Investigación del comportamiento de menores y jóvenes en las redes sociales mediante técnicas de Social Big Data

Rebeca Suárez-Álvarez; Antonio García-Jiménez

doi:10.31921/doxacom.n32a5

Authors

Rebeca Suárez-Álvarez Rey Juan Carlos University, Spain https://orcid.org/0000-0002-0102-4472
Antonio García-Jiménez Rey Juan Carlos University, Spain https://orcid.org/0000-0002-8423-9486

DOI:

https://doi.org/10.31921/doxacom.n32a5

Keywords:

Social Big Data, young people, adolescents, dataficattion, social networks

Abstract

The aim of this study is to identify the academic research related to the behaviour and communication consumption of minors and young people on the internet through the use of a Social Big Data (SBD) methodology. A systematic review has identified 58 scholarly works published between 2010 and 2020. This article has summarised the most widely studied aspect of the issue, as well as the countries that have conducted the largest amount of research, the academic profile of the journals, research techniques based on SBD, and the most relevant findings. The main conclusions are that scientists currently use SBD to understand the uses and effects of adolescent online activity by analysing large amounts of data in real time, and also to create algorithms that make it possible to identify trends in adolescent risk. It has been confirmed that there is a scarce amount of academic research related to this topic in social science journals, and there is also a shortage of an association and coauthorship between communicologists and sociologists and scientists with a technical background which is necessary in order to achieve a greater understanding of the situation and increase the number of publications related to this issue.

Downloads

Download data is not yet available.

Global Statistics

1768 Views	2205 Downloads
3973 Total

Downloads by format:

PDF (Spanish) 739 PDF 184 EPUB (Spanish) 185 EPUB 175 HTML (Spanish) 804 HTML 118

Author Biographies

Rebeca Suárez-Álvarez, Rey Juan Carlos University, Spain

Assistant Professor at University Rey Juan Carlos (Department of Communication and Sociology). She also holds a PhD in Social Communication from CEU San Pablo University, as well as a Bachelor’s
Degree in Journalism from Complutense University of Madrid (UCM). In addition, Professor Suárez has completed two master’s degrees: one in Radio from CEU San Pablo University and another in Communication of Public Institutions and Policies from UCM. Her main lines of research are communication and vulnerable audiences (specifically minors), digital media, media literacy and digital competence. She has participated in diverse research projects, and is currently working as a researcher on the project entitled, “New scenarios of digital vulnerability: media literacy for an inclusive society” (PROVULDIG-2-CM) (ref. H2019/HUM5775), funded by the Autonomous Region of Madrid (CAM) and the European Social Fund. She is also a member of the research group focused on Communication, Society and Culture (GICOMSOC).
Antonio García-Jiménez, Rey Juan Carlos University, Spain

Journalism Chair at University Rey Juan Carlos (Department of Communication and Sociology). Professor García-Jiménez holds a PhD in Information Sciences, and is the former Dean of the Faculty
of Communication Sciences at University Rey Juan Carlos (2008-2014). In addition, he has held the position of director of the Master’s Degree in Communication and Sociocultural Problems (2015-2018), and has served as a Lecturer for the Bachelor’s Degree in Journalism programme, as well as several Master’s Degree Programmes in Communication (Social Media, Data Journalism). Professor García-Jiménez also holds the post of Principal Investigator of the research group focused on communication, society, and culture (GICOMSOC). He has led or participated in 19 research projects related to digital use and risk for adolescents, and is the author of a large number of influential publications, both national and international.

References

Alsehaima, A. O., & Alanazi, A. A. (2018). Psychological and social risks to children of using the internet: Literature

Review. Journal of Child Adolescent Behaviour, 6(380), 2. http://dx.doi.org/10.4172/2375-4494.1000380

Aparici, R., & García Matilla, A. (2016). ¿Qué ha ocurrido con la educación en comunicación en los últimos 35 años?:

pensar el futuro. Espacios en Blanco. Revista de Educación (Serie Indagaciones). https://bit.ly/2Twn6ko

Arcila-Calderón, C., Barbosa-Caro, E., & Cabezuelo-Lorenzo, F. (2016). Técnicas BD: análisis de textos a gran escala para la

investigación científica y periodística. El profesional de la información, 25(4), 623-631. https://doi.org/10.3145/epi.2016.

jul.12

Arellano Toledo, W. (2014). Gobierno abierto y privacidad: la problemática del Big data y el cómputo en la

nube. Virtualis, 5(10), 34-59. https://bit.ly/2FADr3y

Batty, M. (2013). Big Data, smart cities and city planning. Dialogues in Human Geography, 3(3), 274-279. http://dx.doi.

org/10.1177/2043820613513390

Bell, G., Hey, T. & Szalay, A. (2009). Beyond the data deluge. Science, 323, 1297–1298. http://dx.doi.org/10.1126/

science.1170411.

