mlsanityData to 7 Oct 2026

LiveFC: A System for Live Fact-Checking of Audio Streams

arXiv 2408.07448 ↗First posted 14 Aug 2024cs.CL cs.AIcited by 5

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Abstract (arXiv)

The advances in the digital era have led to rapid dissemination of information. This has also aggravated the spread of misinformation and disinformation. This has potentially serious consequences, such as civil unrest. While fact-checking aims to combat this, manual fact-checking is cumbersome and not scalable. While automated fact-checking approaches exist, they do not operate in real-time and do not always account for spread of misinformation through different modalities. This is particularly important as proactive fact-checking on live streams in real-time can help people be informed of false narratives and prevent catastrophic consequences that may cause civil unrest. This is particularly relevant with the rapid dissemination of information through video on social media platforms or other streams like political rallies and debates. Hence, in this work we develop a platform named LiveFC, that can aid in fact-checking live audio streams in real-time. LiveFC has a user-friendly interface that displays the claims detected along with their veracity and evidence for live streams with associated speakers for claims from respective segments. The app can be accessed at http://livefc.factiverse.ai and a screen recording of the demo can be found at https://bit.ly/3WVAoIw.

Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). Builds on 21 of its 34 references that are in the map. First posted on arXiv 14 Aug 2024.

Builds on

21 of 34 references.

References · 21

  1. 2019Sentence-BERT: Sentence Embeddings using Siamese BERT-Networkscited by 9,049
  2. 2022Robust Speech Recognition via Large-Scale Weak Supervisioncited by 3,972
  3. 2019Unsupervised Cross-lingual Representation Learning at Scalecited by 3,907
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  5. 2015A large annotated corpus for learning natural language inferencecited by 1,837
  6. 2018FEVER: a large-scale dataset for Fact Extraction and VERificationcited by 1,362
  7. 2021A Survey on Automated Fact-Checkingcited by 376
  8. 2023FacTool: Factuality Detection in Generative AI -- A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarioscited by 247
  9. 2019pyannote.audio: neural building blocks for speaker diarizationcited by 175
  10. 2021Automated Fact-Checking for Assisting Human Fact-Checkerscited by 144
  11. 2023AVeriTeC: A Dataset for Real-world Claim Verification with Evidence from the Webcited by 144
  12. 2022End-to-End Multimodal Fact-Checking and Explanation Generation: A Challenging Dataset and Modelscited by 105
9 more
  1. 2021X-FACT: A New Benchmark Dataset for Multilingual Fact Checkingcited by 90
  2. 2021End-to-end speaker segmentation for overlap-aware resegmentationcited by 76
  3. 2020Fighting the COVID-19 Infodemic: Modeling the Perspective of Journalists, Fact-Checkers, Social Media Platforms, Policy Makers, and the Societycited by 72
  4. 2023Multimodal Automated Fact-Checking: A Surveycited by 51
  5. 2023Fin-Fact: A Benchmark Dataset for Multimodal Financial Fact Checking and Explanation Generationcited by 25
  6. 2020BRENDA: Browser Extension for Fake News Detectioncited by 20
  7. 2021The Role of Context in Detecting Previously Fact-Checked Claimscited by 17
  8. 2021Overlap-aware low-latency online speaker diarization based on end-to-end local segmentationcited by 14
  9. 2024FactCheck Editor: Multilingual Text Editor with End-to-End fact-checkingcited by 12

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 2; 2026: 3.

5 papers.