The media framing dataset: Analyzing news narratives in Mexico and Colombia
This paper introduces “The Media Framing Dataset,” a dataset developed through an in-depth examination of news articles from 140 local newspapers in Mexico and Colombia, covering events from May 2022 to August 2023. Our dataset captures a broad spectrum of topics, including politics, immigration, pu...
- Autores:
-
Cuadrado, Juan
Martinez, Elizabeth
Martínez Santos, Juan Carlos
Puertas Del Castillo, Edwin Alexander
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2025
- Institución:
- Universidad Tecnológica de Bolívar
- Repositorio:
- Repositorio Institucional UTB
- Idioma:
- eng
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- Acceso en línea:
- https://hdl.handle.net/20.500.12585/13227
- Palabra clave:
- Computational linguistics
Media analysis
Cross-cultural studies
News content
Sentiment analysis
Content annotation
NLP
LEMB
- Rights
- openAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/4.0/
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The media framing dataset: Analyzing news narratives in Mexico and Colombia |
| title |
The media framing dataset: Analyzing news narratives in Mexico and Colombia |
| spellingShingle |
The media framing dataset: Analyzing news narratives in Mexico and Colombia Computational linguistics Media analysis Cross-cultural studies News content Sentiment analysis Content annotation NLP LEMB |
| title_short |
The media framing dataset: Analyzing news narratives in Mexico and Colombia |
| title_full |
The media framing dataset: Analyzing news narratives in Mexico and Colombia |
| title_fullStr |
The media framing dataset: Analyzing news narratives in Mexico and Colombia |
| title_full_unstemmed |
The media framing dataset: Analyzing news narratives in Mexico and Colombia |
| title_sort |
The media framing dataset: Analyzing news narratives in Mexico and Colombia |
| dc.creator.fl_str_mv |
Cuadrado, Juan Martinez, Elizabeth Martínez Santos, Juan Carlos Puertas Del Castillo, Edwin Alexander |
| dc.contributor.author.none.fl_str_mv |
Cuadrado, Juan Martinez, Elizabeth Martínez Santos, Juan Carlos Puertas Del Castillo, Edwin Alexander |
| dc.subject.keywords.spa.fl_str_mv |
Computational linguistics Media analysis Cross-cultural studies News content Sentiment analysis Content annotation NLP |
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Computational linguistics Media analysis Cross-cultural studies News content Sentiment analysis Content annotation NLP LEMB |
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LEMB |
| description |
This paper introduces “The Media Framing Dataset,” a dataset developed through an in-depth examination of news articles from 140 local newspapers in Mexico and Colombia, covering events from May 2022 to August 2023. Our dataset captures a broad spectrum of topics, including politics, immigration, public opinion, and crime. The data collection involved a meticulous keyword-based search strategy designed to identify articles that illustrate various news-framing dimensions, such as Economics, Policy, Morality, and more. To construct this dataset, we employed a combination of manual and automated annotation techniques. Articles were categorized based on specific framing dimensions using a structured framework, developed in collaboration with experts in computational linguistics. The annotation process, conducted by trained annotators from Mexicoʼs Delfin program, guarantees both precision and depth. “The Media Framing Dataset” serves as a valuable resource for NLP research with high potential for reuse. It is particularly suitable for analyzing cultural and linguistic nuances in media framing, assessing the impact of framing on public perception, and supporting the development of models that automatically detect framing techniques. Additionally, it provides a foundation for linguistic analysis and machine learning projects, enabling researchers and practitioners to explore media framing dynamics and develop innovative tools for media analysis. |
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2025 |
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2025-01-31T19:57:54Z |
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2025-01-09 |
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2025-01-28 |
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Artículo de revista |
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Cuadrado, J., Martinez, E., Martinez-Santos, J. C., & Puertas, E. (2025). The Media Framing Dataset: Analyzing News Narratives in Mexico and Colombia. Data in Brief, https://doi.org/10.1016/j.dib.2025.111284 |
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https://hdl.handle.net/20.500.12585/13227 |
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10.1016/j.dib.2025.111284 |
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Universidad Tecnológica de Bolívar |
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Repositorio Universidad Tecnológica de Bolívar |
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Cuadrado, J., Martinez, E., Martinez-Santos, J. C., & Puertas, E. (2025). The Media Framing Dataset: Analyzing News Narratives in Mexico and Colombia. Data in Brief, https://doi.org/10.1016/j.dib.2025.111284 10.1016/j.dib.2025.111284 Universidad Tecnológica de Bolívar Repositorio Universidad Tecnológica de Bolívar |
