Explorando la ciberviolencia contra mujeres y niñas en Filipinas a través de Mining Online News

Exploring cyber violence against women and girls in the Philippines through Mining Online News

 January Febro-Naga, Instituto de Tecnología de MSU-Iligan (Filipinas)

 Mia-Amor Tinam-isan, Instituto de Tecnología de MSU-Iligan (Filipinas)

https://doi.org/10.3916/C70-2022-10

Palabras clave

Ciberviolencia, noticias, análisis de contenido, análisis de textos, ciber-VCMN, modelado de temas

Resumen

La violencia contra las mujeres y las niñas (VCMN) no es un fenómeno nuevo. Lo nuevo son los crecientes peligros a que se enfrentan los millones de mujeres y niñas debido a la difusión de las TIC y redes sociales. Los casos de la VCMN donde se utilizan como plataformas las TIC y las redes sociales se encuentran fácilmente por medio de la cobertura mediática. Este estudio tiene como objetivo la comprensión y la definición de la tendencia y el estado de la ciber-VCMN para crear conciencia por medio del análisis de los sitios web de noticias online. Entre 2015 y 2020, se recopilaron artículos de los principales sitios de noticias. Se utilizó el Modelo de palabras claves temáticas para evaluar los artículos preprocesados (N=3.506) por año. Se señaló que la mayoría de los artículos sobre ciber-VCMN se centraban en temas de «Explotación sexual y abuso sexual de niños en línea» y «Violaciones de la privacidad relacionadas con las TIC». El análisis de los textos ayuda a trascender las limitaciones de las metodologías cualitativas tradicionales. Comprender las preocupaciones de la ciber-VCMN mediante la extracción de artículos de noticias podría ayudar a crear iniciativas y políticas para solucionar este problema. Proponemos que se lleve a cabo una investigación utilizando análisis de sentimiento de los datos de noticias para verificar y cuantificar el impacto de los problemas relacionados con la ciber-VCMN.

Referencias

Abaido, G.M. (2020). Cyberbullying on social media platforms among university students in the United Arab Emirates. International Journal of Adolescence and Youth, 25(1), 407-420. https://doi.org/10.1080/02673843.2019.1669059

Link DOI | Link Google Scholar

Abebe, O.J., & Jepkiyeny, A. (2016). Accelerating action to end violence against women and girls in Africa. SRRN Electronic Journal. https://doi.org/10.2139/ssrn.2797611

Link DOI | Link Google Scholar

Aggarwal, C.C., & Zhai, C. (2012). An introduction to text mining. In C.C. Aggarwal, & C. Zhai (Eds.), Mining text data. (pp. 1-10). Springer. https://doi.org/10.1007/978-1-4614-3223-4_1

Link DOI | Link Google Scholar

Aguilar, K. (2020). Online sexual harassment on the rise, says CHR. Inquirer. https://bit.ly/3BpBSxw

Link Google Scholar

Aguilar, M.G. (2019). Sex tourism in the Philippines: A basis for planning and policy making and amendments. Journal of Tourism & Hospitality, 8(5). https://bit.ly/3y8k6NA

Link Google Scholar

Antons, D., Grunwald, E., Cichy, P., & Salge, T. (2020). The application of text mining methods in innovation research: current state, evolution patterns, and development priorities. R & D Management, 50(3), 329-351. https://doi.org/10.1111/radm.12408

Link DOI | Link Google Scholar

Blanchfield, L. (2011). United Nations system efforts to address violence against women. Congressional Research Service. https://bit.ly/3kz7Kdc

Link Google Scholar

Brudvig, I., Chair, C., & van-der-Wilk, A. (2020). Covid-19 and increasing domestic violence against women: The pandemic of online gender-based violence. Word Wide Web Foundation. https://bit.ly/36ELUgp

Link Google Scholar

Carll, E.K. (2003). News portrayal of violence and women: implications for public policy. American Behavioral Scientist, 46(12), 1601-1610. https://doi.org/10.1177/0002764203254616

Link DOI | Link Google Scholar

Cho, H.W. (2019). Topic modeling. Osong Public Health and Research Perspectives, 10(3), 115-116. https://doi.org/10.24171/j.phrp.2019.10.3.01

