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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 12 of 12 1 What Motivates You? Benchmarking Automatic Detection of Basic Needs from Short Posts ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Franco-Salvador, Marc; Ghanem, Bilal. - : Underline Science Inc., 2021 BASE Show details 2 On the Detection of False Information: From Rumors to Fake News Ghanem, Bilal Hisham Hasan. - : Universitat Politècnica de València, 2021 BASE Show details 3 Irony Detection in a Multilingual Context Ghanem, Bilal; Karoui, Jihen; Benamara, Farah... In: ECIR ; https://hal.archives-ouvertes.fr/hal-02889008 ; ECIR, Apr 2020, online, Portugal (2020) BASE Show details 4 Irony Detection in a Multilingual Context ... Ghanem, Bilal; Karoui, Jihen; Benamara, Farah. - : arXiv, 2020 BASE Show details 5 Irony Detection in a Multilingual Context Ghanem, Bilal; Karoui, Jihen; Benamara, Farah. - 2020 BASE Show details 6 The Role of Personality and Linguistic Patterns in Discriminating Between Fake News Spreaders and Fact Checkers Giachanou, Anastasia; Ríssola, Esteban A.; Ghanem, Bilal; Crestani, Fabio; Rosso, Paolo In: Natural Language Processing and Information Systems (2020) Abstract: Users play a critical role in the creation and propagation of fake news online by consuming and sharing articles with inaccurate information either intentionally or unintentionally. Fake news are written in a way to confuse readers and therefore understanding which articles contain fabricated information is very challenging for non-experts. Given the difficulty of the task, several fact checking websites have been developed to raise awareness about which articles contain fabricated information. As a result of those platforms, several users are interested to share posts that cite evidence with the aim to refute fake news and warn other users. These users are known as fact checkers. However, there are users who tend to share false information, who can be characterised as potential fake news spreaders. In this paper, we propose the CheckerOrSpreader model that can classify a user as a potential fact checker or a potential fake news spreader. Our model is based on a Convolutional Neural Network (CNN) and combines word embeddings with features that represent users’ personality traits and linguistic patterns used in their tweets. Experimental results show that leveraging linguistic patterns and personality traits can improve the performance in differentiating between checkers and spreaders. Keyword: Article URL: https://doi.org/10.1007/978-3-030-51310-8_17 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7298180/ BASE Hide details 7 An Emotional Analysis of False Information in Social Media and News Articles Rangel, Francisco; Rosso, Paolo; Ghanem, Bilal Hisham Hasan. - : Association for Computing Machinery, 2020 BASE Show details 8 FacTweet: Profiling Fake News Twitter Accounts Rosso, Paolo; Ponzetto, Simone Paolo; Ghanem, Bilal Hisham Hasan. - : Springer, 2020 BASE Show details 9 Overview of PAN 2020: Authorship Verification, Celebrity Profiling, Profiling Fake News Spreaders on Twitter, and Style Change Detection Bevendorff, Janek; Ghanem, Bilal Hisham Hasan; Giachanou, Anastasia. - : Springer, 2020 BASE Show details 10 The Role of Personality and Linguistic Patterns in Discriminating Between Fake News Spreaders and Fact Checkers Giachanou, Anastasia; Ríssola, Esteban A.; Ghanem, Bilal. - : Springer, 2020 BASE Show details 11 IDAT@FIRE2019: Overview of the Track on Irony Detection in Arabic Tweets Ghanem, Bilal; Karoui, Jihen; Benamara, Farah. - : CEUR-WS.org, 2019 BASE Show details 12 Online Hate Speech against Women: Automatic Identification of Misogyny and Sexism on Twitter Ghanem, Bilal; Montes-y-Gómez, Manuel; Frenda, Simona. - : IOS Press, 2019 BASE Show details

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