Papers Propaganda detection
“Propaganda detection” 태그가 달린 논문 61편 · 필터 해제
LLM-based Semantic Augmentation for Harmful Content Detection
Recent advances in large language models (LLMs) have demonstrated strong performance on simple text classification tasks, frequently under zero-shot settings. However, their efficacy declines when tackling complex social…
ClassificationHateful Meme ClassificationMeme ClassificationPropaganda detection+2Biased by Design: Leveraging Inherent AI Biases to Enhance Critical Thinking of News Readers
This paper explores the design of a propaganda detection tool using Large Language Models (LLMs). Acknowledging the inherent biases in AI models, especially in political contexts, we investigate how these biases might be…
Propaganda detectionLarge Language Models as Span Annotators
For high-quality texts, single-score metrics seldom provide actionable feedback. In contrast, span annotation - pointing out issues in the text by annotating their spans - can guide improvements and provide insights. Unt…
Data-to-Text GenerationMachine TranslationPropaganda detectionText Generation+1Effective Yet Ephemeral Propaganda Defense: There Needs to Be More than One-Shot Inoculation to Enhance Critical Thinking
In today's media landscape, propaganda distribution has a significant impact on society. It sows confusion, undermines democratic processes, and leads to increasingly difficult decision-making for news readers. We invest…
Decision MakingPropaganda detectionReasoning About Persuasion: Can LLMs Enable Explainable Propaganda Detection?
There has been significant research on propagandistic content detection across different modalities and languages. However, most studies have primarily focused on detection, with little attention given to explanations ju…
Explanation GenerationPropaganda detectionMemeMind at ArAIEval Shared Task: Spotting Persuasive Spans in Arabic Text with Persuasion Techniques Identification
This paper focuses on detecting propagandistic spans and persuasion techniques in Arabic text from tweets and news paragraphs. Each entry in the dataset contains a text sample and corresponding labels that indicate the s…
Propaganda detectiontoken-classificationToken ClassificationThink Fast, Think Slow, Think Critical: Designing an Automated Propaganda Detection Tool
In today's digital age, characterized by rapid news consumption and increasing vulnerability to propaganda, fostering citizens' critical thinking is crucial for stable democracies. This paper introduces the design of Cla…
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 detectionCheck News in One Click: NLP-Empowered Pro-Kremlin Propaganda Detection
Many European citizens become targets of the Kremlin propaganda campaigns, aiming to minimise public support for Ukraine, foster a climate of mistrust and disunity, and shape elections (Meister, 2022). To address this ch…
Propaganda detectionLarge Language Models for Propaganda Span Annotation
The use of propagandistic techniques in online content has increased in recent years aiming to manipulate online audiences. Fine-grained propaganda detection and extraction of textual spans where propaganda techniques ar…
Propaganda detectionLarge Language Models for Propaganda Detection
The prevalence of propaganda in our digital society poses a challenge to societal harmony and the dissemination of truth. Detecting propaganda through NLP in text is challenging due to subtle manipulation techniques and …
ArticlesMulti-Label ClassificationMUlTI-LABEL-ClASSIFICATIONPrompt Engineering+1Detecting Propaganda Techniques in Code-Switched Social Media Text
Propaganda is a form of communication intended to influence the opinions and the mindset of the public to promote a particular agenda. With the rise of social media, propaganda has spread rapidly, leading to the need for…
Propaganda detectionHQP: A Human-Annotated Dataset for Detecting Online Propaganda
Online propaganda poses a severe threat to the integrity of societies. However, existing datasets for detecting online propaganda have a key limitation: they were annotated using weak labels that can be noisy and even in…
Few-Shot LearningPropaganda detectionRobust and Explainable Identification of Logical Fallacies in Natural Language Arguments
The spread of misinformation, propaganda, and flawed argumentation has been amplified in the Internet era. Given the volume of data and the subtlety of identifying violations of argumentation norms, supporting informatio…
Data AugmentationLogical FallaciesMisinformationPropaganda detectionOverview of the WANLP 2022 Shared Task on Propaganda Detection in Arabic
Propaganda is the expression of an opinion or an action by an individual or a group deliberately designed to influence the opinions or the actions of other individuals or groups with reference to predetermined ends, whic…
Propaganda detectionIITD at the WANLP 2022 Shared Task: Multilingual Multi-Granularity Network for Propaganda Detection
We present our system for the two subtasks of the shared task on propaganda detection in Arabic, part of WANLP'2022. Subtask 1 is a multi-label classification problem to find the propaganda techniques used in a given twe…
Multi-Label ClassificationMUlTI-LABEL-ClASSIFICATIONPropaganda detectionXLM-RLarge Language Models for Multi-label Propaganda Detection
The spread of propaganda through the internet has increased drastically over the past years. Lately, propaganda detection has started gaining importance because of the negative impact it has on society. In this work, we …
Propaganda 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 detectionProtoTEx: Explaining Model Decisions with Prototype Tensors
We present ProtoTEx, a novel white-box NLP classification architecture based on prototype networks. ProtoTEx faithfully explains model decisions based on prototype tensors that encode latent clusters of training examples…
modelPropaganda detectionSemi-supervised Stance Detection of Tweets Via Distant Network Supervision
Detecting and labeling stance in social media text is strongly motivated by hate speech detection, poll prediction, engagement forecasting, and concerted propaganda detection. Today's best neural stance detectors need la…
Hate Speech DetectionPropaganda detectionStance Detection