Link DOI | Link Google Scholar

Council of Europe (Ed.) (2018). Mapping study on cyberviolence. https://bit.ly/3hMAoFY

Link Google Scholar

Ellsberg, M., Arango, D.J., Morton, M., Gennari, F., Kiplesund, S., Contreras, M., & Watts, C. (2015). Prevention of violence against women and girls: What does the evidence say? The Lance, 385(9977), 1555-1566. https://doi.org/10.1016/S0140-6736(14)61703-7

Link DOI | Link Google Scholar

European Union Agency for Fundamental Rights (Ed.) (2010). Violence against women: An EU-wide survey. FRA - European Union Agency for Fundamental Rights. https://bit.ly/2Uf3pkV

Link Google Scholar

Gandomi, A., & Haider, M. (2015). Beyond the hype: Big data concepts, methods, and analytics. International Journal of Information Management, 35(2), 137-144. https://doi.org/10.1016/j.ijinfomgt.2014.10.007

Link DOI | Link Google Scholar

García-Moreno, C., Zimmerman, C., Morris-Gehring, A., Heise, L., Amin, A., Abrahams, N., Montoya, O., Bhate-Deosthali, P., Kilonzo, N., & Watts, C. (2015). Addressing violence against women: A call to action. The Lancet, 385(9978), 1685-1695. https://doi.org/10.1016/S0140-6736(14)61830-4

Link DOI | Link Google Scholar

Gonzales, C. (2019). Cybercrime on the rise over the last 6 years. Inquirer. https://bit.ly/3b6vv7h

Link Google Scholar

Goyvaerts, J. (2007). Regular expressions: The complete tutorial. Jan Goyvaerts. https://bit.ly/3wMQRhD

Link Google Scholar

Gupta, A., Dengre, V., Kheruwala, H.A., & Sha, M. (2020). Comprehensive review of text-mining applications in finance. Financial Innovation 6(39). https://doi.org/10.1186/s40854-020-00205-1

Link DOI | Link Google Scholar

Hong, S., Lu, N., Wu, D., Jimenez, D.E., & Milanaik, R.L. (2020). Digital sextortion: Internet predators and pediatric interventions. Current Opinion in Pediatrics, 32(1), 192-197. https://doi.org/10.1097/MOP.0000000000000854

Link DOI | Link Google Scholar

Hori, S. (2015). An exploratory analysis of the text mining of news articles about “water and society”. WIT Transactions on The Built Environment, 168, 501-508. https://doi.org/10.2495/SD150441

Link DOI | Link Google Scholar

Howard, T. (2019). Sextortion: Psychological effects experienced and seeking help and reporting among emerging adults. [Doctoral Dissertation, Walden University]. Walden University Scholar Works. https://bit.ly/3xNzDlv

Link Google Scholar

Huang, M. (2019). News mining [Source Code]. Github. https://bit.ly/3wScXPQ

Link Google Scholar

Iganski, P., & Sweiry, A. (2018). Hate crime. In A. Treviño (Ed.), The Cambridge Handbook of Social Problems (pp. 399-410). Cambridge University Press. https://doi.org/10.1017/9781108550710.024

Link DOI | Link Google Scholar

Kirchengast, T., & Crofts, T. (2019). The legal and policy contexts of ‘revenge porn’ criminalisation: The need for multiple approaches. Oxford University Commonwealth Law Journal, 19(1), 1-29. https://doi.org/10.1080/14729342.2019.1580518

Link DOI | Link Google Scholar

Kloess, J.A., Beech, A.R., & Harkins, L. (2014). Online child sexual exploitation: Prevalence, process, and offender characteristics. Trauma, Violence, and Abuse, 15(2), 126-139. https://doi.org/10.1177/1524838013511543

Link DOI | Link Google Scholar

Krantz, G., & Garcia-Moreno, C. (2005). Violence against women. Journal of Epidemiology and Community Health, 59(10), 818-821. https://doi.org/10.1136/jech.2004.022756

