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Comunicar Journal 74: Education for digital citizenship: Algorithms, automation and communication (Vol. 31 - 2023)

Big Data and Business Intelligence on Twitter and Instagram for digital inclusion

https://doi.org/10.3916/C74-2023-04

Carlos Barroso-Moreno

Laura Rayon-Rumayor

Antonio Bautista García-Vera

Abstract

Social media can contribute to an inclusive society, but they are also asymmetrical and polarised communication spaces. This requires competent teachers to build critical digital citizenship. The aim of this article is twofold: to present web scraping and text analytics as tools that define teachers' digital competences, and to investigate which posts on Twitter and Instagram are most viral in relation to education, disability and inclusion. A total of 48,991 publications in Spanish and English were analysed, corresponding to the period from 13 October 2021 to 1 May 2022. The 100 most viral posts were selected, and correlations were identified between the sentiment, gender and influence associated with the content, its temporal and geographic space. The results show that economic and political influence groups are the most viral, relegating non-profit organisations or individuals with altruistic outreach to second place; only on international days is this trend reversed. Bots do not interfere to impose messages; it is artificial intelligence algorithms that overshadow vindictive and humanistic content. The most influential people are predominantly male, associated with institutional accounts in the political sphere. It is concluded that Big Data and Business Intelligence tools help teachers to analyse relevant educational and social issues, and to acquire a collective ethic in the face of new educational challenges.

Keywords

Social network analysis, Big Data, education, disability, digital inclusion, influence groups

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References

Arcila-Calderón, C., Sánchez-Holgado, P., Quintana-Moreno, C., Amores, J., & Blanco-Herrero, D. (2022). Hate speech and social acceptance of migrants in Europe: Analysis of tweets with geolocation. [Discurso de odio y aceptación social hacia migrantes en Europa: Análisis de tuits con geolocalización]. Comunicar, 71, 21-35. https://doi.org/10.3916/C71-2022-02

Awidi, I.T., Paynter, M., & Vujosevic, T. (2019). Facebook group in the learning design of a higher education course: An analysis of factors influencing positive learning experience for students. Computers & Education, 129, 106-121. https://doi.org/10.1016/j.compedu.2018.10.018

Barberá, P. (2015). Birds of the same feather tweet together: Bayesian ideal point estimation using twitter data. Political Analysis, 23(1), 76-91. https://doi.org/10.1093/pan/mpu011

Barberá, P., Jost J.T., Nagler, J., Tucker J.A., & Bonneau, R. (2015). Tweeting from left to right: Is online political communication more than an echo chamber? Psychological Science, 26(10), 1531-1542. https://doi.org/10.1177/0956797615594620

Bautista, A. (2021). Functional resignification and technological innovation as a digital teaching competence. IEEE. Revista Iberoamericana de Tecnologías del Aprendizaje, 16(1), 93-99. https://doi.org/10.1109/RITA.2021.3052679

Becker, L.T., & Gould, E.M. (2019). Microsoft power BI: Extending excel to manipulate, analyze, and visualize diverse data. Serials Review, 45(3), 184-188. https://doi.org/10.1080/00987913.2019.1644891

Brady, W.J., Wills, J.A., Burkart, D., Jost, J.T., & Van-Bavel, J.J. (2019). An ideological asymmetry in the diffusion of moralized content on social media among political leaders. Journal of Experimental Psychology: General, 148(10), 1802–1813. https://doi.org/10.1037/xge0000532

Brunner, M., Palmer, S., Togher, L., & Hemsley, B. (2019). 'I kind of figured it out': The views and experiences of people with traumatic brain injury in using social media-self-determination for participation and inclusion online. International Journal Language & Communication Disorders, 54(2), 221-233. https://doi.org/10.1111/1460-6984.12405

Carlsson (Ed.) (2019). Understanding media and information literacy (MIL) in the digital age. A question of democracy. University of Gothenburg. https://bit.ly/3xWsCz2

