In this article we describe our experiences with computational text analysis involving rich
social and cultural concepts. We hope to achieve three primary goals. First, we aim to shed …

Abstract Machine translation (MT) technology has facilitated our daily tasks by providing
accessible shortcuts for gathering, processing, and communicating information. However, it …

Purpose The purpose of this study is to identify, analyze and explain the ethical implications
that can result from the datafication of service. Design/methodology/approach This study …

Correctly resolving textual mentions of people fundamentally entails making inferences
about those people. Such inferences raise the risk of systematic biases in coreference …

According to the World Bank, a key factor to poverty reduction and improving prosperity is
financial inclusion. Financial service providers (FSPs) offering financially-inclusive solutions …

AI-based technology has achieved many great things, such as facial recognition, medical
diagnosis, and selfdriving cars. AI promises enormous benefits for economic growth, social …

The deployment of large language models (LLMs) in healthcare has demonstrated
substantial potential for enhancing clinical decision-making, administrative efficiency, and …

Cross-document event coreference resolution (CDCR) is an NLP task in which mentions of
events need to be identified and clustered throughout a collection of documents. CDCR …

Differences in language use between men and women have been studied intensely. We
take stock of the findings and venture into less charted territory. First, we broaden the scope …

This article combines humanistic “data critique” with informed inspection of big data
analysis. It measures gender bias when gender prediction software tools (Gender API …