Link DOI | Link Google Scholar

Krawczyk, K., Chelkowski, T., Laydon, D., Mishra, S., Xifara, D., Gibert, B., Flaxman, S., Mellan, T., Schwämmle, V., Röttger, R., Hadsund, J., & Bhatt, S. (2021). Quantifying online news media coverage of the COVID-19 pandemic: Text mining study and resource. J Med Internet Res, 23(6), e28253. https://doi.org/10.2196/28253

Link DOI | Link Google Scholar

Malhotra, N. (2015). Good questions on technology-related violence. Association of Progressive Communications. https://bit.ly/36HEqZN

Link Google Scholar

Marcum, C.D., Higgins, G.E., & Ricketts, M.L. (2014). Juveniles and cyber stalking in the United States: An analysis of theoretical predictors of patterns of online perpetration. International Journal of Cyber Criminology, 8(1), 47-56. https://bit.ly/2UpET0b

Link Google Scholar

Miner, G., Delen, D., Elder, J., Fast, A., Hill, T., & Nisbet, R. (2012). Practical text mining and statistical analysis for non-structured text data applications. Elsevier. https://bit.ly/3BrK0O3

Link Google Scholar

Miniwatts Marketing Group (Ed.) (2021). Internet usage statistics the Internet big picture. Internet World Stats. https://bit.ly/3hMefYk

Link Google Scholar

Myers, C.A, & Cowie, H. (2019). Cyberbullying across the lifespan of education: Issues and interventions from school to university. International Journal of Environmental Research and Public Health, 16(7), 1217. https://doi.org/10.3390/ijerph16071217

Link DOI | Link Google Scholar

Nixon, C. (2014). Current perspectives: The impact of cyberbullying on adolescent health. Adolescent Health, Medicine and Therapeutics, 5, 143-158. https://doi.org/10.2147/AHMT.S36456

Link DOI | Link Google Scholar

Notar, C.E., Padgett, S., & Roden, J. (2013). Cyberbullying: Resources for intervention and prevention. Universal Journal of Educational Research, 1(3), 133-145. https://doi.org/10.13189/ujer.2013.010301

Link DOI | Link Google Scholar

Pashang, S., Clarke, J., Khanlou, N., & Degendorfer, K. (2018). Redefining cyber sexual violence against emerging young women: toward conceptual clarity. In S. Pashang, N. Khanlou, & J. Clarke (Eds.), Today’s youth and mental health. Advances in Mental Health and Addiction (pp. 77-97). Springer. https://doi.org/10.1007/978-3-319-64838-5_5

Link DOI | Link Google Scholar

Patchin, J.W., & Hinduja, S. (2020). Sextortion among adolescents: Results from a national survey of U.S. youth. Sexual Abuse, 32(1), 30-54. https://doi.org/10.1177/1079063218800469

Link DOI | Link Google Scholar

Piepenbrink, A., & Gaur, A.S. (2017). Topic models as a novel approach to identify themes in content analysis: the example of organizational research methods. In Academy of Management Proceeding, (pp. 11335). Academy of Management. https://doi.org/10.5465/AMBPP.2017.141

Link DOI | Link Google Scholar

Runcan, R. (2020). Conflict solution in cyberbullying. Revista de Asisten? Sociala, 2(2020), 45-57. https://bit.ly/2UZnnje

Link Google Scholar

Saltz, S.B., Rozon, M., Pogge, D.L., & Harvey, P.D. (2020). Cyberbullying and its relationship to current symptoms and history of early life trauma: A study of adolescents in an acute inpatient psychiatric unit. The Journal of Clinical Psychiatry, 81(8). https://doi.org/10.4088/JCP.18m12170

Link DOI | Link Google Scholar

Schmiedel, T., Müller, O., & vom Brocke, J. (2018). Topic modeling as a strategy of inquiry in organizational research. Organizational Research Methods, 22(4), 941-968. https://doi.org/10.1177/1094428118773858

Link DOI | Link Google Scholar

Schneider, J. (2018). TKM Package [Source Code]. Github. https://bit.ly/2O9sdXY

Link Google Scholar

Segura, L., Estévez, J.F., & Estévez, E. (2020). Empathy and emotional intelligence in adolescent cyber aggressors and cyber victims. International Journal of Environmental Research and Public Health, 17(13). https://doi.org/10.3390/ijerph17134681

