The emergence of various social networks has generated vast volumes of data. Efficient
methods for capturing, distinguishing, and filtering real and fake news are becoming …

Crowdsourcing enables one to leverage on the intelligence and wisdom of potentially large
groups of individuals toward solving problems. Common problems approached with …

False or unverified information spreads just like accurate information on the web, thus
possibly going viral and influencing the public opinion and its decisions. Fake news and …

In recent years, the reliability of information on the Internet has emerged as a crucial issue of
modern society. Social network sites (SNSs) have revolutionized the way in which …

As an effective way to solicit useful information from the crowd, crowdsourcing has emerged
as a popular paradigm to solve challenging tasks. However, the data provided by the …

Human Intelligence Tasks (HITs) allow people to collect and curate labeled data from
multiple annotators. Then labels are often aggregated to create an annotated dataset …

Crowdsourcing has recently been significantly explored. Although related surveys have
been conducted regarding this subject, each has mainly consisted of a review of a single …

There are two problems in the traditional crowdsourcing systems for handling complex tasks.
First, decomposing complex tasks into a set of micro-subtasks requires the decomposition …

Mobile crowd sensing has emerged as an appealing paradigm to provide sensing data for
its efficient economy. A large number of incentive mechanisms has been proposed for …

Misinformation has become an important part of society, especially with the increase in fake
news. This thesis investigates how using contextual and network data may be used as a …