Alejandra Hernández-Ruiz e-mail(Login required) , Yoan Gutiérrez e-mail(Login required)

Main Article Content

Authors

Alejandra Hernández-Ruiz e-mail(Login required)
Yoan Gutiérrez e-mail(Login required)

Abstract

284

Apart from the economic impact of the online gambling industry, the social, public order and health-related consequences of the industry merit analysis to inform appropriate action, regulatory or otherwise. The omnipresence of ICTs, the inability to use technologies properly, along with the growth of online gambling channels, have acted simultaneously as a catalyst for the spread of pathological and problematic gambling. In this context, social networks have become a highly effective platform to instil positive attitudes towards the products of gambling operators. This work uses the Natural Language Processing based web application “GPLSI Social Analytics” to track, in real time, the conversations generated on Twitter about the Spanish domain accounts of the main online sports gambling operators. The findings indicate that most of the messages about these operators are positive and surprise is the predominant emotion associated with them. The notion of responsible online gambling barely receives a mention in the conversations analysed. Given the role of new technologies as access facilitators and potential enhancers of addictive behaviours, it is necessary to adopt measures directed at social networks that guarantee the coexistence of the right to freedom of expression with the protection of the most vulnerable populations.

Keywords

Online gambling, sports betting, Twitter, responsible gambling, sentiment analysis

References

Agarwal, A., Singh, R. & Toshniwal, D. (2018). Geospatial sentiment analysis using twitter data for UK-EU referendum. Journal of Information & Optimization Sciences, 39(1), 303-317. https://www.doi.org/10.1080/02522667.2017.1374735

Arcila-Calderón, C., Ortega-Mohedano, F., Jiménez-Amores, J. & Trullenque, S. (2017). Análisis supervisado de sentimientos políticos en español: clasificación en tiempo real de tuits basada en aprendizaje automático. El profesional de la información, 26(5), 973-982. https://www.doi.org/10.3145/epi.2017.sep.18

Autocontrol, Dirección General de Ordenación del Juego & Secretaría de Estado de Telecomunicaciones y para la Sociedad de la Información (2012, last update 2019). Código de Conducta sobre comunicaciones comerciales de las actividades de juego. Retrieved from http://bit.ly/2G1v3qE

Bradley, A. & James, R. J. E. (2019). How are major gambling brands using Twitter? International Gambling Studies, 19(3), 451-470. https://www.doi.org/10.1080/14459795.2019.1606927

Buil, P., Solé-Moratilla, M. J. & García-Ruiz, P. (2015). La regulación publicitaria de los juegos de azar online en España. Una reflexión sobre la protección del menor. Adicciones, 27(3), 198-204. https://www.doi.org/10.20882/adicciones.706

Canale, N., Griffiths, M. D., Vieno, A., Siciliano, V. & Molinaro, S. (2016). Impact of Internet gambling on problem gambling among adolescents in Italy: Findings from a large-scale nationally representative survey. Computers in Human Behavior, 57, 99-106. https://www.doi.org/10.1016/j.chb.2015.12.020

Cervera, J. L. (2018). ¿Promoción o conversación? Empleo de las redes sociales por parte de las empresas del sector del juego privado. In S. Mayorga-Escalada (Coord.), Branding digital. Relato, contenidos y comunicación de marca a través de dispositivos móviles (pp. 87-99). Sevilla: Egregius.

Cuesta-Cambra, U., Mañas-Viniegra, L., Niño-González, J. I. & Martínez-Martínez, L. (2019). El procesamiento cognitivo de la autorregulación publicitaria de los juegos de azar online en estudiantes universitarios. Revista Mediterránea de Comunicación, 10(2), 147-162. https://www.doi.org/10.14198/MEDCOM2019.10.2.4

Chóliz, M. (2013). Una propuesta de juego responsable en la situación española actual. Revista Infocop Online. Retrieved from http://bit.ly/38UTkuY

Chóliz, M. & Lamas, J. (2017). ¡Hagan juego, menores! Frecuencia de juego en menores de edad y su relación con indicadores de adicción al juego. Revista Española de Drogodependencias, 42, 34-47. Retrieved from http://bit.ly/2RbfZND

Dafonte-Gómez, A. (2014). Claves de la publicidad viral: de la motivación a la emoción en los vídeos más compartidos. Comunicar, 43, 199-207. https://www.doi.org/10.3916/C43-2014-20

Delfabbro, P., King, D. L. & Derevensky, J. L. (2016). Adolescent Gambling and Problem Gambling: Prevalence, Current Issues, and Concerns. Current Addiction Report, 3, 268-274. https://www.doi.org/10.1007/s40429-016-0105-z

