Separating Facts from Fiction: Linguistic Models to Classify Suspicious and Trusted News Posts on Twitter
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Cites background or methods from "Separating Facts from Fiction: Ling..."
...io/en/dev/), we compute subjectivity and sentiment scores of a text as explored in previous efforts.(4)...
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...3) Psycholinguistic Features: Linguistic Inquiry and Word Count (LIWC)(8) is a dictionarybased text mining software whose output has been explored in many classification tasks, including fake news detection.(4) We use its latest version (2015) to extract 44 features that capture additional signals of persuasive and biased language....
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...Not surprisingly, recent research efforts are devoted not only to better comprehend this phenomenon(1) but also to automatize the detection of fake news.(2,3,4) While a fully automated approach for the fake news problem can be quite Digital Object Identifier 10....
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280 citations
Cites background from "Separating Facts from Fiction: Ling..."
...A specific variant called Long Short-TermMemory (LSTM) [42], which alleviates some of the training difficulties in RNN, is often used due to the its ability to effectively capture long-range dependencies in the text and has been applied to fake news detection, similarly to the use of convolutional neural networks in several works [91, 117]....
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References
111,197 citations
"Separating Facts from Fiction: Ling..." refers methods in this paper
...We train our models for 10 epochs using the ADAM optimization algorithm, and evaluate them using 10 fold crossvalidation (Kingma and Ba, 2014)....
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30,558 citations
"Separating Facts from Fiction: Ling..." refers methods in this paper
...We initialize our embedding layer with pretrained GloVe embeddings (Pennington et al., 2014)....
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4,876 citations
"Separating Facts from Fiction: Ling..." refers methods in this paper
...For this we rely on the “late fusion” approach that has been shown to be effective in vision tasks (Karpathy et al., 2014; Park et al., 2016)....
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2,990 citations
"Separating Facts from Fiction: Ling..." refers background in this paper
...Moral foundation cues According to Haidt and Graham (2007); Graham et al. (2009), there is a small number of basic widely supported moral values, and people differ in the way they endorse these values....
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