Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
[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 future of false information detection on social media: New perspectives and trends
The massive spread of false information on social media has become a global risk, implicitly
influencing public opinion and threatening social/political development. False information …
influencing public opinion and threatening social/political development. False information …
False information on web and social media: A survey
False information can be created and spread easily through the web and social media
platforms, resulting in widespread real-world impact. Characterizing how false information …
platforms, resulting in widespread real-world impact. Characterizing how false information …
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 …
Sentiment analysis: Mining opinions, sentiments, and emotions
J Zhao, K Liu, L Xu - 2016 - direct.mit.edu
With the increasing development of Web 2.0, such as social media and online businesses,
the need for perception of opinions, attitudes, and emotions grows rapidly. Sentiment …
the need for perception of opinions, attitudes, and emotions grows rapidly. Sentiment …
Gcn-based user representation learning for unifying robust recommendation and fraudster detection
In recent years, recommender system has become an indispensable function in all e-
commerce platforms. The review rating data for a recommender system typically comes from …
commerce platforms. The review rating data for a recommender system typically comes from …
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 …
Graph based anomaly detection and description: a survey
Detecting anomalies in data is a vital task, with numerous high-impact applications in areas
such as security, finance, health care, and law enforcement. While numerous techniques …
such as security, finance, health care, and law enforcement. While numerous techniques …
Network-based fake news detection: A pattern-driven approach
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 …
Survey of review spam detection using machine learning techniques
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 …