TY - GEN
T1 - Frames and Their Affective Dimensions
T2 - 15th International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction and Behavior Representation in Modeling and Simulation Conference, SBP-BRiMS 2022
AU - Tyagi, Aman
AU - Joseph, Kenneth
AU - Carley, Kathleen M.
N1 - Publisher Copyright: © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2022
Y1 - 2022
N2 - News articles shared on social media platforms could be framed in ways such that specific points are emphasized or de-emphasized to create confusion on scientific facts. In this work, we use policy frames suggested by Boydstun et al., 2014 to find frames used in over 810k climate change news articles shared on Twitter by news agencies. Moreover, we present a method to find affective dimensions, namely Evaluation (good vs. bad), Potency (strong vs. weak), and Activity (active vs. passive), of the frames. Our results suggest that news articles about climate change are predominantly framed as related to policy issues in the context of a social group’s traditions, customs, or values. We also conclude that frames are not reshared based on their affect. Lastly, we present implications for the increasingly relevant climate change communication research.
AB - News articles shared on social media platforms could be framed in ways such that specific points are emphasized or de-emphasized to create confusion on scientific facts. In this work, we use policy frames suggested by Boydstun et al., 2014 to find frames used in over 810k climate change news articles shared on Twitter by news agencies. Moreover, we present a method to find affective dimensions, namely Evaluation (good vs. bad), Potency (strong vs. weak), and Activity (active vs. passive), of the frames. Our results suggest that news articles about climate change are predominantly framed as related to policy issues in the context of a social group’s traditions, customs, or values. We also conclude that frames are not reshared based on their affect. Lastly, we present implications for the increasingly relevant climate change communication research.
KW - Affective dimensions
KW - Climate change
KW - Framing
UR - https://www.scopus.com/pages/publications/85138760870
U2 - 10.1007/978-3-031-17114-7_6
DO - 10.1007/978-3-031-17114-7_6
M3 - Conference contribution
SN - 9783031171130
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 57
EP - 67
BT - Social, Cultural, and Behavioral Modeling - 15th International Conference, SBP-BRiMS 2022, Proceedings
A2 - Thomson, Robert
A2 - Dancy, Christopher
A2 - Pyke, Aryn
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 20 September 2022 through 23 September 2022
ER -