Social networks and food crises: the case of red meat and its carcinogenic effects according to WHO
DOI:
https://doi.org/10.31921/doxacom.n24a6Keywords:
Social networking, sentiment analysis, communication, WHO, red meatAbstract
This research analyzes the case of red meat and its presumed carcinogenic effects with the objective of determining the follow-up on Facebook and Twitter. The International Agency for Cancer Research (WHO dependent) submitted on 26 October 2015 a report evaluating the carcinogenicity of meat consumption by including it in group 2A. Therefore, the qualitative methodology of sentiment analysis in these social networks and the publications related to the news is used. Publications were searched from October 26 to November 26, 2015 and specific hashtags ("red meat" and "WHO"). The publications were classified as positive, neutral or negative. We analyzed 391 publications on Twitter and 33 on Facebook. 57.6% of Facebook publications have a neutral intentionality, 27.3% negative and 15.1% positive. On Twitter, 47.6% are neutral, 39.6% negative and 12.8% positive. User appreciation changes over time, going from negative and neutral to neutral and positive comments until only objective information is left. There is a lack of communication between the official entities and the users of these networks.
Downloads
Global Statistics ℹ️
|
769
Views
|
362
Downloads
|
|
1131
Total
|
|
References
Aguado-de-Cea, G.; Barrios, M. A.; Bernardos, M. S.; Campanella, I.; Montiel-Ponsoda, E; Muñoz-García, Ó. y Rodríguez, V. (2012): Análisis de sentimientos en un corpus de redes sociales. Tenerife: 31 Congreso Asociación Española de Lingüística Aplicada, Comunicación, Cognición y Cibernética.
Barzilay, R. (1999): “Using Lexical Chains for the Text Summarization”. Advances in Automatic Text Summarization. Massachusetts: USA.
Barzilay, R. y Lapata, M. (2008): “Modeling Local Coherence: An entity-based approach”. Computational Linguistics, vol. 34, n. 1.
Berger, A. y Mittal, V. O. (2000): “OCELOT: A System for Summarizing Web Pages”. Proceedings of the 23rd annual international ACM SIGIR conference on research and development in information retrieval, pp. 144-151.
Brandow, R. M.; Mitze, K. y Rau, L. F. (1995): “Automatic condensation of electronic publications by sentence selection”. Information Processing & Management, 31(5): 675-685.
Brin, S. y Page, L. (1999): “The anatomy of a large-scale hypertextual web search engine”. Computer Networks, vol. 56, n. 8, pp. 3825-3833.
Caldevilla Domínguez, D. (2010): "Las Redes Sociales. Tipología, uso y consumo de las redes 2.0 en la sociedad digital actual." Documentación de las Ciencias de la Información, n. 33, pp. 45-68.
Carenini, G.; Murray, G. y Ng, R. T. (2011): Methods for Mining and Summarizing Text Conversations. London: Morgan & Claypool Publishers.
Cascante Hernández, K. (2011): “Crisis alimentaria: un consenso por la agricultura”. Política exterior, vol. 25, n. 142, pp. 128-137.
Chua, F. C. T. y Asur, S. (2013): “Automatic Summarization of Events from Social Media”. International AAAI Conference on Web and Social Media.
Clore, G. L.; Ortony, A. y Foss, M. (1987): “The psychological foundations of the affective lexicon” Journal of personality and social psychology, vol. 53, n. 4, pp. 751-66.
Das, D. y Martins, A. (2007): “A Survey on Automatic Text Summarization”. Computer Science and Applied Cognitive Science, pp. 1-31.
Ding, C., H. Q. (2005): “A Probabilistic Model for Latent Semantic Indexing”. Journal of the American Society for Information Science and Technology, vol. 56, n. 6, pp. 597-608.
Edmundson, H. P. (1969): “New Methods in Automatic Extracting”. Journal of the Association for Computing Machinery, vol. 16, n. 2.
Farré i Coma, J.; Gonzalo Iglesia, J. L.; Lores García, M; Lozano Monterrubio, N. y Prades Tena, J. (2012): “Comunicación de riesgos y seguridad alimentaria en la era 2.0”. El profesional de la información, vol. 21, n. 4, pp. 381-384.
