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A large body of research work and efforts have been focused on detecting fakenews and building online fact-check systems in order to debunk fake news assoon as possible. Despite the existence of these systems, fake news is stillwildly shared by online users. It indicates that these systems may not be fullyutilized. After detecting fake news, what is the next step to stop people fromsharing it? How can we improve the utilization of these fact-check systems? Tofill this gap, in this paper, we (i) collect and analyze online users calledguardians, who correct misinformation and fake news in online discussions byreferring fact-checking URLs; and (ii) propose a novel fact-checking URLrecommendation model to encourage the guardians to engage more in fact-checkingactivities. We found that the guardians usually took less than one day to replyto claims in online conversations and took another day to spread verifiedinformation to hundreds of millions of followers. Our proposed recommendationmodel outperformed four state-of-the-art models by 11%~33%. Our source code anddataset are available at https://github.com/nguyenvo09/CombatingFakeNews.

The Rise of Guardians: Fact-checking URL Recommendation to Combat Fake News