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https://hdl.handle.net/20.500.12585/13227 |
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eng |
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eng |
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2023-2023 |
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Cartagena de Indias |
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Ingeniería |
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Campus Tecnológico |
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Maestría en Ingeniería |
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Cuadrado, Juan73b693c6-9993-4025-9268-0f1bbe13b105Martinez, Elizabeth4ebda059-55c6-4e72-8ce5-81181da731b4Martínez Santos, Juan Carlosvirtual::2078-1Puertas Del Castillo, Edwin Alexandervirtual::3529-12023-20232025-01-31T19:57:54Z2025-01-31T19:57:54Z2025-01-092025-01-28Cuadrado, J., Martinez, E., Martinez-Santos, J. C., & Puertas, E. (2025). The Media Framing Dataset: Analyzing News Narratives in Mexico and Colombia. Data in Brief, https://doi.org/10.1016/j.dib.2025.111284https://hdl.handle.net/20.500.12585/1322710.1016/j.dib.2025.111284Universidad Tecnológica de BolívarRepositorio Universidad Tecnológica de BolívarThis paper introduces “The Media Framing Dataset,” a dataset developed through an in-depth examination of news articles from 140 local newspapers in Mexico and Colombia, covering events from May 2022 to August 2023. Our dataset captures a broad spectrum of topics, including politics, immigration, public opinion, and crime. The data collection involved a meticulous keyword-based search strategy designed to identify articles that illustrate various news-framing dimensions, such as Economics, Policy, Morality, and more. To construct this dataset, we employed a combination of manual and automated annotation techniques. Articles were categorized based on specific framing dimensions using a structured framework, developed in collaboration with experts in computational linguistics. The annotation process, conducted by trained annotators from Mexicoʼs Delfin program, guarantees both precision and depth. “The Media Framing Dataset” serves as a valuable resource for NLP research with high potential for reuse. It is particularly suitable for analyzing cultural and linguistic nuances in media framing, assessing the impact of framing on public perception, and supporting the development of models that automatically detect framing techniques. Additionally, it provides a foundation for linguistic analysis and machine learning projects, enabling researchers and practitioners to explore media framing dynamics and develop innovative tools for media analysis.Abstract Keywords 1. Value of the Data 2. Background 3. Data Description 4. Experimental Design, Materials and Methods Limitations Ethics Statement CRediT Author Statement Acknowledgments Data Availability References8application/pdfenghttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://purl.org/coar/access_right/c_abf2Data in Brief - Volume 58 (2025)The media framing dataset: Analyzing news narratives in Mexico and ColombiaArtículo de revistainfo:eu-repo/semantics/articleinfo:eu-repo/semantics/drafthttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/coar/version/c_b1a7d7d4d402bcceComputational linguisticsMedia analysisCross-cultural studiesNews contentSentiment analysisContent annotationNLPLEMBCartagena de IndiasIngenieríaCampus TecnológicoMaestría en IngenieríaEstudiantesEntman, R. M. (1993). Framing: Toward clarification of a fractured paradigm. Journal of communication, 43(4), 51-58.Pustejovsky, J., & Stubbs, A. (2012). Natural Language Annotation for Machine Learning: A guide to corpus-building for applications. " O'Reilly Media, Inc.".Cuadrado, J., Martinez, E., Martinez-Santos, J. C., & Puertas, E. (2024). Framing Across Borders: News Media Corpus Framing in Mexico and Colombia [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10909879Piskorski, J., Stefanovitch, N., Da San Martino, G., & Nakov, P. (2023, July). Semeval-2023 task 3: Detecting the category, the framing, and the persuasion techniques in online news in a multi-lingual setup. In Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023) (pp. 2343-2361).Liu, S., Guo, L., Mays, K., Betke, M., & Wijaya, D. T. (2019, November). Detecting frames in news headlines and its application to analyzing news framing trends surrounding US gun violence. In Proceedings of the 23rd conference on computational natural language learning (CoNLL) (pp. 504-514).Card, D., Boydstun, A., Gross, J. H., Resnik, P., & Smith, N. A. (2015, July). The media frames corpus: Annotations of frames across issues. In Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers) (pp. 438-444).Kwak, H., An, J., & Ahn, Y. Y. (2020, July). A systematic media frame analysis of 1.5 million new york times articles from 2000 to 2017. In Proceedings of the 12th ACM Conference on Web Science (pp. 305-314).Piskorski, J., Stefanovitch, N., Bausier, V. A., Faggiani, N., Linge, J., Kharazi, S., ... & Nakov, P. (2023). News categorization, framing and persuasion techniques: Annotation guidelines. 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