Propaganda detection
13 papers with code • 0 benchmarks • 1 datasets
Benchmarks
These leaderboards are used to track progress in Propaganda detection
Most implemented papers
Semi-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.
Large Language Models for Propaganda Detection
We evaluate the models' performance by assessing metrics such as $F1$ score, $Precision$, and $Recall$, comparing the results with the current state-of-the-art approach using RoBERTa.
Towards Detection of Subjective Bias using Contextualized Word Embeddings
Subjective bias detection is critical for applications like propaganda detection, content recommendation, sentiment analysis, and bias neutralization.
Cost-Sensitive BERT for Generalisable Sentence Classification with Imbalanced Data
The automatic identification of propaganda has gained significance in recent years due to technological and social changes in the way news is generated and consumed.
UTMN at SemEval-2020 Task 11: A Kitchen Solution to Automatic Propaganda Detection
The article describes a fast solution to propaganda detection at SemEval-2020 Task 11, based onfeature adjustment.
CyberWallE at SemEval-2020 Task 11: An Analysis of Feature Engineering for Ensemble Models for Propaganda Detection
This paper describes our participation in the SemEval-2020 task Detection of Propaganda Techniques in News Articles.
YNU-HPCC at SemEval-2020 Task 11: LSTM Network for Detection of Propaganda Techniques in News Articles
This paper also compares the performances of different deep learning model architectures, such as the Bi-LSTM, LSTM, BERT, and XGBoost models, on the detection of news promotion techniques.
Dataset of Propaganda Techniques of the State-Sponsored Information Operation of the People's Republic of China
The digital media, identified as computational propaganda provides a pathway for propaganda to expand its reach without limit.
ProtoTEx: Explaining Model Decisions with Prototype Tensors
We present ProtoTEx, a novel white-box NLP classification architecture based on prototype networks.
IITD at the WANLP 2022 Shared Task: Multilingual Multi-Granularity Network for Propaganda Detection
In addition to finding the techniques, Subtask 2 further asks to identify the textual span for each instance of each technique that is present in the tweet; the task can be modeled as a sequence tagging problem.