The iusage iof isocial imedia ifor inews iconsumption iis iprogressively igrowing idue ito iits iaccessibility, low icost, iincreased iattractiveness, iand icapacity ito idisseminate i"false inews."Fake iinformation deliberately icreated iis ipurposefullyior iunintentionally icreated iover ithe iinternet.iSome ipeople ispread wrong iinformation ion isocial imedia ito iget ithe iattention ior ifinancial iand ipolitical igain.iThis iis affecting ia ilarger igroup iof isociety iwho iare iblind iby itechnology.iWe ineed ito ibe ismarter iat ithe recognition iof ifake ior ireal inews.iIn ithis iresearch iwe ihave iimplemented iLinguistic iInquiry iwith Syllable iPattern iof iWord i(LISPW) ifeature iset ifor idetection iof ifake inews ibased ionConvolutional neural inetwork i(CNN).iThe iLinguistic ifeatures iinvolved icertain itextual icharacteristics iconverted iinto a inumerical iform isuch ithat ithey ican ibe iused ias ian iinput ifor ithe itraining imodels.iTensorflow iis used ifor iimplementation iof ithe iproposed iframework iand iprovides ivisualizations ifor ithe CNN.iConfusion imatrix iand iclassification ireports iare ivalidated iand iachieved iaccuracy iscore iof i98% by iusing iLinguistic iInquiry iwith iSyllable iPattern iof iWord.iAlso, ito icheck ithe iheadline ior ifact iof the inews, ia imodule iis ideveloped ito icheck ifor icontradiction ibetween iinputted inews iand iweb scraped news irelated ito iit.