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A statistically compared German-language lexical resource for issue frames related to the event "European Refugee Crisis" (2014-2018); Originally published in Journal for Language Technology and Computational Linguistics, 35(2)

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Refugees and Migration Framing Vocabulary (RMFV)

CC BY-NC-SA 4.0

NEWS

🆕🔥 RMFV has new release! Check out the latest version at the main branch. The older branch is archived in the branch archive-v1.

Update in the new version:

The dataset MigParl (Blätte & Leonhardt 2020) is used as an extra resource to enhance the compilation of RMFV.

1. About

Refugees and Migration Framing Vocabulary (RMFV) is a German-language lexical resource which consists of dictionaries of 9 issue frames specifically related to the event "European Refugee Crisis" between 2014-2018 (issue frames ≈ the aspects of an event that are emphasized by the information sender).

The nine categories of issue frames are from our Refugees and Migration Framing Schema (RMFS), a schema developed in a theory-driven fashion. Both RMFV and RMFS are presented in:

Qi Yu & Anselm Fliethmann. 2021. Frame detection in German political discourses: How far can we go without large-scale manual corpus annotation?. Journal for Language Technology and Computational Linguistics, 35(2): 15–31

Contributors: Qi Yu, Anselm Fliethmann, Fabian Cloos, Hannah Horschke, Bibiane Neisser, Clara Oppenländer

2. Cite RMFV

Please cite the following paper when using RMFV:

@article{yu2022frame, 
    title={Frame Detection in German Political Discourses: How Far Can We Go Without Large-Scale Manual Corpus Annotation?}, 
    volume={35}, 
    url={https://jlcl.org/article/view/227}, 
    DOI={10.21248/jlcl.35.2022.227}, 
    number={2}, 
    journal={Journal for Language Technology and Computational Linguistics}, 
    author={Yu, Qi and Fliethmann, Anselm}, 
    year={2022}, 
    month={July}, 
    pages={15–31}
}

3. Acknowledgement

This project is funded by the Deutsche Forschungsgemeinschaft (DFG – German Research Foundation) under Germany‘s Excellence Strategy – EXC-2035/1 – 390681379.

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A statistically compared German-language lexical resource for issue frames related to the event "European Refugee Crisis" (2014-2018); Originally published in Journal for Language Technology and Computational Linguistics, 35(2)

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