Derevensky, J., Sklar, A., Gupta, R. & Messerlian, C. (2010). An Empirical Study Examining the Impact of Gambling Advertisements on Adolescent Gambling Attitudes and Behaviors. International Journal of Mental Health and Addiction, 8(21), 21-34. https://www.doi.org/10.1007/s11469-009-9211-7

Directorate General for the Regulation of Gambling [DGRG] (2018). Programa de Juego Responsable 2019-2022. Retrieved from https://bit.ly/39X633d

Directorate General for the Regulation of Gambling [DGRG] (2018). Programa de trabajo de Juego Responsable 2019-2020. Retrieved from https://bit.ly/2RdsTwU

Directorate General for the Regulation of Gambling [DGRG] (2019). Informe anual. Mercado de juego online estatal 2018. Retrieved from http://bit.ly/332Y3It

Effertz, T., Bischof, A., Rumpf, H. J., Meyer, C. & John, U. (2018). The effect of online gambling on gambling problems and resulting economic health costs in Germany. European Journal of Health Economics, 19, 967-978. https://www.doi.org/10.1007/s10198-017-0945-z

European Commission Recommendation of 14 July 2014 on principles for the protection of consumers and players of online gambling services and for the prevention of minors from gambling online (2014/478/UE) (OJEU L214, July 19, 2014). Retrieved from https://bit.ly/31YnNqm

Fernández, J., Gutiérrez, Y., Gómez, J. M. & Martínez-Barco, P. (2015). Social Rankings: análisis visual de sentimientos en redes sociales. Procesamiento del Lenguaje Natural, 55, 199-202. http://bit.ly/2qgvclf

Fernández, J., Llopis, F., Gutiérrez, Y., Martínez-Barco, P. & Díez, A. (2017). Opinion Mining in Social Networks versus Electoral Polls. Proceedings of Recent Advances in Natural Language Processing (pp. 231–237). Varna, Bulgaria, Sept. 4–6 2017. https://www.doi.org/10.26615/978-954-452-049-6_032

Fernández, J., Llopis, F., Martínez-Barco, P., Gutiérrez, Y. & Díez, A. (2017). Analizando opiniones en las redes sociales. Procesamiento del Lenguaje Natural, 58, 141-148. http://bit.ly/2Nv05KV

Gainsbury, S. M., King, D. L., Hing, N. & Delfabbro, P. (2015). Social media marketing and gambling: an interview study of gambling operators in Australia. International Gambling Studies, 15(3), 377-393. https://www.doi.org/10.1080/14459795.2015.1058409

Gainsbury, S. M., Delfabbro, P., King, D. L. & Hing, N. (2016). An Exploratory Study of Gambling Operators’ Use of Social Media and the Latent Messages Conveyed. Journal of Gambling Studies, 32(1), 125-141. https://www.doi.org/10.1007/s10899-015-9525-2

Gainsbury, S. M., King, D. L., Russell, A. M. T., Delfabbro, P., Derevensky, J. & Hing, N. (2016). Exposure to and engagement with gambling marketing in social media: Reported impacts on moderate-risk and problem gamblers. Psychology of Addictive Behaviors, 30(2), 270–276. https://www.doi.org/10.1037/adb0000156

García-Rudolph, A., Laxe, S., Sauri, J. & Bernabeu Guitat, M. (2019). Stroke Survivors on Twitter: Sentiment and Topic Analysis from a Gender Perspective. Journal of Medical Internet Research, 21(8), e14077. https://www.doi.org/10.2196/14077

Georgiadou, E., Angelopoulos, E. & Drake, H. (2020). Big data analytics and international negotiations: Sentiment analysis of Brexit negotiating outcomes. International Journal of Information Management, 51, Art. 102048. https://www.doi.org/10.1016/j.ijinfomgt.2019.102048

Hernández-Ruiz, A. (2020). Consumer protection on online gambling websites hosted by licensed operators in Spain. Adicciones, 32(3), 216-224. https://www.doi.org/10.20882/adicciones.1262

Hörnle, J., Schmidt-Kessen, M., Littler, A. & Padumadasa, E. (2019). Regulating online advertising for gambling – once the genie is out of the bottle… Information & Communications Technology Law, 28(3), 311-334. https://www.doi.org/10.1080/13600834.2019.1664001

Houghton, S., McNeil, A., Hogg, M. & Moss, M. (2019). Comparing the Twitter posting of British gambling operators and gambling affiliates: a summative content analysis. International Gambling Studies, 19(2), 312-326. https://www.doi.org/10.1080/14459795.2018.1561923

Infoadex (2019). Estudio Infoadex de la inversión publicitaria en España 2019. Madrid: Infoadex.