Bello-Orgaz, G., Jung, J. J., & Camacho, D. (2016). Social big data: Recent achievements and new challenges. Information

Fusion, 28, 45-59. https://doi.org/10.1016/j.inffus.2015.08.005

Boyd, D. & Crawford, K. (2012). Critical Questions for Big Data. Provocations for a Cultural, Technological, and Scholarly

Phenomenon. Information, Communication & Society, 15(5), 662–679. https://doi.org/10.1080/1369118X.2012.678878

Centro de Estudios Cervantinos (2020). Cuáles son las ramas de las ciencias sociales. https://www.centroestudioscervantinos.

es/ramas-de-las-ciencias-sociales/

Cerezo Gilarranz, J. (2015). Big Data, la nueva ciencia del siglo XXI. En: Pérez-Hernández y Torra (eds). Big Data. Revista de

Ciencias y Humanidades de la Fundación Ramón Areces, 14, 7-11. https://bit.ly/3hsHTyA

DeJonckheere, M., Nichols, L. P., Vydiswaran, V. V., Zhao, X., Collins-Thompson, K., Resnicow, K., & Chang, T. (2019).

Using text messaging, social media, and interviews to understand what pregnant youth think about weight gain during

pregnancy. JMIR formative research, 3(2): e11397. https://doi.org/10.2196/11397

Díaz-Campo, J. (2015). Análisis bibliométrico de las tesis doctorales sobre Ética de los Medios de Comunicación

presentadas en España (1979-2013). Doxa Comunicación, 65-88. https://doi.org/10.31921/doxacom.n20a3

Falzone, A. E., Brindis, C. D., Chren, M. M., Junn, A., Pagoto, S., Wehner, M., & Linos, E. (2017). Teens, tweets, and tanning

beds: rethinking the use of social media for skin cancer prevention. American journal of preventive medicine, 53(3),

S86-S94. https://doi.org/10.1016/j.amepre.2017.04.027

Fondo de las Naciones Unidas para la Infancia (UNICEF, 2019). Barómetro de Opinión de Infancia y Adolescencia 2019.

https://www.unicef.es/publicacion/que-opinan-los-ninos-y-las-ninas

Giménez, A. M., Luengo, J. A., & Bartrina, M. J. (2017). ¿Qué hacen los menores en internet? Usos de las TIC, estrategias de

supervisión parental y exposición a riesgos. Electronic Journal of Research in Education Psychology, 15(3), 533-552. http://

dx.doi.org/10.14204/ejrep.43.16123

Gualda, E., & Rebollo, C. (2020). Big Data y Twitter para el estudio de procesos migratorios: Métodos, técnicas de

investigación y software. Empiria. Revista de metodología de ciencias sociales, 46, 147-177. https://doi.org/10.5944/

empiria.46.2020.26970

Han, Y., Kim, H., Song, J., & Song, T. M. (2019). Ontology development of school bullying for social big data collection and

analysis. The Journal of the Korea Contents Association, 19(6), 10-23. https://doi.org/10.3390/ijerph16142596

Hernández-Leal, E. J., Duque-Méndez, N. D., & Moreno-Cadavid, J. (2017). Big Data: una exploración de investigaciones,

tecnologías y casos de aplicación. TecnoLógicas, 20(39), 17-24. http://www.scielo.org.co/pdf/teclo/v20n39/v20n39a02.

pdf

Hey, T., Tansley, S., & Tolle, K. (2009). The Fourth Paradigm: Data-Intensive Scientific Discovery. Washington: Microsoft

Research.

Jiménez, E., Garmendia, M., & Casado, M. A. (2018). Entre selfies y whatsapps. Oportunidades y riesgos para la infancia y la

adolescencia conectada. Barcelona: Gedisa.

Joyanes Aguilar, L. (2016). Big Data, Análisis de grandes volúmenes de datos en organizaciones. Alfaomega Grupo Editor.

