Abstract: Although many fact-checking systems have been developed in academia andindustry, fake news is still proliferating on social media. These systemsmostly focus on fact-checking but usually neglect online users who are the maindrivers of the spread of misinformation. How can we use fact-checkedinformation to improve users' consciousness of fake news to which they areexposed? How can we stop users from spreading fake news? To tackle thesequestions, we propose a novel framework to search for fact-checking articles,which address the content of an original tweet (that may containmisinformation) posted by online users. The search can directly warn fake newsposters and online users (e.g. the posters' followers) about misinformation,discourage them from spreading fake news, and scale up verified content onsocial media. Our framework uses both text and images to search forfact-checking articles, and achieves promising results on real-world datasets.Our code and datasets are released at this https URL.
Abstract Although many fact-checking systems have been developed in academia and industry, fake news is still proliferating on social media. These systems mostly focus on fact-checking but usually neglect online users who are the main drivers of the spread of misinformation. Generate highly realistic fake images and videos known as “deepfakes.” Artists, pranksters, and many others have subse-quently used these techniques to create a growing collection of audio and video depicting high-profile leaders, such as Donald Trump, Barack Obama, and Vladimir Putin, saying things they never did. Welcome to New Mexico’s Online Driver History Records Service. Records provided through this online service contain the driving record history for the past 3 years only, and are copies of the official State of New Mexico driver record as provided by the New Mexico Motor Vehicles Division.
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From: Nguyen Vo [view email][v1]Wed, 7 Oct 2020 04:55:34 UTC (6,698 KB)
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