Leandro Machado Oliveira, Flávio Fernando Demarco, Fabrício Batistin Zanatta
Educational inequalities and alcohol-related consequences in Brazil
Alcohol and alcoholism (Oxford, Oxfordshire)
proliferation online disinformation fake news particularly context breaking news events demands development effective detection mechanisms textual content remains predominant medium disseminating misleading information contribution modalities increasingly emerging within online outlets social media platforms however multimodal datasets incorporate diverse modalities texts images common yet especially lowresource languages study addresses gap releasing dataset tailored multimodal fake news detection italian language dataset originally employed shared task italian language dataset divided two data subsets corresponding distinct subtask subtask 1 goal assess effectiveness multimodal fake news detection systems subtask 2 aims delve interplay text images specifically analyzing modalities mutually influence interpretation content distinguishing fake real news subtasks managed classification problems dataset consists social media posts news articles collecting labeled via crowdsourcing annotators provided external knowledge topic news labeled enhancing ability discriminate fake real news data subsets subtask 1 subtask 2 consist 913 1350 items respectively encompassing newspaper articles tweets