Leveraging ChatGPT for Semantic Analysis of TED Talks on Data Privacy and Security in Society

In the digital age, concerns about data privacy and security are grounded in messages emanating from social media. TED Talks, a renowned platform for disseminating ideas, have been a significant source of insight into these issues. Our research aimed to analyze 137 TED Talks focusing on data privacy and digital security, using a research methodology involving ChatGPT for summarization and semantic analysis to ensure fidelity to the original content. This study, confined to English-language videos, sought to distill the key messages, recommendations, and risks communicated by experts in the field. By employing artificial intelligence for initial data processing, we could efficiently synthesize large volumes of information, thereby highlighting prevalent themes and concerns in data privacy and security. The present work details the methods of data extraction, AI-assisted summarization using ChatGPT, and subsequent semantic analysis, ensuring that the summarized content accurately reflects the original video transcriptions. Moreover, a sentiment analysis of the validated videos is presented. Our findings demonstrate the efficacy of AI-assisted qualitative research in understanding complex societal issues.