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It’s Complicated – Using Machine Learning Techniques to Understand Crisis Framing in Immigration Coverage by American Newspapers, 1980-2021 Online
In this talk, we discuss the complexities and complications of using machine learning techniques like topic modeling, Named Entity Recognition (NER), and corpus linguistics to assist in the qualitative coding and exploration of a large new dataset. In the project we explored an original dataset composed of four national and seven state-based newspapers, and one Canadian newspaper, from 1980 to 2021, which vary as conservative or as progressive sources (resulting in a corpus of 106,000 total news articles).
- Date:
- Wednesday, April 5, 2023
- Time:
- 10:00 am - 11:00 am
- Time Zone:
- Arizona Time (change)
- Online:
- This is an online event. Event URL will be sent via registration email.
Registration has closed.