Interactive Advertising Bureau-IAB (2019a). Estudio Anual de Redes Sociales 2019. Retrieved from http://bit.ly/335cWtW

Interactive Advertising Bureau-IAB (2019b). VII Observatorio de marcas en redes sociales. Retrieved from https://bit.ly/2AufA2K

Iskender, E. & Bati, G. B. (2015). Comparing Turkish Universities Entrepreneurship and Innovativeness Index’s Rankings with Sentiment Analysis Results on Social Media. In S. Sener, E. Saridogan & S. Staub (Eds.), Procedia - Social and Behavioral Sciences: Vol. 195. World Conference on Technology, Innovation and Entrepreneurship (pp. 1543-1552). https://www.doi.org/ 10.1016/j.sbspro.2015.06.457

Killick, E. A. & Griffiths, M. D. (2020). A Content Analysis of Gambling Operators’ Twitter Accounts at the Start of the English Premier League Football Season. Journal of Gambling Studies, 36, 319-341. https://www.doi.org/10.1007/s10899-019-09879-4

Lamas, J. J., Santolaria, R., Estévez, A. & Jáuregui, P. (2018). Guía clínica específica. Jóvenes y juego online. Retrieved from https://bit.ly/3bEEHwP

Law 13/2011, of 27 May, on the regulation of gambling (BOE nº 127 of May 28, 2011). Retrieved from http://bit.ly/2TNtTY5

López, D. (2013). La regulación y autorregulación en la publicidad, patrocinio y actividades asociadas al juego online. In A. Palomar-Olmeda (Dir.), En torno al juego de azar. Actividad, regulación y actores (pp. 153-267). Cizur Menor: Thomson Reuters-Aranzadi.

McMullan, J. L. & Miller, D. (2010). Advertising the ‘New Fun-Tier’: Selling Casinos to Consumers. International Journal of Mental Health and Addiction, 8(1), 35-50. https://www.doi.org/10.1007/s11469-009-9201-9

Ministry of Health, Social Services and Equality (2017). Estrategia Nacional sobre Adicciones 2017-2024. Retrieved from http://bit.ly/2Ref9jg

O’Neill, B. (2013). Who cares? Practical ethics and the problem of underage users on social networking sites. Ethics and Information Technology, 15, 253-262. https://www.doi.org/10.1007/s10676-013-9331-4

Paul, N. & Sui, M. (2019). I Can Feel What You Feel: Emotion Exchanges in Twitter Conversations between Candidates and the Public. Journal of Political Marketing, 0, 1-21. https://www.doi.org/10.1080/15377857.2019.1684419

Pérez, S., Alcaraz, B., Pérez, G. & Yahón, A. (2018). Juventud y juegos de azar. Una visión general del juego en los jóvenes. Madrid: Instituto de la Juventud. Retrieved from http://bit.ly/38pO6Hj

Royal Decree 958/2020, of November 3, on Commercial communications of gambling activities (BOE nº 291 of November 4, 2020). Retrieved from https://bit.ly/3piu2jm.

Rubio-García, L. (2018). Apuestas deportivas online: percepción adolescente y regulación publicitaria. Methaodos, revista de ciencias sociales, 6(1), 139-148. https://www.doi.org/10.17502/m.rcs.v6i1.207

Salas-Zarate, M. D., Medina-Moreira, J., Lagos-Ortiz, K., Luna-Aveiga, H., Rodríguez-García, M. A. & Valencia-García, R. (2017). Sentiment Analysis on Tweets about Diabetes: An Aspect-Level Approach. Computational and Mathematical Methods in Medicine. https://www.doi.org/10.1155/2017/5140631

Serrano-Puche, J. (2016). Internet y emociones: nuevas tendencias en un campo de investigación emergente. Comunicar, 46, 19-26. https://www.doi.org/10.3916/C46-2016-02

Sklar, A. & Derevensky, J. L. (2010). Way to Play: Analyzing Gambling Ads for Their Appeal to Underage Youth. Canadian Journal of Communication, 35(4), 533-554. https://www.doi.org/10.22230/cjc.2010v35n4a2331

Ullmann, S. & Tomalin, M. (2020). Quarantining online hate speech: technical and ethical perspectives. Ethics and Information Technology, 22, 69-80. https://www.doi.org/10.1007/s10676-019-09516-z

Wang, Y., Zhao, Y., Zhang, J., Bian, J. & Zhang, R. (2019). Detecting associations between dietary supplement intake and sentiments within mental disorder tweets. Health Informatics Journal, 26(2), 803-815. https://www.doi.org/10.1177/1460458219867231

Metrics

Search GoogleScholar


Details

Article Details

Section
Articles