Cheng, L.C., & Tsai, S.L. (2019). Deep learning for automated sentiment analysis of social media. In F. Spezzano, W. Chen, & X. Xiao (Eds.), Proceedings of the 2019 IEEE/ACM international conference on advances in social networks analysis and mining (pp. 1001-1004). Association for Computing Machinery. https://doi.org/10.1145/3341161.3344821

De-Groot, R., Kaal, L.H., & Wouter, Ph.S. (2022). The online lives of adolescents with mild or borderline intellectual disabilities in the Netherlands: Care staff knowledge and perceptions. Journal of Intellectual & Developmental Disability. https://doi.org/10.3109/13668250.2021.2004635

Del-Fresno-García, M. (2014). Haciendo visible lo invisible: Visualización de la estructura de las relaciones en red en Twitter por medio del análisis de redes sociales. Profesional de la Información, 23(3), 246-252. https://doi.org/10.3145/epi.2014.may.04

Del-Fresno-García, M. (2019). Desórdenes informativos: sobreexpuestos e infrainformados en la era de la posverdad. Profesional de la Información, 28(3), 1-11. https://doi.org/10.3145/epi.2019.may.02

Dellwing, M. (2021). The continuities of Twitter strategies and algorithmic terror. Society for the study of symbolic interaction. Sage. https://doi.org/10.1002/symb.585

Ditrendia (Ed.) (2020, July 9). Mobile en España y en el Mundo. Ditrendia Digital Marketing Trends. https://bit.ly/3MNim3j

Grace, E., Raghavendra, P., McMillan, J., & Gunson, J. (2019). Exploring participation experiences of youth who use AAC in social media settings: Impact of an e-mentoring intervention. Augmentative and Alternative Communication, 35(2), 132-141. https://doi.org/10.1080/07434618.2018.1557250

Hemsley, B., Dann, D., Palmer, S., Allan, M., & Balandin. S. (2018). Using Twitter to access the human right of communication for people who use Augmentative and Alternative Communication. International Journal of Speech-Language Pathology, 20(1) 50-58. https://doi.org/10.1080/17549507.2017.1413137

Ladogina, A., Samoylenko, I., Golovina, V., Razina, N., & Petushkova, E. (2020). Communication effectiveness in social networks of leading universities. Diálogo, 43, 35-50. https://doi.org/10.18316/dialogo.v0i43.6497

Liu, B. (2010). Sentiment analysis and subjectivity. In N. Indurkhya, & F.J. Damerau (Eds.), Handbook of Natural Language Processing. Chapman and Hall/CRC. https://doi.org/10.1201/9781420085938

Mitchell, R. (2018). Web scraping with Python: Collecting more data from the modern web. O'Reilly Media, Inc. https://bit.ly/3zw5nOn

Ortega-Sánchez, D., Blanch, J.P., Quintana, J.I., Cal, E., Fuente-Anuncibay, C., & Hate, R. (2021). Speech, Emotions, and Gender Identities: A Study of Social Narratives on Twitter with Trainee Teachers. International Journal of Environmental Research and Public Health, 18(8), 4055. https://doi.org/10.3390/ijerph18084055

Robles, J., Guevara, J., Casas-Mas, B., & Gómez, D. (2022). When negativity is the fuel. Bots and Political Polarization in the COVID-19 debate. [Cuando la negatividad es el combustible. Bots y polarización política en el debate sobre el COVID-19]. Comunicar, 71, 63-75. https://doi.org/10.3916/C71-2022-05

Tuzel, S., & Hobbs, R. (2017). The use of social media and popular culture to advance cross-cultural understanding. [El uso de las redes sociales y la cultura popular para una mejor comprensión intercultural]. Comunicar, 51, 63-72. https://doi.org/10.3916/C51-2017-06

We are social (Ed.) (2021). Digital 2021. The latest insights into the ‘state of digital’. We Are Social Ltd. https://bit.ly/3POIhJV

White, P., & Forrester-Jones, R. (2020). Valuing e-inclusion: Social media and the social networks of adolescents with intellectual disability. Journal of Intellectual Disabilities, 24(3), 381-397. https://doi.org/10.1177/1744629518821240