Link DOI | Link Google Scholar

Statista Research Department (Ed.) (2021a). Number of social network users in the Philippines from 2017 to 2019 with a forecast until 2025. Statista. https://bit.ly/3rBYkPE

Link Google Scholar

Statista Research Department (Ed.) (2021b). Trust in news outlets in the Philippines in 2021, by brand. Statista. https://bit.ly/3zkhBIa

Link Google Scholar

Statista Research Department (Ed.) (2021c). Leading news websites Philippines 2019 by daily pageviews per visitor. Statista. https://bit.ly/3kziPLi

Link Google Scholar

Sutherland, G., Easteal, P., Holland, K., & Vaughan, C. (2019). Mediated representations of violence against women in the mainstream news in Australia. BMC Public Health, 19(502). https://doi.org/10.1186/s12889-019-6793-2

Link DOI | Link Google Scholar

Tandon, N. (2015). Cyber violence against women and girls. ITU News. https://bit.ly/36GMLgr

Link Google Scholar

Tandon, N., Pritchard, S., & et al. (2015). Cyber violence against women and girls: A world-wide wake-up call. UN Broadband Commission for Digital Development. https://bit.ly/3kyivfK

Link Google Scholar

United Nations Women (Ed.) (2021). The shadow pandemic: Violence against woman during COVID-19. UN Women. https://bit.ly/3xPml81

Link Google Scholar

University of New Brunswick (Ed.) (2015). Behind the screen: assessing needs for the prevention and elimination of cyberviolence against young women in New Brunswick. University of New Brunswick. https://bit.ly/3etWI51

Link Google Scholar

Van-Der-Wilk, A. (2018). Cyber violence and hate speech online against women. The European Parliament’s Committee on Women’s Rights and Gender Equality. https://bit.ly/3rhQvhQ

Link Google Scholar

W3newspapers (Ed.) (2020). Philippine newspapers and news sites. https://bit.ly/2URILXQ

Link Google Scholar

Web Foundation (Ed.) (2020). There’s a pandemic of online violence against women and girls. World Wide Web Foundation. https://bit.ly/3BakGw2

Link Google Scholar

Woodlock, D. (2017). The abuse of technology in domestic violence and stalking. Violence Against Women, 23(5), 584-602. https://doi.org/10.1177/1077801216646277

Link DOI | Link Google Scholar

World Wide Web Foundation & World Association of Girl Guides and Girl Scouts (Ed.) (2020). Survey - Young people’s experience of online harassment. https://bit.ly/3kpjKxX

Link Google Scholar

Zolnoori, M., Huang, M., Patten, C. A., Balls-Berry, J., Goudarzvand, S., Brockman, T., Sagheb, E., & Yao, L. (2019). Mining news media for understanding public health concerns. Journal of Clinical and Translational Science, 5(1). https://doi.org/10.1017/cts.2019.434

Link DOI | Link Google Scholar

Fundref

Este trabajo ha recibido financiación del Centro de Género y Desarrollo del Instituto de Tecnología MSU-Iligan, proyecto «Explorando la ciberviolencia contra mujeres y niñas (VCMN) en Filipinas en noticias en línea mediante la minería de textos» SO No. 02831-IIT Serie de 2019.

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Ficha técnica

Recibido: 10-03-2021

Revisado: 08-04-2021

Aceptado: 15-07-2021

OnlineFirst: 15-10-2021

Fecha publicación: 01-01-2022

Tiempo de revisión del artículo : 29 (en días) | Media de tiempo de revisión de los manuscritos del número 70: 35 (en días)

Tiempo de aceptación del artículo: 127 (en días) | Media tiempo aceptación de los manuscritos del número 70: 66 (en días)

Tiempo de edición OnlineFirst: 252 (en días) | Media tiempo edición de los OnlineFirst del número 70: 191 (en días)

Tiempo de publicacicón final del artículo: 297 (en días) | Media tiempo de publicación final de los articulos del número 70: 236 (en días)

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