TY - JOUR
T1 - ChatGPT in the public eye
T2 - Ethical principles and generative concerns in social media discussions
AU - Cohen, Maayan
AU - Khavkin, Michael
AU - Movsowitz Davidow, Danielle
AU - Toch, Eran
N1 - Publisher Copyright:
© The Author(s) 2024.
PY - 2024
Y1 - 2024
N2 - With ChatGPT’s rapid adoption, concerns regarding generative artificial intelligence (AI) have shifted from theoretical to practical. Drawing upon the “algorithmic imaginary” framework from critical algorithm studies and the anthropological concept of “ordinary ethics,” we analyzed Twitter discourse during ChatGPT’s initial deployment, examining 368,359 tweets. Our analysis identified five topics reflecting functional and critical aspects of ChatGPT. We specifically point to two topics with a critical perspective: “Ethics” and “Concerns.” The first aligns with scholarly discussions in AI ethics on fairness and transparency, while the second focuses on ChatGPT’s generative capabilities. This highlights an emerging trend: While the academic discussion on AI ethics has gained popularity, especially in scrutinizing ChatGPT, the conversation is now expanding to more nuanced ethical deliberations. We analyzed the posts’ engagement and sentiment over time, demonstrating the AI ethics community’s influence in addressing the potential and harms of generative AI systems.
AB - With ChatGPT’s rapid adoption, concerns regarding generative artificial intelligence (AI) have shifted from theoretical to practical. Drawing upon the “algorithmic imaginary” framework from critical algorithm studies and the anthropological concept of “ordinary ethics,” we analyzed Twitter discourse during ChatGPT’s initial deployment, examining 368,359 tweets. Our analysis identified five topics reflecting functional and critical aspects of ChatGPT. We specifically point to two topics with a critical perspective: “Ethics” and “Concerns.” The first aligns with scholarly discussions in AI ethics on fairness and transparency, while the second focuses on ChatGPT’s generative capabilities. This highlights an emerging trend: While the academic discussion on AI ethics has gained popularity, especially in scrutinizing ChatGPT, the conversation is now expanding to more nuanced ethical deliberations. We analyzed the posts’ engagement and sentiment over time, demonstrating the AI ethics community’s influence in addressing the potential and harms of generative AI systems.
KW - AI ethics
KW - ChatGPT
KW - Twitter
KW - algorithm
KW - algorithmic imaginary
KW - discourse
KW - early adoption
KW - generative AI
KW - ordinary ethics
KW - user agency
UR - http://www.scopus.com/inward/record.url?scp=85204771514&partnerID=8YFLogxK
U2 - 10.1177/14614448241279034
DO - 10.1177/14614448241279034
M3 - ???researchoutput.researchoutputtypes.contributiontojournal.article???
AN - SCOPUS:85204771514
SN - 1461-4448
JO - New Media and Society
JF - New Media and Society
ER -