An overview of online fake news: Characterization, detection, and discussion
X Zhang, AA Ghorbani - Information Processing & Management, 2020 - Elsevier
Over the recent years, the growth of online social media has greatly facilitated the way
people communicate with each other. Users of online social media share information …
people communicate with each other. Users of online social media share information …
Fake news detection on social media: A data mining perspective
Social media for news consumption is a double-edged sword. On the one hand, its low cost,
easy access, and rapid dissemination of information lead people to seek out and consume …
easy access, and rapid dissemination of information lead people to seek out and consume …
Linguistic feature based learning model for fake news detection and classification
A Choudhary, A Arora - Expert Systems with Applications, 2021 - Elsevier
Social media is used as a dominant source of news distribution among users. The world's
preeminent decisions such as politics are acclaimed by social media to influence users for …
preeminent decisions such as politics are acclaimed by social media to influence users for …
Understanding user profiles on social media for fake news detection
Consuming news from social media is becoming increasingly popular nowadays. Social
media brings benefits to users due to the inherent nature of fast dissemination, cheap cost …
media brings benefits to users due to the inherent nature of fast dissemination, cheap cost …
A survey on trustworthy recommender systems
Recommender systems (RS), serving at the forefront of Human-centered AI, are widely
deployed in almost every corner of the web and facilitate the human decision-making …
deployed in almost every corner of the web and facilitate the human decision-making …
[HTML][HTML] A comprehensive survey of fake news in social networks: Attributes, features, and detection approaches
The explosion of online social networks in recent decades has significantly improved in
which the way individuals communicate with one another. People trust social networks …
which the way individuals communicate with one another. People trust social networks …
Studying fake news via network analysis: detection and mitigation
Social media is becoming increasingly popular for news consumption due to its easy
access, fast dissemination, and low cost. However, social media also enables the wide …
access, fast dissemination, and low cost. However, social media also enables the wide …
Deeplink: A deep learning approach for user identity linkage
The typical aim of User Identity Linkage (UIL) is to detect when users from across different
social platforms are actually one and the same individual. Existing efforts to address this …
social platforms are actually one and the same individual. Existing efforts to address this …
Graph embedding for recommendation against attribute inference attacks
In recent years, recommender systems play a pivotal role in helping users identify the most
suitable items that satisfy personal preferences. As user-item interactions can be naturally …
suitable items that satisfy personal preferences. As user-item interactions can be naturally …
Comprehensive privacy analysis on federated recommender system against attribute inference attacks
In recent years, recommender systems are crucially important for the delivery of
personalized services that satisfy users' preferences. With personalized recommendation …
personalized services that satisfy users' preferences. With personalized recommendation …