This page contains a regularly updated version of survey data from our ACL 2024 paper “Media Framing: A typology and Survey of Computational Approaches Across Disciplines”.
Below you will find a list of studies on computational/automatic media frame analysis. In addition to their metadata (Author, Title, Year, URL), we specify the language targeted for framing analysis, and the type of the venue the study was published in (i.e. NLP such as ACL conferences or NLP tracks of other AI/CS conferences, Media studies, Social sciences, Political sciences and Other). We also show the type and subtype of framing explored in the paper, and if the methods presented in it are theoretically grounded. Please refer to our paper to learn more about these aspects.
All fields in the table can be searched and filtered, so that one can easily get a subset of framing studies they are interested in. Below we also reproduce a dynamic version of two tables from the paper, which show how the number of theorerically-grounded papers varies by year (it seems to be improving!) and across disciplines.
We strive to keep this list correct and updated; if you find a paper that is not listed here or some errors, please let us know by raising an issue on our GitHub Page (https://github.com/julia-nixie/awesome-media-framing) or writing me at the email address in the paper. Thanks ❤️
https://rows.com/embed/1lIWkCP0SxKB9RTUoRPdJpPtgnA2lbbw0fGHFvc2ksew/746132fb-a234-443c-a2bf-aaae9759754b?_height=540
https://rows.com/embed/1lIWkCP0SxKB9RTUoRPdJpPtgnA2lbbw0fGHFvc2ksew/99553070-18e7-4354-96b2-921de72331f9?_height=540