Jung, H., Park, HA., & Song, TM. (2016). Development and Evaluation of an Adolescents´ Depression Ontology for an

Analysing Social Data. En: SERMEUS, et al., (Eds.) Nursing Informatics 2016: EHealth for All: Every Level Collaboration–

From Project to Realization, 225-442. Amsterdam: IOS Press BW.. https://doi.org/10.3233/978-1-61499-658-3-442

Jung, H., Park, HA., & Song, TM. (2017). Ontology-based approach to social data sentiment analysis: detection of adolescent

depression signals. Journal of medical internet research, 19(7), e259. https://doi.org/10.2196/jmir.7452

Kim, H., Han, Y., Song, J., & Song, T. M. (2019). Application of social big data to identify trends of school bullying forms in

South Korea. International journal of environmental research and public health, 16(14), 2596. https://doi.org/10.3390/

ijerph16142596

Kosinski, M., & Behrend, T. (2017). Editorial overview: Big data in the behavioral sciences. Current Opinion in Behavioral

Sciences, 18, iv–vi. https://doi.org/10.1016/j.cobeha.2017.11.007

Kumar A., Sangwan S.R., Nayyar A. (2020) Multimedia Social Big Data: Mining. In: Tanwar S., Tyagi S., Kumar N. (eds)

Multimedia Big Data Computing for IoT Applications. Intelligent Systems Reference Library, 163. Springer, Singapore.

https://doi.org/10.1007/978-981-13-8759-3_11

Lara Palma, A. M., & Giancinto, R. (2017). Ethical Machines against Unethical Computer-mediated Social

Interactions. Journal of Information and Management, 37(2), 22-38. https://doi.org/10.20627/jsim.37.2_22

Leung, X. Y., Sun, J., & Bai, B. (2017). Bibliometrics of social media research: A co-citation and co-word analysis. International

Journal of Hospitality Management, 66, 35-45. https://doi.org/10.1016/j.ijhm.2017.06.012

Livingstone, S., Mascheroni, G., & Staksrud, E. (2018). European research on children’s internet use: Assessing the past and

anticipating the future. New Media & Society, 20(3), 1103-1122 https://doi.org/10.1177/1461444816685930

López Cantos, F. J. (2018). Cultura visual y conocimiento científico: Comunicación transmedia de la ciencia en la era Big

Data. Barcelona: Editorial UOC.

Malvicino, F., & Yoguel, G. (2014). Big Data. Avances recientes a nivel internacional y perspectivas para el desarrollo

local. Documento de Trabajo. Centro Interdisciplinario de Estudios en Ciencia Tecnología e Innovación (CIECTI-MinCyT).

Buenos Aires. https://bit.ly/3cFeizD

Manovich, L. (2011). Trending: The promises and the challenges of big social data. En Gold (eds) Debates in the digital

humanities, 460-475. London: University Minnesota Press.

Martínez-Martínez, S., & Lara-Navarra, P. (2014). El big data transforma la interpretación de los medios sociales. El

profesional de la información, 23(6), 575-581. https://doi.org/10.3145/epi.2014.nov.03

Matsumoto, K., Ren, F., Matsuoka, M., Yoshida, M., & Kita, K. (2019). Slang feature extraction by analysing topic change on

social media. CAAI Transactions on Intelligence Technology, 4(1), 64-71. https://doi.org/10.1049/trit.2018.1060

Matsumoto, K., Yoshida, M., & Kita, K. (2019). Emotion Recognition for Japanese Short Sentences Including Slangs Based

on Bag of Concepts Feature Trained by Large Web Text. Current Analysis on Instrumentation and Control, 2019(2), 9-18.

https://bit.ly/2XeP6dk

Mayer-Schönberger, V. & Cukier, K. (2013). Big Data. La revolución de los datos masivos. London: Turner.

Montgomery, K. C. (2015). Youth and surveillance in the Facebook era: Policy interventions and social

implications. Telecommunications Policy, 39(9), 771-786. http://dx.doi.org/10.1016/j.telpol.2014.12.006

Nupairoj, N. (2016). El ecosistema de la alfabetización mediática: Un enfoque integral y sistemático para divulgar la

educomunicación. Comunicar, 24(49), 29-37. https://doi.org/10.3916/C49-2016-03

O’Neil C. (2013). The rise of big data, big brother. https://bit.ly/3eR7Jvi

Paredes-Moreno, A. (2015). Big Data: Estado de la cuestión. International Journal of Information Systems and Software

Engineering for Big Companies (IJISEBC), 2(1), 38-59.

Pérez, M. (2015). BIG DATA-Técnicas, herramientas y aplicaciones. Alfaomega Grupo Editor.

