Amid the proliferation of misinformation on social networks, automated rumor detection has
emerged as a pivotal and pressing research domain. Nonetheless, current methodologies …

Due to Coronavirus diseases in 2020, all the countries departed into lockdown to combat the
spread of the pandemic situation. Schools and institutions remain closed and students' …

Fake news causes a huge impact on the reader's mind, therefore it has become a major
concern. Identifying fake news or differentiating between fake and authentic news is quite …

Abstract Machine learning methods to detect fake news typically use textual features and
Binary or Multi-class classification. However, accurately labeling a large news set is still a …

Purpose Monitoring corporate credit risk (CCR) has traditionally relied on such indicators as
income, debt and inventory at a company level. These data are usually released on a …

Web search is widely used to find online medical advice. As such, health-related information
access requires retrieval algorithms capable of promoting reliable documents and filtering …

Covid-19 has resulted in an infodemic with millions of people posting their queries across
social media, forums and chatbots. The queries are found to exhibit heterogeneity with …

News headlines can be a good data source for detecting the barriers to the spreading of
news in news media, which can be useful in many real-world applications. In this study, we …

Click farming is common in online shopping. It is thus important to identify click farming and
compare its performance across different categories of online goods. To this end, we …

Nowadays, we can see how social media networks are developing. We must accept the fact
that the opinion of an expert is frequently just as valuable and crucial as that of a non-expert …