Abstract Machine learning is recently used to detect hate speech and other forms of abusive
language in online platforms. However, a notable weakness of machine learning models is …

This article presents a comparative analysis of the potential of two large language model
(LLM)-based chatbots—ChatGPT and Bing Chat (recently rebranded to Microsoft Copilot) …

This chapter gives an overview of the area of explanations in recommender systems. We
approach the literature from the angle of evaluation: that is, we are interested in what makes …

Social media plays an important role in facilitating conversations and news dissemination.
Specifically, Twitter has recently seen use by investors to facilitate discussions surrounding …

News bias is difficult for humans to identify, but even more so for machines. This is largely
due to the lack of linguistically appropriate annotated datasets suitable for use by classifier …

Studies on supervised machine learning (ML) recommend involving workers from various
backgrounds in training dataset labeling to reduce algorithmic bias. Moreover, sophisticated …

Abstract Knowledge is power. Knowledge about human psychology is increasingly being
produced using natural language processing (NLP) and related techniques. The power that …

Investments made on the stock market depend on timely and credible information being
made available to investors. Such information can be sourced from online news articles …

Bias in the data always affects the performance of the system. Our need of finding the
accurate results in a system using any Machine Learning algorithms will be degraded when …