mlsanityData to 7 Oct 2026

FrameFinder: Explorative Multi-Perspective Framing Extraction from News Headlines

arXiv 2312.08995 ↗First posted 14 Dec 2023cs.IR cs.AI cs.CLcited by 1

Not on the map. Why?

Abstract (arXiv)

Revealing the framing of news articles is an important yet neglected task in information seeking and retrieval. In the present work, we present FrameFinder, an open tool for extracting and analyzing frames in textual data. FrameFinder visually represents the frames of text from three perspectives, i.e., (i) frame labels, (ii) frame dimensions, and (iii) frame structure. By analyzing the well-established gun violence frame corpus, we demonstrate the merits of our proposed solution to support social science research and call for subsequent integration into information interactions.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 13 of its 37 references that are in the map. First posted on arXiv 14 Dec 2023.

Builds on

13 of 37 references.

References · 13

  1. 2017Attention Is All You Needcited by 59,932
  2. 2019Sentence-BERT: Sentence Embeddings using Siamese BERT-Networkscited by 9,049
  3. 2019BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehensioncited by 5,874
  4. 2019HuggingFace's Transformers: State-of-the-art Natural Language Processingcited by 2,201
  5. 2020MPNet: Masked and Permuted Pre-training for Language Understandingcited by 973
  6. 2019Gradio: Hassle-Free Sharing and Testing of ML Models in the Wildcited by 176
  7. 2020Moral Framing and Ideological Bias of Newscited by 29
  8. 2020FrameAxis: Characterizing Microframe Bias and Intensity with Word Embeddingcited by 21
  9. 2021Characterizing Partisan Political Narrative Frameworks about COVID-19 on Twittercited by 7
  10. 2021Studying Moral-based Differences in the Framing of Political Tweetscited by 6
  11. 2023SheffieldVeraAI at SemEval-2023 Task 3: Mono and multilingual approaches for news genre, topic and persuasion technique classificationcited by 5
  12. 2023MarsEclipse at SemEval-2023 Task 3: Multi-Lingual and Multi-Label Framing Detection with Contrastive Learningcited by 2
1 more
  1. 2023mCPT at SemEval-2023 Task 3: Multilingual Label-Aware Contrastive Pre-Training of Transformers for Few- and Zero-shot Framing Detectioncited by 1

Built on by

Cited by year

Citing papers per year: 2025: 1.

1 paper.

  1. 2025A Dataset for Analysing News Framing in Chinese Mediacited by 1