Neural Architectures for Fine-Grained Propaganda Detection in News
This paper describes our system (MIC-CIS) details and results of participation in the fine-grained propaganda detection shared task 2019. To address the tasks of sentence (SLC) and fragment level (FLC) propaganda detection, we explore different neural architectures (e.g., CNN, LSTM-CRF and BERT) and extract linguistic (e.g., part-of-speech, named entity, readability, sentiment, emotion, etc.), layout and topical features. Specifically, we have designed multi-granularity and multi-tasking neural architectures to jointly perform both the sentence and fragment level propaganda detection. Additionally, we investigate different ensemble schemes such as majority-voting, relax-voting, etc. to boost overall system performance. Compared to the other participating systems, our submissions are ranked 3rd and 4th in FLC and SLC tasks, respectively.
Code (0)
등록된 구현이 없습니다.
Tasks
Propaganda detectionSentenceSimilar Papers 제목 키워드 기반
Fine-Grained Analysis of Propaganda in News Article
Propaganda aims at influencing people{'}s mindset with the purpose of advancing a specific agenda. Previous work has addressed propaganda detection at document level, typically labelling all articles from a propagandisti…
ArticlesPropaganda detectionFine-Grained Analysis of Propaganda in News Articles
Propaganda aims at influencing people's mindset with the purpose of advancing a specific agenda. Previous work has addressed propaganda detection at the document level, typically labelling all articles from a propagandis…
ArticlesPropaganda detectionTWEETSPIN: Fine-grained Propaganda Detection in Social Media Using Multi-View Representations
Recently, several studies on propaganda detection have involved document and fragment-level analyses of news articles. However, there are significant data and modeling challenges dealing with fine-grained detection of pr…
ArticlesImplicit RelationsLogical FallaciesPropaganda detectionLeveraging Declarative Knowledge in Text and First-Order Logic for Fine-Grained Propaganda Detection
We study the detection of propagandistic text fragments in news articles. Instead of merely learning from input-output datapoints in training data, we introduce an approach to inject declarative knowledge of fine-grained…
ArticlesPropaganda detectionCan GPT-4 Identify Propaganda? Annotation and Detection of Propaganda Spans in News Articles
The use of propaganda has spiked on mainstream and social media, aiming to manipulate or mislead users. While efforts to automatically detect propaganda techniques in textual, visual, or multimodal content have increased…
8kArticlesPropaganda detection