In the last decade, the use of Data Sciences, which facilitate decision-making and extraction
of actionable insights and knowledge from large datasets in the digital marketing …

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 …

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 …

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 …

This paper proposes a methodology for conducting importance-performance analysis (IPA)
through online reviews. The methodology is composed of three stages:(1) mining useful …

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 …

The value and credibility of online consumer reviews are compromised by significantly
increasing yet difficult-to-identify fake reviews. Extant models for automated online fake …

In the Social Web scenario, where large amounts of User Generated Content diffuse through
Social Media, the risk of running into misinformation is not negligible. For this reason …

Fake consumer review detection has attracted much interest in recent years owing to the
increasing number of Internet purchases. Existing approaches to detect fake consumer …

Clickbaits are articles with misleading titles, exaggerating the content on the landing page.
Their goal is to entice users to click on the title in order to monetize the landing page. The …