Semantic-based Unsupervised Framing Analysis (SUFA): A Novel Approach for Computational Framing Analysis
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arXiv
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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866918029128892416 |
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| author | Ali, Mohammad Hassan, Naeemul |
| author_facet | Ali, Mohammad Hassan, Naeemul |
| contents | This research presents a novel approach to computational framing analysis, called Semantic Relations-based Unsupervised Framing Analysis (SUFA). SUFA leverages semantic relations and dependency parsing algorithms to identify and assess entity-centric emphasis frames in news media reports. This innovative method is derived from two studies -- qualitative and computational -- using a dataset related to gun violence, demonstrating its potential for analyzing entity-centric emphasis frames. This article discusses SUFA's strengths, limitations, and application procedures. Overall, the SUFA approach offers a significant methodological advancement in computational framing analysis, with its broad applicability across both the social sciences and computational domains. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2505_15563 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Semantic-based Unsupervised Framing Analysis (SUFA): A Novel Approach for Computational Framing Analysis Ali, Mohammad Hassan, Naeemul Computation and Language This research presents a novel approach to computational framing analysis, called Semantic Relations-based Unsupervised Framing Analysis (SUFA). SUFA leverages semantic relations and dependency parsing algorithms to identify and assess entity-centric emphasis frames in news media reports. This innovative method is derived from two studies -- qualitative and computational -- using a dataset related to gun violence, demonstrating its potential for analyzing entity-centric emphasis frames. This article discusses SUFA's strengths, limitations, and application procedures. Overall, the SUFA approach offers a significant methodological advancement in computational framing analysis, with its broad applicability across both the social sciences and computational domains. |
| title | Semantic-based Unsupervised Framing Analysis (SUFA): A Novel Approach for Computational Framing Analysis |
| topic | Computation and Language |
| url | https://arxiv.org/abs/2505.15563 |