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Textual Characteristics of News Title and Body to Detect Fake News: A Reproducibility Study
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In: Computer Science Faculty Publications and Presentations (2021)
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An Approach Utilizing Linguistic Features for Fake News Detection
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In: IFIP Advances in Information and Communication Technology ; 17th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI) ; https://hal.inria.fr/hal-03287679 ; 17th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI), Jun 2021, Hersonissos, Crete, Greece. pp.646-658, ⟨10.1007/978-3-030-79150-6_51⟩ (2021)
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Representation learning of writing style, application to news recommendation ; Apprentissage de la représentation du style écrit, application à la recommandation d’articles d’actualité
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In: https://tel.archives-ouvertes.fr/tel-03420487 ; Apprentissage [cs.LG]. Université Paris-Saclay, 2021. Français. ⟨NNT : 2021UPASG010⟩ (2021)
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Examining Linguistic Biases in Telegram with a game theoretic analysis * ; L'examination des biais linguistiques dans Telegram avec une approche théorie des jeux
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In: à paraitre ; 3rd Multidisciplinary International Symposium on Disinformation in Open Online Media (MISDOOM 2021) ; https://hal.archives-ouvertes.fr/hal-03328712 ; 3rd Multidisciplinary International Symposium on Disinformation in Open Online Media (MISDOOM 2021), Oxford Internet Institute, Sep 2021, Oxford (virtual), United Kingdom. pp.1-15 ; https://2020.misdoom.org/misdoom-2021/ (2021)
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Political polarization as a result of exposure to fake news ...
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Exploring ideological messages in newspaper editorials and news reports on the first human gene-editing case ...
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Analysing the Semantic Prosody of Timeliness in Letters to the Editor of “The Times” on the Armenian Question from 1914 to 1926 ...
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“Non credo ai miei occhi”! Un approccio psico-sociale alle visual fake news ...
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Offensive language dataset of Croatian, English and Slovenian comments FRENK 1.0
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Ekspress news article archive (in Estonian and Russian) 1.0
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Corpus of Croatian news portals ENGRI (2014-2018)
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Abstract:
The corpus consists of texts collected from the most popular (based on the Reuters Institute Digital News Report for 2018, retrieved from http://www.digitalnewsreport.org in April, 2019) news portals in Croatia in the period from 2014 to 2018: Direktno, Dnevno, Net Hr, Hrt, Index_Hr, Jutarnji, Novilist, Rtl, SlobodnaDalmacija, Večernji, Tportal, Dnevnik. Web browsing and web crawling were used to select and store the texts with their useful HTML information (publication date of the article, its URL, and title). The linguistic processing of the corpus was performed with the CLASSLA package (https://pypi.org/project/classla/) on the levels of tokenization, sentence splitting, morphosyntactic tagging, lemmatization, dependency parsing and named entity recognition. This corpus is a linguistically-processed version of the original corpus published at https://repository.pfri.uniri.hr/islandora/object/pfri%3A2156 and is distributed in the CoNLL-U format (https://universaldependencies.org/format.html).
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Keyword:
contemporary language; news corpus
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URL: http://hdl.handle.net/11356/1416
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Offensive language dataset of Croatian, English and Slovenian comments FRENK 1.1
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Keyword extraction datasets for Croatian, Estonian, Latvian and Russian 1.0
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