The Rise of Guardians

Abstract

A large body of research work and efforts have been focused on detecting fake news and building online fact-check systems in order to debunk fake news as soon as possible. Despite the existence of these systems, fake news is still wildly shared by online users. It indicates that these systems may not be fully utilized. After detecting fake news, what is the next step to stop people from sharing it? How can we improve the utilization of these fact-check systems? To fill this gap, in this paper, we (i) collect and analyze online users called guardians, who correct misinformation and fake news in online discussions by referring fact-checking URLs; and (ii) propose a novel fact-checking URL recommendation model to encourage the guardians to engage more in fact-checking activities. We found that the guardians usually took less than one day to reply to claims in online conversations and took another day to spread verified information to hundreds of millions of followers. Our proposed recommendation model outperformed four state-of-the-art models by 11%∼33%. Our source code and dataset are available at

Trends in combating fake news on social media – a survey

“…In the course of evaluating their result, they noticed that the collaborative filtering method outperforms the other methods. Vo and Lee (2018) proposed a fack-checking URL recommender system to combat fake news. The motivation of the study stemmed from the effort of the so-called 'guardians' in combating fake news on social media.…”

Untitled

“…The issue of the legal nature of access to public information is the key to the development of an open system of economic potential and legal norms in the country. Public information in its essence provides the possibility of access to a citizen of the country to obtain key facts about the activities of an enterprise, organization, state policy, or strategy (Lee, 2018). In addition, to form a legal framework for access to state information, it is necessary to establish an effective mechanism for accessibility and classification.…”

Combating disinformation in a social media age

“…The fake checking articles come from sites like http://snopes.com, http://politifact.com, or http://factcheck.org. To stimulate the users to spread fact‐checked content to other users, Vo and Lee (2018) propose an article recommendation model. The model provides personalized fact‐checking URLs to each user based on their interests to encourage them to engage in fighting disinformation.…”