TY - GEN
T1 - Afective Design
T2 - 2024 CHI Conference on Human Factors in Computing Sytems, CHI 2024
AU - Erickson, Jacob
AU - Yan, Bei
N1 - Publisher Copyright:
© 2024 Copyright held by the owner/author(s)
PY - 2024/5/11
Y1 - 2024/5/11
N2 - Political communication is critical for democracy, but polarized emotions in communication may make careful deliberation difficult. Much of modern political communication occurs on social media, which may exacerbate these challenges. This study examines how the design of social media features impact political communication. We examined how the introduction of Facebook Reactions infiuenced the posts of the 114th US Congress on the platform. We start by analyzing the emotional content of posts, finding that politicians generally increased their usage of negative emotions in their posts after the feature's launch. Further analysis showed that increased user engagement preceded the rise in negative emotions, suggesting that politicians were making adjustments based on user feedback. Our results show that the design features of social media can shape online political communication.
AB - Political communication is critical for democracy, but polarized emotions in communication may make careful deliberation difficult. Much of modern political communication occurs on social media, which may exacerbate these challenges. This study examines how the design of social media features impact political communication. We examined how the introduction of Facebook Reactions infiuenced the posts of the 114th US Congress on the platform. We start by analyzing the emotional content of posts, finding that politicians generally increased their usage of negative emotions in their posts after the feature's launch. Further analysis showed that increased user engagement preceded the rise in negative emotions, suggesting that politicians were making adjustments based on user feedback. Our results show that the design features of social media can shape online political communication.
KW - Feature Design
KW - Natural Field Experiment
KW - Social Media
KW - Text Analysis
UR - http://www.scopus.com/inward/record.url?scp=85194814567&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85194814567&partnerID=8YFLogxK
U2 - 10.1145/3613904.3641935
DO - 10.1145/3613904.3641935
M3 - Conference contribution
AN - SCOPUS:85194814567
T3 - Conference on Human Factors in Computing Systems - Proceedings
BT - CHI 2024 - Proceedings of the 2024 CHI Conference on Human Factors in Computing Sytems
Y2 - 11 May 2024 through 16 May 2024
ER -