TY  - GEN
AB  - The framing of political issues can influence policy and public opinion. Even though the public plays a key role in creating and spreading frames, little is known about how ordinary people on social media frame political issues. By creating a new dataset of immigration-related tweets labeled for multiple framing typologies from political communication theory, we develop supervised models to detect frames.
DA  - 2023-01-26
ED  - Mendelsohn, Julia
ED  - Budak, Ceren
ED  - Jurgens, David
ED  - Principal Investigator
ED  - Principal Investigator
ED  - Principal Investigator
ID  - 2
KW  - public policy
KW  - immigration
KW  - politics
KW  - Twitter
N1  - The linked GitHub repository contains materials for the NAACL 2021 paper Modeling Framing in Immigration Discourse on Social Media.
<ul>
 <li>dataset.zip contains the full set of tweet IDs used for analysis. Human-annotated data for training frame detection models is located in the annotated_data folder, and machine-predicted frame labels are located in the predicted_data folder. </li>
 <li>codebook.pdf contains guidelines for frame annotation. It includes detailed descriptions of issue-generic policy, immigration-specific, and episodic/thematic frames. </li>
 <li>code/ contains all code for data collection, assessing annotations, and building and evaluating models </li>
 <li>notebooks/ contain Jupyter notebooks for framing analyses, including regressions and plots </li>
</ul>
N2  - The framing of political issues can influence policy and public opinion. Even though the public plays a key role in creating and spreading frames, little is known about how ordinary people on social media frame political issues. By creating a new dataset of immigration-related tweets labeled for multiple framing typologies from political communication theory, we develop supervised models to detect frames.
PY  - 2023-01-26
T1  - Modeling Framing in Immigration Discourse on Social Media
TI  - Modeling Framing in Immigration Discourse on Social Media
Y1  - 2023-01-26
ER  -