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 -