Abstract

Vibhu Bhatia, Vidya Prasad Akavoor, Sejin Paik, Lei Guo, Mona Jalal, Alyssa Smith, David Assefa Tofu, Edward Edberg Halim, Yimeng Sun, Margrit Betke, Prakash Ishwar, Derry Tanti Wijaya. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations. 2021.

Highlights

  • When journalists cover a news story, they can cover the story from multiple angles or perspectives

  • In covering COVID-19, for example, some media outlets focus on government response and opinion of the issue at hand

  • We develop a web-based system for analyzing frames in multilingual text documents

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Summary

Abstract tremendous attention from hundreds of thousands

When journalists cover a news story, they can cover the story from multiple angles or perspectives. We propose and guide users through a five-step end-toend computational framing analysis framework grounded in media framing theory in communication research. In other ground can perform advanced data analysis through words, one can frame an issue in multiple ways, but a frame must be shared by the target audience media framing by analyzing mainly themes or topon some level for it to be communicable and ef- ics. This approach is problematic because, again, fective.

Supervised ML also has become increasingly
Discussion and Conclusion
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