Please use this identifier to cite or link to this item:
https://oa.tib.eu/renate/handle/123456789/11638
Files in This Item:
File | Size | Format | |
---|---|---|---|
About_Migration_Flows.pdf | 215,12 kB | Adobe PDF | View/Open |
Title: | About Migration Flows and Sentiment Analysis on Twitter Data: Building the Bridge Between Technical and Legal approaches to data protection |
Authors: | Gottschalk, Thilo; Pichierri, Francesca |
Editors: | Rigault, Mickaël; Arranz, Victoria; Siegert, Ingo |
Link to publisher: | http://www.lrec-conf.org/proceedings/lrec2022/workshops/LEGAL/pdf/2022.legal-1.6.pdf |
URI: | https://oa.tib.eu/renate/handle/123456789/11638 http://dx.doi.org/10.34657/10671 |
Issue Date: | 2022 |
Book: | Proceedings of the LREC 2022 Joint Workshop on Legal and Ethical Issues in Human Language Technologies and Multilingual De-Identification of Sensitive Language Resources (LEGAL - MDLR 2022) |
Page Start: | 27 |
Page End: | 37 |
Publisher: | Paris : European Language Resources Association (ELRA) |
Abstract: | Sentiment analysis has always been an important driver of political decisions and campaigns across all fields. Novel technologies allow automatizing analysis of sentiments on a big scale and hence provide allegedly more accurate outcomes. With user numbers in the billions and their increasingly important role in societal discussions, social media platforms become a glaring data source for these types of analysis. Due to its public availability, the relative ease of access and the sheer amount of available data, the Twitter API has become a particularly important source to researchers and data analysts alike. Despite the evident value of these data sources, the analysis of such data comes with legal, ethical and societal risks that should be taken into consideration when analysing data from Twitter. This paper describes these risks along the technical processing pipeline and proposes related mitigation measures. |
Keywords: | sentiment analysis; data protection; privacy; Konferenzschrift |
Type: | bookPart; Text |
Publishing status: | publishedVersion |
DDC: | 004 020 |
License: | CC BY-NC 4.0 Unported |
Link to license: | https://creativecommons.org/licenses/by-nc/4.0/ |
Appears in Collections: | Informatik Informationswissenschaften |
Show full item record
Gottschalk, Thilo and Francesca Pichierri, 2022. About Migration Flows and Sentiment Analysis on Twitter Data: Building the Bridge Between Technical and Legal approaches to data protection. In: (Hrsg.)Mickaël Rigault, Victoria Arranz and Ingo Siegert. Paris : European Language Resources Association (ELRA). ISBN 979-10-95546-96-2
Gottschalk, T. and Pichierri, F. (2022) “About Migration Flows and Sentiment Analysis on Twitter Data: Building the Bridge Between Technical and Legal approaches to data protection.” Paris : European Language Resources Association (ELRA).
Gottschalk T, Pichierri F. About Migration Flows and Sentiment Analysis on Twitter Data: Building the Bridge Between Technical and Legal approaches to data protection. In: , editorRigault M, Arranz V, Siegert I. Paris : European Language Resources Association (ELRA); 2022.
Gottschalk, T., & Pichierri, F. (2022). About Migration Flows and Sentiment Analysis on Twitter Data: Building the Bridge Between Technical and Legal approaches to data protection. Paris : European Language Resources Association (ELRA).
Gottschalk T, Pichierri F. About Migration Flows and Sentiment Analysis on Twitter Data: Building the Bridge Between Technical and Legal approaches to data protection. In: , ed.Rigault M, Arranz V, Siegert I Paris : European Language Resources Association (ELRA); 2022.
This item is licensed under a Creative Commons License