Exploring the Accuracy of Machine Learning in Detecting Fake News

Detecting Fake Websites Using Swarm Intelligence Mechanism in Human Learning

The internet and its various services have made users to easily communicate with each other. Internet benefits including online business and e-commerce. E-commerce has boosted online sales and online auction types. Despite their many uses and benefits, the internet and their services have various challenges, such as information theft, which challenges the use of these services. Information thef...

Detecting Fake News in Social Networks via Crowdsourcing

Our work considers leveraging crowd signals for detecting fake news and is motivated by tools recently introduced by Facebook that enable users to flag fake news. By aggregating users’ flags, our goal is to select a small subset of news every day, send them to an expert (e.g., via a third-party factchecking organization), and stop the spread of news identified as fake by an expert. The main obj...

Optimal Signaling of Content Accuracy: Likes vs. Fake News

We study the tradeoff between user engagement and misinformation faced by an online social networking platform. The content available on the platform is possibly erroneous. Agents decide whether to engage with the content based on their direct satisfaction from engaging, the disutility from engaging with erroneous content, and the positive externality that they derive from engaging with the sam...

the effect of learning strategies on the speaking ability of iranian students in the context of language institutes

the effect of learning strategies on the speaking ability of iranian students in the context of language institutes abstract language learning strategies are of the most important factors that help language learners to learn a foreign language and how they can deal with the four language skills specifically speaking skill effectively. acknowledging the great impact of learning strategies...

The Economics of "Fake News"