TY - GEN
T1 - Leveraging ChatGPT for Semantic Analysis of TED Talks on Data Privacy and Security in Society
AU - Amo-Filva, Daniel
AU - Aguayo Mauri, Sofia
AU - Orehovački, Tihomir
AU - García-Holgado, Lucía
AU - García-Holgado, Alicia
AU - Vázquez-Ingelmo, Andrea
AU - Fonseca Escudero, David
AU - García-Peñalvo, Francisco José
AU - Donate Beby, Belén
AU - Alier, Marc
AU - Casañ, María José
N1 - Publisher Copyright:
© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
KW - ChatGPT
KW - Data Privacy
KW - Security
KW - Semantic Analysis
KW - TED Talks
UR - http://www.scopus.com/inward/record.url?scp=85215610893&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-74825-7_3
DO - 10.1007/978-3-031-74825-7_3
M3 - Conference contribution
AN - SCOPUS:85215610893
SN - 9783031748240
T3 - Lecture Notes in Networks and Systems
SP - 21
EP - 30
BT - Management, Tourism and Smart Technologies - ICMTT 2024
A2 - Rocha, Álvaro
A2 - Montenegro, Carlos
A2 - Pereira, Elisabeth T.
A2 - Victor, José A. M.
A2 - Ibarra, Waldo
PB - Springer Nature
T2 - International Conference on Management, Tourism and Technologies, ICMTT 2024
Y2 - 9 May 2024 through 11 May 2024
ER -