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41
Textual Characteristics of News Title and Body to Detect Fake News: A Reproducibility Study
In: Computer Science Faculty Publications and Presentations (2021)
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42
An Approach Utilizing Linguistic Features for Fake News Detection
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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43
Representation learning of writing style, application to news recommendation ; Apprentissage de la représentation du style écrit, application à la recommandation d’articles d’actualité
Hay, Julien. - : HAL CCSD, 2021
In: https://tel.archives-ouvertes.fr/tel-03420487 ; Apprentissage [cs.LG]. Université Paris-Saclay, 2021. Français. ⟨NNT : 2021UPASG010⟩ (2021)
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44
Examining Linguistic Biases in Telegram with a game theoretic analysis * ; L'examination des biais linguistiques dans Telegram avec une approche théorie des jeux
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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45
The "nice-of-you" construction and its fragments
In: Linguistics. - Berlin [u.a.] : Mouton de Gruyter 59 (2021) 1, 285-318
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46
Political polarization as a result of exposure to fake news ...
Bolesta, Deliah. - : Open Science Framework, 2021
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47
Exploring ideological messages in newspaper editorials and news reports on the first human gene-editing case ...
Nikitina, Jekaterina. - : University of Salento, 2021
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48
Analysing the Semantic Prosody of Timeliness in Letters to the Editor of “The Times” on the Armenian Question from 1914 to 1926 ...
Martini, Isabella. - : Iperstoria, 2021
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49
“Non credo ai miei occhi”! Un approccio psico-sociale alle visual fake news ...
D’Errico, Francesca. - : ECHO, 2021
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50
Financial News dataset for text mining ...
Nicolas, Turenne. - : Zenodo, 2021
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51
Bilingual fake news ...
Calvillo, Dustin. - : Open Science Framework, 2021
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52
Offensive language dataset of Croatian, English and Slovenian comments FRENK 1.0
Ljubešić, Nikola; Fišer, Darja; Erjavec, Tomaž. - : Jožef Stefan Institute, 2021
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53
Ekspress news article archive (in Estonian and Russian) 1.0
Abstract: The dataset is an archive of articles from the Ekspress Meedia news site from 2009-2019, containing over 1.4M articles, mostly in Estonian language (1,115,120 articles) with some in Russian (325,952 articles). Keywords are included for articles after 2015. The main archive is in file ee_articles_2009_2019. Other files contain derived versions and subsets - please see README files inside those zip files. The main archive contains JSON files of all the Estonian articles from the year 2009 to 2019 May. These datasets are intended for usage in EMBEDDIA, a H2020 project. Articles are in Estonian language with some in Russian. The main archive is in file ee_*articles_*2009_2019. Other files contain derived versions and subsets (please see README files inside those zip files), in short: - eearticles2015-2019: This dataset contains Estonian and Russian articles - 5 years, with tags, that were missing in the previous versions. - files eearticles20152019lemmatized and eearticles20092014lemmatized are the files preprocessed by TEXTA (contact linda@texta.ee) - in file eeandsttarticlelemmasembeddingsand_usage you can find w2v embeddings trained by TEXTA (contact linda@texta.ee) Description of the Main Dataset (eearticles_2009_2019) There are 12 JSON files: articles_2009_ver2.json contains 161394 articles from the year 2009 articles_2010_ver2.json contains 151033 articles from the year 2010 articles_2011_ver2.json contains 168273 articles from the year 2011 articles_2012_ver2.json contains 152772 articles from the year 2012 articles_2013_ver2.json contains 141012 articles from the year 2013 articles_2014_ver2.json contains 128388 articles from the year 2014 articles_2015_ver2.json contains 127425 articles from the year 2015 articles_2016_ver2.json contains 130704 articles from the year 2016 articles_2017_ver2.json contains 119318 articles from the year 2017 articles_2018_ver2.json contains 117388 articles from the year 2018 articles_2019_Jan-Apr_ver2.json contains 35076 articles from the year 2019 January to April articles_2019_May_ver2.json contains 8329 articles from the year 2019 May In sum: 1 441 112 articles Each JSON file is a list of dictionaries, i.e. each article is represented as a dictionary. Each dictionary contains the following: id (integer) - the ID of the article title (string) - the title of the article lead (string) - the lead of the article (can contain HTML, e.g. tag) url (string) - the URL of the article tags (list of dictionaries or None) [1]: each dictionary represents one tag. The tag dictionary contains the following: domain_id (string) [2] - the ID of the domain id (string) - the ID of the tag lang (string) - the language of the tag tag (string) - the tag itself, e.g. Kert Kingo (a name) translitted_name (string) - a modified version of the tag, e.g. kert-kingo rawBody (string) - the raw text of the article (contains HTML) bodyText (string) - clean article text (stripped from HTML) publishDate (string) - published date & time of the article categoryPrimary (dictionary or empty list) - the dictionary contains the following information: categoryId (integer) - the ID of the category categoryName (string)- the name of the category (e.g. World) channelId (integer) - the ID of the channel OR articleId (integer) - the ID of the article categoryId (integer) - the ID of the category categoryName (string)- the name of the category (e.g. World) categoryPrimary (boolean) - unknown categorySort (integer) - unknown categoryUrl (string) - the URL of the category categoryVisible (boolean) - unknown channelId (integer) - the ID of the channel channelUrl (string) - the URL of the channel (e.g. 'https://sport.delfi.ee') directoryName (string) - unknown parentId (integer) - unknown channelLanguage (string or None) [3] - the language of the channel categoryLanguage (int or None) [4] -unknown commentCount (int) [5] - the number of comments relatedArticles (list of integers) - a list of related articles' ID's
Keyword: lemmatisation; news corpus; word embeddings
URL: http://hdl.handle.net/11356/1408
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54
Corpus of Croatian news portals ENGRI (2014-2018)
Bogunović, Irena; Kučić, Mario; Ljubešić, Nikola. - : University of Rijeka, Faculty of Maritime Studies, 2021
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55
Offensive language dataset of Croatian, English and Slovenian comments FRENK 1.1
Ljubešić, Nikola; Fišer, Darja; Erjavec, Tomaž. - : Jožef Stefan Institute, 2021
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56
Ekspress user comment dataset 1.0
Shekhar, Ravi; Pollak, Senja; Pelicon, Andraž. - : Ekspress Meedia Group, 2021
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57
24sata news comment dataset 1.0
Shekhar, Ravi; Pranjic, Marko; Pollak, Senja. - : Styria Media Group, 2021
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58
Keyword extraction datasets for Croatian, Estonian, Latvian and Russian 1.0
Koloski, Boshko; Pollak, Senja; Škrlj, Blaž. - : Ekspress Meedia Group, 2021. : Styria Media Group, 2021
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59
24sata news article archive 1.0
Purver, Matthew; Shekhar, Ravi; Pranjić, Marko. - : Styria Media Group, 2021
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60
Latvian Delfi article archive (in Latvian and Russian) 1.0
Pollak, Senja; Purver, Matthew; Shekhar, Ravi. - : Ekspress Meedia Group, 2021
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