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PROTECT: A Pipeline for Propaganda Detection and Classification
In: CLiC-it 2021- Italian Conference on Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-03417019 ; CLiC-it 2021- Italian Conference on Computational Linguistics, Jan 2022, Milan, Italy (2022)
Abstract: International audience ; Propaganda is a rhetorical technique to present opinions with the deliberate goal of influencing the opinions and the actions of other (groups of) individuals for predetermined misleading ends. The employment of such manipulation techniques in politics and news articles, as well as its subsequent spread on social networks, may lead to threatening consequences for the society and its more vulnerable members. In this paper, we present PROTECT (PROpaganda Text dEteCTion), a new system to automatically detect propagandist messages and classify them along with the propaganda techniques employed. PROTECT is designed as a full pipeline to firstly detect propaganda text snippets from the input text, and then classify the technique of propaganda, taking advantage of semantic and argumentation features. A video demo of the PROTECT system is also provided to show its main functionalities. ; La propaganda è una tecnica retorica per presentare determinate opinioni con l'obiettivo deliberato di influenzare le opinioni e le azioni di altri (gruppi di) individui per fini predeterminati e tendenzialmente fuorvianti. L'impiego di tale tecnica di manipolazione in politica e nella stampa, così come la sua diffusione sulle reti sociali, può portare a conseguenze disastrose per la società e per i suoi membri più vulnerabili. In questo articolo presentiamo PROTECT (PROpaganda Text dEteCTion), un nuovo sistema per identificare automaticamente i messaggi propagandistici e classificarli rispetto alle tecniche di propaganda utilizzate. PROTECT è un sistema progettato come una pipeline completa per rilevare in primo luogo i frammenti di testo propagandistici dato il testo proposto, e successivamente classificare tali frammenti secondo la tecnica di propaganda usata, sfruttando le caratteristiche semantiche e argomentative del testo. Questo articolo presenta anche un video dimostrativo del sistema PROTECT per mostrare le principali funzionalità fornite all'utente.
Keyword: [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing; Argumentation; Natural Language Processing; Propaganda Detection; Sentiment Analysis
URL: https://hal.archives-ouvertes.fr/hal-03417019v2/file/CLiC_it_2021__demo_propaganda_snippets_and_techniques_classification.pdf
https://hal.archives-ouvertes.fr/hal-03417019
https://hal.archives-ouvertes.fr/hal-03417019v2/document
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2
#Bittersweet: Positive, negative, and mixed emotions in twitter posts ...
Langbehn, Andrew. - : Open Science Framework, 2022
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Evaluation computergestützter Verfahren der Emotionsklassifikation für deutschsprachige Dramen um 1800 ...
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Evaluation computergestützter Verfahren der Emotionsklassifikation für deutschsprachige Dramen um 1800 ...
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5
MULDASA: Multifactor Lexical Sentiment Analysis of Social-Media Content in Nonstandard Arabic Social Media
In: Applied Sciences; Volume 12; Issue 8; Pages: 3806 (2022)
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6
Lexicon-Based vs. Bert-Based Sentiment Analysis: A Comparative Study in Italian
In: Electronics; Volume 11; Issue 3; Pages: 374 (2022)
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7
A New Ontology-Based Method for Arabic Sentiment Analysis
In: Big Data and Cognitive Computing; Volume 6; Issue 2; Pages: 48 (2022)
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8
COVID-19 Vaccination-Related Sentiments Analysis: A Case Study Using Worldwide Twitter Dataset
In: Healthcare; Volume 10; Issue 3; Pages: 411 (2022)
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9
Exploring Bidirectional Performance of Hotel Attributes through Online Reviews Based on Sentiment Analysis and Kano-IPA Model
In: Applied Sciences; Volume 12; Issue 2; Pages: 692 (2022)
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10
Analysis of Destination Images in the Emerging Ski Market: The Case Study in the Host City of the 2022 Beijing Winter Olympic Games
In: Sustainability; Volume 14; Issue 1; Pages: 555 (2022)
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11
Connecting Text Classification with Image Classification: A New Preprocessing Method for Implicit Sentiment Text Classification
In: Sensors; Volume 22; Issue 5; Pages: 1899 (2022)
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12
Short Text Aspect-Based Sentiment Analysis Based on CNN + BiGRU
In: Applied Sciences; Volume 12; Issue 5; Pages: 2707 (2022)
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13
Climate Change Sentiment Analysis Using Lexicon, Machine Learning and Hybrid Approaches
In: Sustainability; Volume 14; Issue 8; Pages: 4723 (2022)
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14
How We Failed in Context: A Text-Mining Approach to Understanding Hotel Service Failures
In: Sustainability; Volume 14; Issue 5; Pages: 2675 (2022)
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15
Deep Sentiment Analysis Using CNN-LSTM Architecture of English and Roman Urdu Text Shared in Social Media
In: Applied Sciences; Volume 12; Issue 5; Pages: 2694 (2022)
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16
How Do Chinese People View Cyberbullying? A Text Analysis Based on Social Media
In: International Journal of Environmental Research and Public Health; Volume 19; Issue 3; Pages: 1822 (2022)
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17
TBCOV: Two Billion Multilingual COVID-19 Tweets with Sentiment, Entity, Geo, and Gender Labels
In: Data; Volume 7; Issue 1; Pages: 8 (2022)
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18
Detecting Depression Signs on Social Media: A Systematic Literature Review
In: Healthcare; Volume 10; Issue 2; Pages: 291 (2022)
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19
A Novel Method of Generating Geospatial Intelligence from Social Media Posts of Political Leaders
In: Information; Volume 13; Issue 3; Pages: 120 (2022)
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20
Using social media and personality traits to assess software developers' emotions ...
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