Welcome to Social Signals, the podcast that bridges the gap between cutting-edge digital research and social science! Each episode dives deep into the world of data-driven methodologies, unpacking how social phenomena are analyzed and understood through the lens of digital tools and technologies. Whether you’re curious about how algorithms influence public opinion, want to explore the ethical implications of big data in social research, or wish to understand how digital ethnography reshapes cultural studies, Social Signals brings you insights and discussions with unique researchers.

Welcome to Social Signals, the podcast that bridges the gap between cutting-edge digital research and social science! Each episode dives deep into the world of data-driven methodologies, unpacking how social phenomena are analyzed and understood through the lens of digital tools and technologies. Whether you’re curious about how algorithms influence public opinion, want to explore the ethical implications of big data in social research, or wish to understand how digital ethnography reshapes cultural studies, Social Signals brings you insights and discussions with unique researchers.

Social Signals

This podcast presents a narrative of the research paper titled "Unraveling Indonesian Public R&D Institutions’ Perspectives on ChatGPT: An Analytical Approach to Decoding Open-Ended Surveys Through Topic Modeling"—available for download at ⁠stipmjournal.org⁠.  The study investigates the perspectives of Indonesian public research and development (R&D) institutions on ChatGPT and other AI technologies. Through a comprehensive survey of researchers and the application of topic modeling techniques, such as Latent Dirichlet Allocation (LDA) and Principal Component Analysis (PCA), the study uncovers three major themes.

Ilmu Sosial

This podcast presents a narrative of the research paper titled "Unraveling Indonesian Public R&amp;D Institutions’ Perspectives on ChatGPT: An Analytical Approach to Decoding Open-Ended Surveys Through Topic Modeling"—available for download at <a target="_blank" rel="noopener noreferrer nofollow" class="Link-sc-k8gsk-0 czOfap sc-EhbJY bXRhbG" href="https://www.stipmjournal.org/index.php/stipm/article/view/386">⁠</a><a target="_blank" rel="noopener noreferrer nofollow" href="http://stipmjournal.org">stipmjournal.org</a><a target="_blank" rel="noopener noreferrer nofollow" class="Link-sc-k8gsk-0 czOfap sc-EhbJY bXRhbG" href="https://www.stipmjournal.org/index.php/stipm/article/view/386">⁠</a>. The study investigates the perspectives of Indonesian public research and development (R&amp;D) institutions on ChatGPT and other AI technologies. Through a comprehensive survey of researchers and the application of topic modeling techniques, such as Latent Dirichlet Allocation (LDA) and Principal Component Analysis (PCA), the study uncovers three major themes.

ChatGPT and Research: Insights from Indonesian R&D

Kreator