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ZENODO
Dataset . 2021
License: CC BY NC ND
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2021
License: CC BY NC ND
Data sources: Datacite
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Finnish Rumor Detection Dataset and Models

Research datakeyboard_double_arrow_right Dataset 16 Apr 2021 Finnish Publisher:Zenodo
Authors: Hämäläinen, Mika; Alnajjar, Khalid; Partanen, Niko; Rueter, Jack;

doi: 10.5281/zenodo.4697528 , 10.5281/zenodo.4697529

Finnish Rumor Detection Dataset and Models

Abstract

Data and models for Finnish rumor detection. The entire dataset is in rumor_dataset.json. Look into dataset_splits.zip for data splits used in the paper (*_test.txt and *_train.txt). The .pt files are the OpenNMT models described in the paper. bert-models.zip has the BERT based models trained with the bert.py (FinBERT) and bert_multi.py (Multilingual BERT) scripts. Cite: Hämäläinen, M., Alnajjar, K., Partanen, N., & Rueter, J. (2021) Never guess what I heard... Rumor Detection in Finnish News: a Dataset and a Baseline. In the Proceedings of the Third Workshop on NLP for Internet Freedom (NLP4IF): Censorship, Disinformation, and Propaganda

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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