Kruspe, Anna und Häberle, Matthias und Hoffmann, Eike Jens und Rode-Hasinger, Samyo und Abdulahhad, Karam und Zhu, Xiao Xiang (2021) Changes in Twitter geolocations: Insights and suggestions for future usage. In: 7th Workshop on Noisy User-Generated Text, W-NUT 2021, Seiten 212-221. Association for Computational Linguistics. W-NUT: The Seventh Workshop on Noisy User-generated Text, 2021-11-07 - 2021-11-11, Punta Cana, Dominican Republic ONLINE. doi: 10.18653/v1/2021.wnut-1.24. ISBN 9781954085909.
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Offizielle URL: https://aclanthology.org/2021.wnut-1.24/
Kurzfassung
Twitter data has become established as a valuable source of data for various application scenarios in the past years. For many such applications, it is necessary to know where Twitter posts (tweets) were sent from or what location they refer to. Researchers have frequently used exact coordinates provided in a small percentage of tweets, but Twitter removed the option to share these coordinates in mid-2019. Moreover, there is reason to suspect that a large share of the provided coordinates did not correspond to GPS coordinates of the user even before that. In this paper, we explain the situation and the 2019 policy change and shed light on the various options of still obtaining location information from tweets. We provide usage statistics including changes over time, and analyze what the removal of exact coordinates means for various common research tasks performed with Twitter data. Finally, we make suggestions for future research requiring geolocated tweets.
elib-URL des Eintrags: | https://elib.dlr.de/145557/ | ||||||||||||||||||||||||||||
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Dokumentart: | Konferenzbeitrag (Poster) | ||||||||||||||||||||||||||||
Titel: | Changes in Twitter geolocations: Insights and suggestions for future usage | ||||||||||||||||||||||||||||
Autoren: |
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Datum: | 11 November 2021 | ||||||||||||||||||||||||||||
Erschienen in: | 7th Workshop on Noisy User-Generated Text, W-NUT 2021 | ||||||||||||||||||||||||||||
Referierte Publikation: | Ja | ||||||||||||||||||||||||||||
Open Access: | Ja | ||||||||||||||||||||||||||||
Gold Open Access: | Nein | ||||||||||||||||||||||||||||
In SCOPUS: | Ja | ||||||||||||||||||||||||||||
In ISI Web of Science: | Nein | ||||||||||||||||||||||||||||
DOI: | 10.18653/v1/2021.wnut-1.24 | ||||||||||||||||||||||||||||
Seitenbereich: | Seiten 212-221 | ||||||||||||||||||||||||||||
Verlag: | Association for Computational Linguistics | ||||||||||||||||||||||||||||
ISBN: | 9781954085909 | ||||||||||||||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||||||||||||||
Stichwörter: | Twitter geolocation, precise location tweets, poi tweets | ||||||||||||||||||||||||||||
Veranstaltungstitel: | W-NUT: The Seventh Workshop on Noisy User-generated Text | ||||||||||||||||||||||||||||
Veranstaltungsort: | Punta Cana, Dominican Republic ONLINE | ||||||||||||||||||||||||||||
Veranstaltungsart: | internationale Konferenz | ||||||||||||||||||||||||||||
Veranstaltungsbeginn: | 7 November 2021 | ||||||||||||||||||||||||||||
Veranstaltungsende: | 11 November 2021 | ||||||||||||||||||||||||||||
HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||||||||||||||||||||||
HGF - Programm: | Raumfahrt | ||||||||||||||||||||||||||||
HGF - Programmthema: | Erdbeobachtung | ||||||||||||||||||||||||||||
DLR - Schwerpunkt: | Raumfahrt | ||||||||||||||||||||||||||||
DLR - Forschungsgebiet: | R EO - Erdbeobachtung | ||||||||||||||||||||||||||||
DLR - Teilgebiet (Projekt, Vorhaben): | R - Fernerkundung u. Geoforschung, R - Künstliche Intelligenz | ||||||||||||||||||||||||||||
Standort: | Oberpfaffenhofen | ||||||||||||||||||||||||||||
Institute & Einrichtungen: | Institut für Methodik der Fernerkundung > EO Data Science | ||||||||||||||||||||||||||||
Hinterlegt von: | Abdulahhad, Dr. Karam | ||||||||||||||||||||||||||||
Hinterlegt am: | 17 Nov 2021 10:04 | ||||||||||||||||||||||||||||
Letzte Änderung: | 13 Nov 2024 15:24 |
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