Recent advances in text mining have provided new methods for capitalizing on the
voluminous natural language text data created by organizations, their employees, and their …

This paper develops a unified framework to synthesize the growing stream of positive
research on the role of individual decision makers in sha** observed accounting …

The social and behavioral sciences have been increasingly using automated text analysis to
measure psychological constructs in text. We explore whether GPT, the large-language …

Social media influencers have become a more effective modern marketing approach used
by businesses to influence consumers' intention and attitude. This study explores this …

Matching the language or content of a message to the psychological profile of its recipient
(known as “personalized persuasion”) is widely considered to be one of the most effective …

The advent of large language models (LLMs) has revolutionized natural language
processing, enabling the generation of coherent and contextually relevant text. As LLMs …

Many of the world's leading brands and increasingly government agencies are using
intelligent agent technologies, also known as chatbots to interact with consumers. However …

Throughout history, scholars and laypeople alike have believed that our words contain
subtle clues about what we are like as people, psychologically speaking. However, the ways …

The study aims to understand Twitter users' discourse and psychological reactions to COVID-
19. We use machine learning techniques to analyze about 1.9 million Tweets (written in …

Improved understanding of human-nature interactions is crucial to conservation science and
practice, but collecting relevant data remains challenging. Recently, social media have …