Authors: Jasraj Singh, Fang Liu, Hong Xu, Bee Chin Ng, Wei Zhang

Published on: May 07, 2024

Impact Score: 8.2

Arxiv code: Arxiv:2405.04165

Summary

• What is new: LingML integrates linguistics with machine learning for more effective fake news detection.
• Why this is important: The challenge of discerning truth from misinformation on social media with existing ML models.
• What the research proposes: LingML, a linguistic-informed ML approach, enhances fake news detection.
• Results: Achieved under two errors out of ten attempts using linguistic input, with an average error rate of 1.8% when integrated with large-scale ML models.

Technical Details

Technological frameworks used: LingML

Models used: Advanced large-scale natural language processing ML models

Data used: Popular dataset on fake news during the pandemic

Potential Impact

Social media platforms, news organizations, and misinformation detection software companies

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