Deception Detection in Online Media
Russian Federation and European Union are fighting against fake news together with other countries in various topics. The disinformation affected British referendum of existing EU, the US election and Catalonia’s referendum are broadly studied. A need for automated factchecking increases, European Commission’s Action Plan 8 is an evidence. In this work, we develop a model for detecting disinformation in Russian language in online media. We use reliable and unreliable sources to compare named entities and verbs extracted using DeepPavlov library. Our method shows four time greater recall compared to chosen baseline.