Fondevila Gascón, J. F. (2010): “El cloud journalism: un nuevo concepto de producción para el periodismo del siglo XXI”. Observatorio (OBS*) Journal, vol. 4, n. 1, pp. 19-35.
(2013): “Periodismo ciudadano y cloud journalism: un flujo necesario en la Sociedad de la Banda Ancha”. Comunicación y Hombre, n. 9, pp. 25-41.
(2014): “El uso de hipertexto, multimedia e interactividad en periodismo digital: propuesta metodológica de ranking de calidad”. ZER, Revista de Estudios de Comunicación (Journal of Communication Studies), vol. 19, n. 36, pp. 55-76.
Fondevila Gascón, J. F.; Carreras Alcalde, M.; Del Olmo Arriaga, J. L. y Feliu Roé, L. (2014): Facebook and Twitter in education: a new factor to improve classes. Valencia: INTED2014 (8th International Technology, Education and Development Conference).
Fondevila Gascón, J. F.; Mir Bernal, P.; Puiggròs Román, E.; Muñoz González, M.; Berbel Giménez, G.; Gutiérrez Aragón, Ó.; Feliu Roé, L.; Santana López, E.; Rom-Rodríguez, J.; Sorribas Morales, C. y Crespo, J. L. (2016): Sentiment analysis as a qualitative methodology to analyze social media: study case of tourism. Porto: CIAIQ2015 y ISQR2016, 5er Congreso Iberoamericano de Investigación Cualitativa y 1st International Symposium on Qualitative Research.
Kleinberg, J. K.; Kumar, R.; Raghavan, P.; Rajagopalan, S. y Tomkins, A. S. (1999): “The web as a graph: measurements, models, and methods”. Computing and Combinatories, n. 1627, pp. 1-17.
Kupiec, J. P.; Pedersen, J. y Chen, F. (1995): “A trainable document summarizer”. Proceedings of the 18th annual international ACM SIGIR conference on Research and Development in Information Retrieval.
Kyoomarsi, F.; Khosravi, H.; Eslami, E.; Khosravyan Dehkordy, P. y Tajoddin, A. (2008): “Optimizing text summarization based on fuzzy logic”. Seventh IEEE/ACIS International Conference on Computer and Information Science.
Lin, C. Y. y Hovy, E. (1997): “Identifying Topics by Position”. Proceedings of the fifth Conference on Applied Natural Language, pp. 283-290.
Luhn, H. P. (1958): “The automatic creation of literature abstracts”. IBM Journal of Research Development, pp. 159-165.
Marcu, D. (1997): The rhetorical parsing, summarization, and generation of natural language texts. Toronto: University of Toronto.
Martín-Ruiz, E.; Danet Danet, A.; Pérez Corral, O.; Cruz Piqueras, M. T. y March Cerdá, J. C. (2014): “Opiniones de menores residentes en Andalucía (España) sobre temas de salud: Aplicación de un cuestionario por Internet”. Revista Salud Uis, vol. 46, n. 2.
Martínez Cámara, E.; Martín Valdivia, M. T. y Ureña López, L. A. (2011): Análisis de sentimiento. Jaén: IV Jornadas TIMM. Tratamiento de la Información Multilingüe y Multimodal.
Minqing, H. y Bing, L. (2004): “Mining and Summarizing Customer Reviews”. Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2004).
Minqing, H.; Bing, L. y Junsheng, C. (2005): “Opinion observer: Analyzing and comparing opinions on the web”. Proceedings of the 14th International World Wide Web conference (WWW-2005).
Mollá, D. H. (2003): “Intrinsic versus extrinsic evaluations of parsing systems”. Proceedings of EACL03 workshop on Evaluation Initiatives in Natural Language Processing.
Montesino García, L. (2014): “Análisis de sentimientos y predicción de eventos en Twitter”. Santiago, Chile: Universidad de Chile, Facultad de Ciencias Físicas y Matemáticas [Consultado el 03/12/2016]. Disponible en: http://www.repositorio.uchile.cl/handle/2250/130479
Morris, A. H.; Kasper, G. M. y Adams, D. A. (1992): The Effects and Limitations of Automated Text Condensing on Reading Comprehension Performance. Information Systems Research, vol. 17, n. 35.
