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Dynamics of (mis)information flow and engaging power of narratives. (arXiv:2207.12264v2 [physics.soc-ph] UPDATED)
Nov. 9, 2022, 2:12 a.m. | Emanuele Brugnoli, Marco Delmastro
cs.LG updates on arXiv.org arxiv.org
The debate around misinformation and its potentially detrimental effects on
public opinion is complex and multifaceted, to the extent that even the
relevant academic research has not found unanimity on the prevalence and
consumption of misinformation compared with mainstream content. The
methodological framework presented here emphasises the importance of
considering data representative of the complexity of the phenomenon and metrics
that control for possible scale effects. By combining statistical, econometric
and machine learning models, we shed light on the real …
More from arxiv.org / cs.LG updates on arXiv.org
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