Exploiting sparsity and statistical dependence in multivariate data fusion: an application to misinformation detection for high-impact events
With the evolution of social media, cyberspace has become the de-facto medium for users to communicate during high-impact events such as natural disasters, terrorist attacks, and periods of political unrest. However, during such high-impact events, misinformation can spread rapidly on social media,...
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Veröffentlicht in: | Machine learning 2024-04, Vol.113 (4), p.2183-2205 |
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