Lukas Schiesser

Schiesser, Lukas

Schiesser

Lukas

Lukas Schiesser

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Uncovering cross-platform spreading patterns of fake news about COVID-19
(2023) Schiesser, Lukas; Witschel, Hans Friedrich; de la Harpe, Andre; Hinkelmann, Knut; Gerber, Aurona
The spreading of fake news or misinformation on social media is a serious threat to modern societies, making more and more people susceptible to being unfairly influenced in their decision-making, be it in elections or other democratic processes. We contribute to the body of work in the area of fake news detection by studying cross-platform, multivariate spreading patterns of fake news on Covid-19-related topics – where existing studies have focused strongly on single platforms and/or on single metrics or indicators. Our findings show that there are several attributes that are specific to the cross-platform spreading process that become important predictors of fake news: there is e.g. a clear tendency that fake news travels faster from one platform to the other than real news. Meanwhile, although we have compiled a cross-platform corpus of fake and real news that future research may build on, data availability remains a challenge for future work.
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