[PDF][PDF] Fake news: A survey of research, detection methods, and opportunities
arxiv:1812.00315v1 [cs.CL] 2 Dec 2018 Page 1 Fake News: A Survey of Research,
Detection Methods, and Opportunities XINYI ZHOU, Syracuse University, USA REZA …
Detection Methods, and Opportunities XINYI ZHOU, Syracuse University, USA REZA …
The psychological meaning of words: LIWC and computerized text analysis methods
We are in the midst of a technological revolution whereby, for the first time, researchers can
link daily word use to a broad array of real-world behaviors. This article reviews several …
link daily word use to a broad array of real-world behaviors. This article reviews several …
[HTML][HTML] Why do consumers buy impulsively during live streaming? A deep learning-based dual-stage SEM-ANN analysis
The power of livestreaming commerce to rake in billions of revenues within hours has thrust
this nascent commercial model into the global spotlight; that said, despite the prevalence of …
this nascent commercial model into the global spotlight; that said, despite the prevalence of …
Uniting the tribes: Using text for marketing insight
Words are part of almost every marketplace interaction. Online reviews, customer service
calls, press releases, marketing communications, and other interactions create a wealth of …
calls, press releases, marketing communications, and other interactions create a wealth of …
The web of false information: Rumors, fake news, hoaxes, clickbait, and various other shenanigans
A new era of Information Warfare has arrived. Various actors, including state-sponsored
ones, are weaponizing information on Online Social Networks to run false-information …
ones, are weaponizing information on Online Social Networks to run false-information …
TI-CNN: Convolutional neural networks for fake news detection
With the development of social networks, fake news for various commercial and political
purposes has been appearing in large numbers and gotten widespread in the online world …
purposes has been appearing in large numbers and gotten widespread in the online world …
Separating facts from fiction: Linguistic models to classify suspicious and trusted news posts on twitter
Pew research polls report 62 percent of US adults get news on social media (Gottfried and
Shearer, 2016). In a December poll, 64 percent of US adults said that “made-up news” has …
Shearer, 2016). In a December poll, 64 percent of US adults said that “made-up news” has …
[HTML][HTML] Earnings management and annual report readability
We explore how the readability of annual reports varies with earnings management. Using
the Fog Index to measure readability (Li, 2008), and focusing on the management …
the Fog Index to measure readability (Li, 2008), and focusing on the management …
[KNIHA][B] Automated evaluation of text and discourse with Coh-Metrix
Coh-Metrix is among the broadest and most sophisticated automated textual assessment
tools available today. Automated Evaluation of Text and Discourse with Coh-Metrix …
tools available today. Automated Evaluation of Text and Discourse with Coh-Metrix …
[KNIHA][B] Sentiment analysis and opinion mining
B Liu - 2022 - books.google.com
Sentiment analysis and opinion mining is the field of study that analyzes people's opinions,
sentiments, evaluations, attitudes, and emotions from written language. It is one of the most …
sentiments, evaluations, attitudes, and emotions from written language. It is one of the most …