000000002 001__ 2 000000002 005__ 20240801202641.0 000000002 02470 $$ahttps://github.com/juliamendelsohn/framing$$2URL 000000002 037__ $$aADMIN 000000002 245__ $$aModeling Framing in Immigration Discourse on Social Media 000000002 251__ $$av1 000000002 269__ $$a2023-01-26 000000002 336__ $$aDataset 000000002 500__ $$aThe 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> 000000002 510__ $$aMendelsohn, Julia, Budak, Ceren, Jurgens, David. Modeling Framing in Immigration Discourse on Social Media. Inter-university Consortium for Political and Social Research [distributor], 2023-01-26. 000000002 520__ $$aThe 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. 000000002 540__ $$aPublic data and code available on Github: <a href="https://github.com/juliamendelsohn/framing">https://github.com/juliamendelsohn/framing</a> 000000002 650__ $$apublic policy 000000002 650__ $$aimmigration 000000002 650__ $$apolitics 000000002 650__ $$aTwitter 000000002 655__ $$atext 000000002 720__ $$aMendelsohn, Julia$$ePrincipal Investigator$$uUniversity of Michigan$$7Personal 000000002 720__ $$aBudak, Ceren$$ePrincipal Investigator$$uUniversity of Michigan$$7Personal 000000002 720__ $$aJurgens, David$$ePrincipal Investigator$$uUniversity of Michigan$$7Personal 000000002 791__ $$tModeling Framing in Immigration Discourse on Social Media$$aJournal Article$$eis Referenced By$$2URL$$whttps://aclanthology.org/2021.naacl-main.179.pdf 000000002 908__ $$aTwitter 000000002 923__ $$ahttps://github.com/juliamendelsohn/framing 000000002 926__ $$aPython 000000002 980__ $$aDatasets 000000002 980__ $$aX 000000002 981__ $$aPublished