Nenkova, A. P. y Passoneau, R. (2004): Evaluating Content Selection in Summarization: The Pyramid Method. Vancouver: Document Understanding Conference.
Pang, B. y Lee, L. (2005): “Seeing stars: Exploiting class relationships for sentiment categorization with respect to rating scales”. Proceedings of the 43rd Annual Meeting ion Associations for Computational Linguistics.
Pang, B. y Lee, L. (2008): “Opinion mining and sentiment analysis”. Foundations and Trends in Information Retrieval, vol. 2, n. 1-2, pp. 1-135.
Pang, B.; Lee, L. y Vaithyanathan, S. (2002): Thumbs up?: sentiment classification using machine learning techniques. Proceedings of the ACL-02 conference on Empirical methods in natural language processing, n. 10, pp. 79-86.
Pang, Z.; Chen, Q.; Han, W. y Zheng, L. (2015): “Value-centric design of the internet-of-things solution for food supply chain: Value creation, sensor portfolio and information fusion”. Information Systems Frontiers, vol. 17, n. 2, pp. 289-319.
Polanyi, L. C.; Culy, C.; Van den Berg, M.; Lorenzo Thione, G. y Ahn, D. (2004): “A rule-based approach to discourse parsing”. Proceedings of the fifth SIGdial workshop on discourse and dialogue.
Popescu, A. M. y Pennachiotti, M. (2010): “Detecting Controversial Events from Twitter”. Proceedings of the 19th ACM International conference on Information and Knowledge Management.
Radev, D. R.; Jing, H. y Budzikowska, M. (2000): “Centroid-based summarization of multiple documents: sentence extraction, utility-based evaluation, and user studies”. Proceedings of the 2000 NAACL-ANLP workshop on automatic summarization.
Russell Brown, L. (2012): “Para prevenir una nueva crisis alimentaria”. Política exterior, vol. 26, n. 150, pp. 176-184.
Sakaki, T; Okazaki, M. y Matsuo, Y. (2010): “Earthquake shakes Twitter users: real-time event detection by social sensors”. Proceedings of the 19th International Conference on World Wide Web.
Salton, G. (1988): Automatic Text Processing. The Transformation Analysis and Retrieval of Information by Computer. Boston: Addison-Wesley Longman Publishing CO.
Salton, G.; Wong, A. y Yang, C. S. (1975): “A vector space model for automatic indexing”. Communication of the ACM, vol. 18, n. 11, pp. 613-620.
Sayyadi, H.; Hurst, M. y Maykov, A. (2009): “Event Detection and Tracking in Social Streams”. Proceedings of the Third International ICWSM, pp. 311-314.
Sharifi, B.; Hutton, M.-A. y Kalita, J. (2010): “Summarizing Microblogs Automatically”. Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the ACL, pp. 685-688.
Steinberger, J. y Jezek, K. (2009): “Evaluation measures for text summarization”. Computing and Informatics, n. 29, pp. 1001-1026.
Sparck Jones, K. (1998): Automatic summarizing: factors and directions. Cambridge: MIT Press.
Taboada, M.; Brooke, J.; Tofiloski, M.; Voll, K. y Stede, M. (2011): “Lexicon-based methods for sentiment analysis”. Computational linguistics, vol. 37, n. 2, pp. 267-307.
Turney, P. D. (2002): “Thumbs up or thumbs down?: semantic orientation applied to unsupervised classification of reviews”. Proceedings of the 40th annual meeting on association for computational linguistics. pp. 417-424.
Watanabe, K.; Ochi, M.; Okabe, M. y Onai, R. (2011): “Jasmine: a real-time local-event detection system based on geolocation information propagated to microblogs”. Proceedings of the 20th ACM International Conference on Information and Knowledge Management, pp. 2541-2544.
Downloads
Published
Issue
Section
License
Copyright (c) 2017 http://creativecommons.org/licenses/by-nc/4.0
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
The authors retain their copyright and grant the journal the right of first publication of their work, which will be simultaneously subject to the Creative Commons License, Attribution-NonCommercial, International License (CC BY-NC 4.0). The scientific community is free to share, copy, and redistribute the material in any medium or format, and to remix, transform, and build upon that material under the following terms: Proper credit must be given (journal, authors, URL/DOI), and it is not used for commercial purposes.
How to Cite
