Jing & Ahn, "Characterizing Partisan Political Narrative Frameworks about COVID-19 on Twitter" (2021)
2021-10-30 → 2026-08-14
Elise Jing and Yong-Yeol Ahn, EPJ Data Science 10(1), 53 (2021)
Link | arXiv | PDF
@article{jing2021characterizing,
author = {Elise Jing and Yong-Yeol Ahn},
title = {Characterizing partisan political narrative frameworks about COVID-19 on Twitter},
journal = {EPJ Data Science},
volume = {10},
number = {1},
pages = {53},
doi = {10.1140/epjds/s13688-021-00308-4},
archivePrefix = {arXiv},
eprint = {2103.06960},
primaryClass = {cs.CL},
year = {2021},
}
Combines contextual, framing, and semantic-role analyses to compare Democratic and Republican politicians’ COVID-19 narratives on Twitter. The two parties emphasize different topics, actors, and responsibilities, exposing gaps between their narrative frameworks.
Narrative, Political polarization, Twitter