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Mapping Biographical events to ODPs through Lexico-Semantic Patterns?
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Towards multidomain and multilingual abusive language detection: a survey
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Hate speech and topic shift in the covid-19 public discourse on social media in Italy
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A commonsense reasoning framework for explanatory emotion attribution, generation and re-classification
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Time of your hate: The challenge of time in hate speech detection on social media
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Personal-ITY: A novel youtube-based corpus for personality prediction in Italian
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Computational models for irony detection in three Spanish variants
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Cross-domain and Cross-lingual abusive language detection: A hybrid approach with deep learning and a multilingual lexicon
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Patti V.; Pamungkas E.. - : Association for Computational Linguistics (ACL), 2019. : country:USA, 2019. : place:Stroudsburg, 2019
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An Impossible Dialogue! Nominal Utterances and Populist Rhetoric in an Italian Twitter Corpus of Hate Speech against Immigrants
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Comandini, G; Patti, V. - : Association for Computational Linguistics, 2019. : country:USA, 2019. : place:209 N EIGHTH STREET, STROUDSBURG, PA 18360 USA, 2019
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Computational linguistics against hate: Hate speech detection and visualization on social media in the "Contro L’Odio" project
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Abstract:
The paper describes the Web platform built within the project “Contro l’odio”, for monitoring and contrasting discrimination and hate speech against immigrants in Italy. It applies a combination of computational linguistics techniques for hate speech detection and data visualization tools on data drawn from Twitter. It allows users to access a huge amount of information through interactive maps, also tuning their view, e.g., visualizing the most viral tweets and interactively reducing the inherent complexity of data. Educational courses for high school students and citizenship has been developed which are centered on the platform and focused on the deconstruction of negative stereotypes against immigrants, Roma, and religious minorities, and on the creation of positive narratives.
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Keyword:
counternarratives; data visualization; hate speech detection; social media; stereotypes against immigrants; Twitter
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URL: http://ceur-ws.org/Vol-2481/paper14.pdf http://hdl.handle.net/2318/1717637
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Overview of the evalita 2016 sentiment polarity classification task
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