Speech Act in the Joe Rogan Experience Podcast: OPENAI CEO on Artificial intelligence Changing Society

Abstrak

This study aims to analyze the speech acts that appear in the Joe Rogan Experience podcast, specifically in the episode featuring OpenAI CEO, Sam Altman. This study applies J.L. Austin's speech act theory and John Searle's speech act classification to identify and analyze the types of speech acts used in the conversation. This study's main focus is to classify utterances according to Searle's five illocutionary categories: assertive, directive, expressive, commissive, and declarative. The data were obtained from the full transcript of the podcast episode and analyzed using Miles and Huberman’s flow analysis model. The results showed that out of 70 utterances identified, 53 were categorized as assertive, 6 as directive, 9 as expressive and 2 as commissive. In addition to identifying illocutionary acts, this study also explores the perlocutionary effects resulting from Altman's statements. These effects, analyzed through Bach and Harnish theory, examine the cognitive, emotional, and behavioral responses from the listener (Joe Rogan). The findings suggest that Altman’s statements significantly influence Rogan's thoughts, emotions, and potential actions during the conversation. This research contributes to the field of speech act studies, particularly in technology-focused discussions, and offers insights for professionals in technology communication on effectively conveying complex information through language.

Kata kunci

• Speech acts
• illocutionary acts
• perlocutionary effects
• podcasts