fake news
It is all Fake News! But what exactly is "fake news"? : An explorative study on the definitions of "fake news" and why news consumers perceive a news article as "fake news"
... “fake news” (McCrummen, Reinhard & Crites, ...“fake news” and its usage, it appears the term “fake news” is used for multiple reasons: from discrediting journalism to stating ...
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An Unique Approach For Detection of Fake News using Machine Learning
... Further we perform extraction and feature selection using python libraries along with algorithms like “simple bag of words” , “n- gram “ and then tf-idf(term frequency–inverse document frequency). We could use POS ...
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Unsupervised Fake News Detection on Social Media: A Generative Approach
... on fake news detection is mostly based on supervised ...including news content (Wang 2017), user profiles (Castillo, Mendoza, and Poblete 2011), message propagation (Wu and Liu 2018), and social ...
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Belittling the Source: Trustworthiness Indicators to Obfuscate Fake News on the Web
... of fake-news online has been proliferat- ing every ...detect fake-news is to have access to a credibility score for a given infor- mation ...
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Fake News Detection using Deep Markov Random Fields
... detecting fake news on social media. While the corre- lations among news articles have been shown to be effective cues for online news analy- sis, existing deep-learning-based methods of- ten ...
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Learning Hierarchical Discourse level Structure for Fake News Detection
... for fake news detection is ...in fake news detection and discovered that the way two discourse units of a document are connected could be quite revealing and insightful about its ...that ...
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Sentiment aware fake news detection on online social networks
... the fake news classifier models were our focus on using emotional words in the classification feature set gave better results over the state of the art which used the same dataset [5] and ...
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Towards Automatic Fake News Detection: Cross Level Stance Detection in News Articles
... In recent years, several efforts have been made by the research community toward the automati- zation of some of these stages, in order to pro- vide effective tools to enhance the performance of human journalists in ...
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"Fake News" and the Sociological Imagination: Theory Informs Practice
... The sociological imagination gives us a way to think broadly about why so many individuals were exposed to and susceptible to believing fake news. At the same time, it un- derscores the need for a critical ...
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Exploring the Insights on Fake News Detection on Social Media
... Fake news detection has become a central research topic in the news industry due to the need of assessing the veracity of digital content over the constant spread of false information ...
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Stance Detection in Fake News A Combined Feature Representation
... From an NLP perspective, many approaches pro- posed to employ statistical (Magdy and Wanas, 2010), linguistic (Markowitz and Hancock, 2014; Volkova et al., 2017), and stylistic (Potthast et al., 2017) features. Other ...
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Optimal structure of groups under exposure to fake news
... of fake news, meanwhile we omit psychological fac- tors such as confirmation bias or desirability ...to fake news, specialization with respect to information spreading activity among the ...
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Fakebook: why Facebook makes the fake news problem inevitable
... produce fake news, whilst distribution is largely ...share fake news are not part of a secret conspiracy, they are just using social media as it is intended to be used: sharing links and ...
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Fake News, Political Narrative, & Social Media: A Structuration Approach
... As the above article analyses seem to suggest a link between fake news authorship and readership. Articles are being drafted with particular narratives and demographics in mind, and not at random. Thus, the ...
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Something Real about Fake News: The Role of Polarization and Mindfulness
... Moreover, fake news headlines are typically designed to trigger emotional reactions or to surprise readers ...a news story immediately – by reducing the readers willingness and ability to question ...
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The impacts of fake news on peace and development in the world: the case study of ethiopia
... The news about the unrest in Ethiopia in autumn 2016 was manipulated, ...was fake news. But what is fake news? Fake news means false news, lie, deceive, cheating, ...
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Fake News Detection using Convolution Neural Network in Deep Learning
... ‘Fake news detection’ is to classify the news article into certain or ...of fake news using various models and classifiers and predict the accuracy of different models and ...the ...
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Fake news identification on Twitter with hybrid CNN and RNN models
... either fake or from unsubstantiated sources ...and fake news from the news feed on the world's largest social media platform ...of fake news on the platform might have helped ...
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BREAKING! Presenting Fake News Corpus for Automated Fact Checking
... Fake news detection is a complicated topic fraught with many difficulties such as freedom of expres- sion, confirmation bias and different types of dis- semination ...automated fake news ...
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Fake News Detection Through Multi Perspective Speaker Profiles
... of fake news detection algorithms try to linguistic cues (Feng and Hirst, 2013; Markowitz and Hancock, 2014; Ruchansky et ...on fake news de- tection have demonstrated the effectiveness of ...
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