Propaganda detection

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

1 dataset whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

2 subtasks in the archive's task tree.

Most implemented papers archive 2025-07-28

15 shown of 15 papers with code (61 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Large Language Models for Propaganda Detection
  10 Oct 2023 2 repositories listed
  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.
• Semi-supervised Stance Detection of Tweets Via Distant Network Supervision
  3 Jan 2022 2 repositories listed
  Detecting and labeling stance in social media text is strongly motivated by hate speech detection, poll prediction, engagement forecasting, and concerted propaganda detection.
• MemeMind at ArAIEval Shared Task: Spotting Persuasive Spans in Arabic Text with Persuasion Techniques Identification
  8 Aug 2024 1 repository listed
  Then, we used AraBERT-base pre-trained model for Arabic text tokenization and embeddings with a token classification layer to identify propaganda techniques.
• Large Language Models for Propaganda Span Annotation
  16 Nov 2023 1 repository listed
  Finally, we examine the effectiveness of labels provided by GPT-4 in training smaller language models for the task.
• Detecting Propaganda Techniques in Code-Switched Social Media Text
  23 May 2023 1 repository listed
  Yet, it is common to find a mix of multiple languages in social media communication, a phenomenon known as code-switching.
• HQP: A Human-Annotated Dataset for Detecting Online Propaganda
  28 Apr 2023 1 repository listed
  (2) We show empirically that state-of-the-art language models fail in detecting online propaganda when trained with weak labels (AUC: 64.
• Robust and Explainable Identification of Logical Fallacies in Natural Language Arguments
  12 Dec 2022 1 repository listed
  Our three-stage framework natively consolidates prior datasets and methods from existing tasks, like propaganda detection, serving as an overarching evaluation testbed.
• IITD at the WANLP 2022 Shared Task: Multilingual Multi-Granularity Network for Propaganda Detection
  31 Oct 2022 1 repository listed
  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.
• ProtoTEx: Explaining Model Decisions with Prototype Tensors
  11 Apr 2022 1 repository listed
  We present ProtoTEx, a novel white-box NLP classification architecture based on prototype networks.
• Dataset of Propaganda Techniques of the State-Sponsored Information Operation of the People's Republic of China
  14 Jun 2021 1 repository listed
  The digital media, identified as computational propaganda provides a pathway for propaganda to expand its reach without limit.
• YNU-HPCC at SemEval-2020 Task 11: LSTM Network for Detection of Propaganda Techniques in News Articles
  24 Aug 2020 1 repository listed Syntology ran 0 of 2 samples · 2 unverified
  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.
• UTMN at SemEval-2020 Task 11: A Kitchen Solution to Automatic Propaganda Detection
  22 Aug 2020 1 repository listed
  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
  22 Aug 2020 1 repository listed
  This paper describes our participation in the SemEval-2020 task Detection of Propaganda Techniques in News Articles.
• Cost-Sensitive BERT for Generalisable Sentence Classification with Imbalanced Data
  16 Mar 2020 1 repository listed
  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.
• Towards Detection of Subjective Bias using Contextualized Word Embeddings
  16 Feb 2020 1 repository listed
  Subjective bias detection is critical for applications like propaganda detection, content recommendation, sentiment analysis, and bias neutralization.

Syntology lines on 1 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.