An experimental technique on fake news detection in online social media

Abstract

Social media is a double-edged sword for news consumption. On the one side, its low price, simple access and fast data dissemination lead individuals to search and consume social media news. On the otherT side,T thisT isT allowsT theT wideT disseminationT ofT \fakeT news,T.T lowT qualityT newsT withT intentionallyT falseT information.T TheT widespreadT disseminationT ofT falseT newsT hasT theT abilityT toT impactT peopleT and society highly negatively… Therefore, the detection of false news in recently, social media has become a studyT thatT attractsT tremendousT attention.T FalseT newsT ofT DetectionT UniqueT inT theT socialT mediaT featuresT andT difficultiesT thatT makeT algorithmsT availableT forT detectionT ofT traditionalT IneffectiveT orT non-applicableT media.T First,T theT falseT newsT isT deliberatelyT writtenT toT deceiveT readersT intoT believingT falseT dataT andT information,T makingT itT tT dissectsT andT notT trivialT inT orderT toT detectT newsT content,T weT needT toT includeT informationT Auxiliary,T asT theT socialT commitmentsT ofT usersT inT helpingT toT createT aT determinationT forT socialT media.T Second,T thisT extraT dataT andT informationT isT challengingT inT andT ofT itselfT socialT commitmentsT ofT theT usersT withT falseT newsT produceT dataT whichT areT large,T incomplete,T unstructuredT andT that’sT loud.T BecauseT theT issueT ofT identifyingT fakeT newsT inT socialT mediaT isT bothT difficultT andT meaningful,T weT performedT thisT studyT toT promoteT furtherT researchT intoT theT issue..T ThisT studyT providesT aT thoroughT overviewT ofT theT detectionT ofT fakeT socialT mediaT news,T includingT fakeT psychologicalT andT socialT theoryT newsT characteristics,T currentT informationT miningT algorithms,T assessmentT metricsT andT representativeT datasetsT weT alsoT addressT associatedT fieldsT ofT studies,T openT issuesT andT futureT directionsT forT theT detectionT ofT fakeT newsT onT socialT media.T We also discuss related research areas, open problems, and future research directions for fake news detection on social media.