to collect data from several sources to enrich the information pool of a certain incident. In this paper, we present a datas...     »
Method of data assessment:
Long-term collection of Twitter messages, then alignment to known events from the ACLED dataset using NLP methods (see paper)
Key words:
Conflict, Ukraine, Dataset, Social Media, NLP
Technical remarks:
View and download (1,8 MB total, 2 Files)
The data server also offers downloads with FTP
The data server also offers downloads with rsync (password m1703244):
rsync rsync://m1703244@dataserv.ub.tum.de/m1703244/
Language:
en
Rights:
by, http://creativecommons.org/licenses/by/4.0
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