[PDF][PDF] Fake news: A survey of research, detection methods, and opportunities
X Zhou, R Zafarani - arXiv preprint arXiv:1812.00315, 2018 - academia.edu
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 …
Fake reviews detection: A survey
In e-commerce, user reviews can play a significant role in determining the revenue of an
organisation. Online users rely on reviews before making decisions about any product and …
organisation. Online users rely on reviews before making decisions about any product and …
Detecting opinion spams and fake news using text classification
In recent years, deceptive content such as fake news and fake reviews, also known as
opinion spams, have increasingly become a dangerous prospect for online users. Fake …
opinion spams, have increasingly become a dangerous prospect for online users. Fake …
Rev2: Fraudulent user prediction in rating platforms
Rating platforms enable large-scale collection of user opinion about items (eg, products or
other users). However, untrustworthy users give fraudulent ratings for excessive monetary …
other users). However, untrustworthy users give fraudulent ratings for excessive monetary …
A review of natural language processing techniques for opinion mining systems
S Sun, C Luo, J Chen - Information fusion, 2017 - Elsevier
As the prevalence of social media on the Internet, opinion mining has become an essential
approach to analyzing so many data. Various applications appear in a wide range of …
approach to analyzing so many data. Various applications appear in a wide range of …
Detecting health misinformation in online health communities: Incorporating behavioral features into machine learning based approaches
Curbing the diffusion of health misinformation on social media has long been a public
concern since the spread of such misinformation can have adverse effects on public health …
concern since the spread of such misinformation can have adverse effects on public health …
A framework for big data analytics in commercial social networks: A case study on sentiment analysis and fake review detection for marketing decision-making
User-generated content about brands is an important source of big data that can be
transformed into valuable information. A huge number of items are reviewed and rated by …
transformed into valuable information. A huge number of items are reviewed and rated by …
Collective opinion spam detection: Bridging review networks and metadata
Online reviews capture the testimonials of" real" people and help shape the decisions of
other consumers. Due to the financial gains associated with positive reviews, however …
other consumers. Due to the financial gains associated with positive reviews, however …
Survey of review spam detection using machine learning techniques
M Crawford, TM Khoshgoftaar, JD Prusa, AN Richter… - Journal of Big Data, 2015 - Springer
Online reviews are often the primary factor in a customer's decision to purchase a product or
service, and are a valuable source of information that can be used to determine public …
service, and are a valuable source of information that can be used to determine public …
Network-based fake news detection: A pattern-driven approach
X Zhou, R Zafarani - ACM SIGKDD explorations newsletter, 2019 - dl.acm.org
Fake news gains has gained significant momentum, strongly motivating the need for fake
news research. Many fake news detection approaches have thus been proposed, where …
news research. Many fake news detection approaches have thus been proposed, where …