This research demonstrates that fake news can be effectively detected using only limited portions of article text, challenging the assumption that more information is always better.

• Detection accuracy using only headlines and lead paragraphs approaches performance of full-text models
• Efficiency-accuracy tradeoff shows diminishing returns for additional text analysis
• Early detection capabilities allow for faster intervention before misinformation spreads
• Performance remains robust across multiple datasets and detection techniques

For security professionals, this enables more resource-efficient misinformation monitoring and rapid response capabilities, potentially reducing computational costs while maintaining effectiveness.

Is Less Really More? Fake News Detection with Limited Information