Cited by Unveiling Public Sentiment Towards ChatGPT: Sentiment and Thematic Analysis of X (formerly Twitter) Discourse

Unveiling Public Sentiment Towards ChatGPT: Sentiment and Thematic Analysis of X (formerly Twitter) Discourse DOI

и другие.

Опубликована: Июнь 28, 2024

As generative AI technologies like ChatGPT become increasingly integrated into various aspects of daily life, understanding public perception is crucial for guiding responsible development and ethical deployment. This study conducts a comprehensive sentiment analysis Twitter discourse, utilizing an innovative approach that integrates Plutchik’s Wheel Emotions, the NRC Word-Emotion Association Lexicon, VADER algorithm. By analyzing dataset 39,051 tweets, research aims to identify predominant emotions, intensity distribution (positive, negative, neutral), underlying themes within discourse. The findings reveal trust, anticipation, joy are most frequently expressed reflecting generally positive reception ChatGPT. Specifically, 54.4% tweets conveyed sentiments, 17.02% were 28.58% neutral. Thematic analysis, facilitated by Latent Dirichlet Allocation (LDA) Gibbs Sampling, uncovers key related ChatGPT’s potential, functionality, utility. contributes deeper attitudes towards technologies, providing valuable insights developers, policymakers, researchers in addressing ethical, practical, societal implications integration everyday life.

Язык: Английский

Examining generative AI user continuance intention based on the SOR model DOI

Tao Zhou,

Xinjie Ma

Aslib Journal of Information Management, Год журнала: 2025, Номер unknown

Опубликована: Фев. 5, 2025

Purpose The purpose of this research is to examine generative artificial intelligence (AI) user continuance intention based on the stimulus-organism-response model. Design/methodology/approach We adopted a mixed method structural equation modeling and fuzzy-set qualitative comparative analysis conduct data analysis. Findings results found that AI content quality (perceived personalization, perceived accuracy credibility) system interactivity, anthropomorphism intelligence) affect sense empowerment satisfaction, both which further determine intention. Originality/value Extant has identified effect flow, trust parasocial interaction continuance, but it seldom disclosed internal decisional process This tries fill gap, enrich extant continuance.

Язык: Английский

Процитировано

Designing AI to foster acceptance: do freedom to choose and social proof impact AI attitudes among British and Arab populations? DOI