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GiliGold/VAD_KnessetCorpus

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Permissive or share-alike

The declared licence (cc-by-4.0) is classified as permissive.

Declared licence: cc-by-4.0, from the tagEvidence: README.md at 0af3ec6
Licence files: No licence file at the top level of the repositoryEvidence: file list at 0af3ec6
Declared sources: None listed in the card metadata
Access gated on Hugging Face: No

Each cell links to what was checked: a file, a file list or a Hub record.

Tasks

text-classification

Citation text from the card

@article{10.1162/COLI.a.600,
    author = {Goldin, Gili and Rabinovich, Ella and Wintner, Shuly},
    title = {Unveiling Affective Polarization Trends in Parliamentary Proceedings},
    journal = {Computational Linguistics},
    pages = {1-33},
    year = {2026},
    month = {01},
    abstract = {Recent years have seen an increase in polarized discourse worldwide, on various platforms. We propose a novel method for quantifying polarization, based on the emotional style of the discourse rather than on differences in ideological stands. Using measures of Valence, Arousal and Dominance, we detect signals of emotional discourse and use them to operationalize the concept of affective polarization. Applying this method to a recently released corpus of proceedings of the Knesset, the Israeli parliament (in Hebrew), we find that the emotional style of members of government differs from that of opposition members; and that the level of affective polarization, as reflected by this style, is significantly increasing with time.},
    issn = {0891-2017},
    doi = {10.1162/COLI.a.600},
    url = {https://doi.org/10.1162/COLI.a.600},
    eprint = {https://direct.mit.edu/coli/article-pdf/doi/10.1162/COLI.a.600/2573634/coli.a.600.pdf},
}

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dataset_licence({ "id": "GiliGold/VAD_KnessetCorpus" })
signal: "permissive"
stated_licence: "cc-by-4.0"
sources: 0