Online social networking sites are experimenting with the following crowd-powered
procedure to reduce the spread of fake news and misinformation: whenever a user is …

Data fusion is the process of merging records from multiple sources which represent the
same real-world object into a single representation. This review of the literature concerns …

In the era of data information explosion, there are different observations on an object (eg, the
height of the Himalayas) from different sources on the web, social sensing, crowd sensing …

Incentive mechanisms are essential for stimulating adequate worker participation to achieve
good truth discovery performance in mobile crowdsensing (MCS) systems. However, most of …

A key challenge of big data analytics is how to collect a large volume of (labeled) data.
Crowdsourcing aims to address this challenge via aggregating and estimating high-quality …

Satirical news is considered to be entertainment, but it is potentially deceptive and harmful.
Despite the embedded genre in the article, not everyone can recognize the satirical cues …

Truth inference can help solve some difficult problems of data integration in crowdsourcing.
Crowdsourced workers are not experts and their labeling ability varies greatly; therefore, in …

Drug side-effects become a worldwide public health concern, which are the fourth leading
cause of death in the United States. Pharmaceutical industry has paid tremendous effort to …

Social media sensing has emerged as a new big data application paradigm to collect
observations and claims about the measured variables in physical environment from …

Truth discovery has attracted increasingly more attention due to its ability to distill trustworthy
information from noisy multi-sourced data without any supervision. However, most existing …