TY - JOUR
T1 - Emotional talk about robotic technologies on Reddit
T2 - Sentiment analysis of life domains, motives, and temporal themes
AU - Savela, Nina
AU - Garcia, David
AU - Pellert, Max
AU - Oksanen, Atte
N1 - Publisher Copyright:
© The Author(s) 2021.
PY - 2024/2
Y1 - 2024/2
N2 - This study grounded on computational social sciences and social psychology investigated sentiment and life domains, motivational, and temporal themes in social media discussions about robotic technologies. We retrieved text comments from the Reddit social media platform in March 2019 based on the following six robotic technology concepts: robot (N = 3,433,554), AI (N = 2,821,614), automation (N = 879,092), bot (N = 21,559,939), intelligent agent (N = 15,119), and software agent (N = 18,324). The comments were processed using VADER and LIWC text analysis tools and analyzed further with logistic regression models. Compared to the other four concepts, robot and AI were used less often in positive context. Comments addressing themes of leisure, money, and future were associated with positive and home, power, and past with negative comments. The results show how the context and terminology affect the emotionality in robotic technology conversations.
AB - This study grounded on computational social sciences and social psychology investigated sentiment and life domains, motivational, and temporal themes in social media discussions about robotic technologies. We retrieved text comments from the Reddit social media platform in March 2019 based on the following six robotic technology concepts: robot (N = 3,433,554), AI (N = 2,821,614), automation (N = 879,092), bot (N = 21,559,939), intelligent agent (N = 15,119), and software agent (N = 18,324). The comments were processed using VADER and LIWC text analysis tools and analyzed further with logistic regression models. Compared to the other four concepts, robot and AI were used less often in positive context. Comments addressing themes of leisure, money, and future were associated with positive and home, power, and past with negative comments. The results show how the context and terminology affect the emotionality in robotic technology conversations.
KW - Robotic technologies
KW - sentiment analysis
KW - social media
UR - http://www.scopus.com/inward/record.url?scp=85122142156&partnerID=8YFLogxK
U2 - 10.1177/14614448211067259
DO - 10.1177/14614448211067259
M3 - Article
AN - SCOPUS:85122142156
SN - 1461-4448
VL - 26
SP - 757
EP - 781
JO - New Media and Society
JF - New Media and Society
IS - 2
ER -