'Don't discuss': Investigating Semantic and Argumentative Features for Supervised Propagandist Message Detection and Classification
| Autor: | Serena Villata, Elena Cabrio, Vorakit Vorakitphan |
|---|---|
| Přispěvatelé: | Scalable and Pervasive softwARe and Knowledge Systems (Laboratoire I3S - SPARKS), Laboratoire d'Informatique, Signaux, et Systèmes de Sophia Antipolis (I3S), Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)-Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA), Web-Instrumented Man-Machine Interactions, Communities and Semantics (WIMMICS), Inria Sophia Antipolis - Méditerranée (CRISAM), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Scalable and Pervasive softwARe and Knowledge Systems (Laboratoire I3S - SPARKS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)-Laboratoire d'Informatique, Signaux, et Systèmes de Sophia Antipolis (I3S), Institut National de Recherche en Informatique et en Automatique (Inria), Université Côte d'Azur (UCA), This work is supported by the ANSWER project Projet PIA - ANSWER - FSN2 (P159564-2661789\DOS0060094) between Inria and Qwant., This work has been supported by the French government, through the 3IA Cote d’Azur Investments in the Future project managed by the National Research Agency (ANR) with the reference number ANR-19-P3IA-0002., ANSWER project, ANR-19-P3IA-0002,3IA@cote d'azur,3IA Côte d'Azur(2019), Université Nice Sophia Antipolis (1965 - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)-Université Nice Sophia Antipolis (1965 - 2019) (UNS) |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Argumentative
Propaganda techniques Computer science business.industry computer.software_genre [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL] Argumentation theory [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI] Disinformation Rhetorical question Social media Artificial intelligence Language model business computer Natural language processing Sentence |
| Zdroj: | RANLP 2021-Recent Advances in Natural Language Processing RANLP 2021-Recent Advances in Natural Language Processing, Sep 2021, Varna / Virtual, Bulgaria RANLP |
| Popis: | International audience; One of the mechanisms through which disinformation is spreading online, in particular through social media, is by employing propaganda techniques. These include specific rhetorical and psychological strategies, ranging from leveraging on emotions to exploiting logical fallacies. In this paper, our goal is to push forward research on propaganda detection based on text analysis, given the crucial role these methods may play to address this main societal issue. More precisely, we propose a supervised approach to classify textual snippets both as propaganda messages and according to the precise applied propaganda technique, as well as a detailed linguistic analysis of the features characterising propaganda information in text (e.g., semantic, sentiment and argumentation features). Extensive experiments conducted on two available propagandist resources (i.e., NLP4IF'19 and SemEval'20-Task 11 datasets) show that the proposed approach, leveraging different language models and the investigated linguistic features, achieves very promising results on propaganda classification, both at sentence and at fragment-level. |
| Databáze: | OpenAIRE |
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