Pérez, M. J. (2016). Davos y la cuarta revolución industrial. Nueva Revista, 157. https://bit.ly/3wIUnLp

Pybus, J., Coté, M., & Blanke, T. (2015). Hacking the social life of big data. Big Data & Society, 2(2), 1-10. https://doi.

org/10.1177/2053951715616649

Qin, S. J. (2014). Process data analytics in the era of bid data. AIChE Journal, 60(9), 3092-3100. https://doi.org/10.1002/

aic.14523

Ramírez-Montoya, M., & García-Peñalvo, F. (2018). Co-creation and open innovation: Systematic literature

review. Comunicar. Media Education Research Journal, 54, 9-18. https://doi.org/10.3916/C54-2018-01

Russell, M. A. (2013). Mining the Social Web: Data Mining Facebook, Twitter, LinkedIn, Google+, GitHub, and More.

Sebastopol: O’Reilly Media, Inc.

Sætra, H. S. (2018). Science as a vocation in the era of big data: The philosophy of science behind big data and humanity’s

continued part in science. Integrative Psychological and Behavioral Science, 52, 508-522. https://doi.org/10.1007/

s12124-018-9447-5

Sánchez-Bayón, A. (2017). Apuntes para una teoría crítica humanista y su praxis económico-empresarial en la

posglobalización. Miscelánea Comillas. Revista de Ciencias Humanas y Sociales, 75(147), 305-329. https://bit.ly/2RtY188

Schwab, K. (2017). The fourth industrial revolution. London: Currency.

Shuijing, H. (2015). Big Data Mining: Essential Technologies and Concerns. In Proceedings of the 2015 Sixth International

Conference on Digital Manufacturing and Automation. 88-92. https://bit.ly/3dA77dd

Song, J., Song, T-M., & Lee, J. R. (2018). Stay alert: Forecasting the risks of sexting in Korea using social big data. Computers

in Human Behavior, 81, 294-302. https://doi.org/10.1016/j.chb.2017.12.035

Song, J., Song, T-M., Seo, D. C., & Jin, J. H. (2016). Data mining of web-based documents on social networking sites that

included suicide-related words among Korean adolescents. Journal of Adolescent Health, 59(6), 668-673. http://dx.doi.

org/10.1016/j.jadohealth.2016.07.025

Song, T., & Song, J. (2015). Social Big Data Analysis and Utilization Methodologies-With Special Reference to Forecasting the

dangers of sexting in Korea using social big data. https://bit.ly/2Zbpq2d

Song, T., Song, J., An, J. Y., & Woo, J. M. (2014). Social Risk Factor Prediction Utilizing Social Big. Kihasa. https://bit.

ly/3c4sq6D

Tapia Nava, E. (2018). El uso del Big Data en los estudios de opinión pública. Instituto Belisario Domínguez Dirección

General de Análisis Legislativo. https://bit.ly/2z7HUb4

Tarwani, N., Chorasia, U., & Shukla, P. K. (2017). Survey of Cyberbulling Detection on Social Media Big-Data. International

Journal of Advanced Research in Computer Science, 8(5), 831-835.

Taylor-Sakyi, K. (2016). Big data: Understanding big data. arXiv preprint arXiv:1601.04602.

Törnberg, P., & Törnberg, A. (2018). The limits of computation: A philosophical critique of contemporary Big Data

research. Big Data & Society, 5(2), 1-12. https://doi.org/10.1177/2053951718811843

Uman, I. (2018). Big Data y Memoria Digital: claves para su exploración e investigación desde las ciencias sociales. Avatares

de la Comunicación y la Cultura, 15. https://bit.ly/3gRtOeR

UN Global Pulse, IAPP. (2018). Building Ethics into Privacy Frameworks for Big Data and AI. https://bit.ly/3sYaySp

van Dijck, J. (2014). Datafication, dataism and dataveillance: Big Data between scientific paradigm and ideology. Surveillance

& society, 12(2), 197-208. https://doi.org/10.24908/ss.v12i2.4776

van Eck, N. J., & Waltman, L. (2014). Visualizing bibliometric networks. In: Ding Y., Rousseau R., Wolfram D. (eds) Measuring

Scholarly Impact, 285-320. Springer, Cham. https://doi.org/10.1007/978-3-319-10377-8_13

Wohlin, C. (2014). Guidelines for snowballing in systematic literature studies and a replication in software engineering.

In: Proceedings of the 18th international conference on evaluation and assessment in software engineering, 38, 1-10. https:// doi.org/10.1145/2601248.2601268