Abstract
Feminism is a complex phenomenon that has evolved in recent times. We can see it through different optics such as social media or traditional media. The aim of this project is to analyze, descriptively, how it has grown on a platform like YouTube. We are using new computer techniques and trying to understand how the concept evolves. Hence, in this paper, we will provide a language analysis that examines deliberative frameworks and online roles. Our study focuses on adding new methods that offer insights into the Digital Agora. The main outcomes show that the deliberation on YouTube, with regard to Spanish Feminism, has received an important and enormous increase especially since 2016, revealing two possible souls within that debate.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Bennett, W. L., Segerberg, A., Walker, S.: Organization in the Crowd: Peer Production in Large-Scale Networked Protests. Information, Communication & Society, 17(2), 232–260 (2014). https://doi.org/10.1080/1369118x.2013.870379.
Blei, D. M., Ng, A. I., Jordan, M. I.: Latent Dirichlet Allocation. The Journal of Machine Learning Research, 3, 993–1022 (3 January 2003). https://dl.acm.org/doi/abs/10.5555/944919.944937.
Cindo, M., Rini, D. P., Ermatita, E.: Sentiment Analysis on Twitter by Using Maximum Entropy and Support Vector Machine Method. SINERGI, 24(2), 1–8 (2020). https://doi.org/10.22441/sinergi.2020.2.002.
Covington, P., Adams, J., Sargin, E.: Deep Neural Networks for YouTube Recommendations. Proceedings of the 10th ACM Conference on Recommender Systems, 191–198 (2016). https://doi.org/10.1145/2959100.2959190.
Curran, J.: Medios de comunicación y poder en una sociedad democrática. Hacer (2005).
Davidson, J., Liebald, B., Liu, J., Nandy, P., Van Vleet, T., Gargi, U., Gupta, S., He, Y., Lambert, M., Livingston, B., Sampath, D.: The YouTube Video Recommendation System. Proceedings of the Fourth ACM Conference on Recommender Systems - RecSys’10, 293–296 (2010). https://doi.org/10.1145/1864708.1864770.
Feinerer, I., Hornik, K.: Package ‘tm (2019). https://bit.ly/2BtY53q.
Filho, D. B. F., Rocha, E. C. da, Júnior, J. A. da S., Paranhos, R., Silva, M. B. da, Duarte, B. S. F: Cluster Analysis for Political Scientists. Applied Mathematics, 5(15), 2408–2415 (2014). https://doi.org/10.4236/am.2014.515232.
GarcÃa-MarÃn, J., Calatrava, A., Luengo, Ó. G.: Debates electorales y conflicto. Un análisis con máquinas de soporte virtual (SVM) de la cobertura mediática de los debates en España desde 2008. El Profesional de La Información, 27(3), 624–632 (2018). https://doi.org/10.3145/epi.2018.may.15.
Granovetter, M.: The Strength of Weak Ties. American Journal of Sociology, 78(6), 1360–1380 (1973).
Graves, A., Mohamed, A., Hinton, G.: Speech Recognition with Deep Recurrent Neural Networks. 2013 IEEE International Conference on Acoustics, Speech and Signal Processing, 1–5 (2013). https://doi.org/10.1109/icassp.2013.6638947.
Haughton, P. Fourth-Wave Feminism and How Social Media Shapes Our Protests. Hashtag Activism (2019, March 6). https://bit.ly/2BppjbI.
Johnson, T. B.: Waves of Feminism and the Media. Lewis Honors College Capstone Collection, 32 (2017).
Justicia de la Torre, C., Sánchez, D., Blanco, I., MartÃn-Bautista, M. J.: Text Mining: Techniques, Applications, and Challenges. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 26(4), 553–582 (2018). https://doi.org/10.1142/s0218488518500265.
Katz, E., Lazarsfeld, P. F.: Personal Influence: The Part Played by People in the Flow of Mass Communications. Transaction Publishers (1955).
Klapper, J. T. The Effects of Mass Communication. Free Press (1960).
Knobloch-Westerwick, S.: Choice and Preference in Media Use. Routledge (2015).
Lindstedt, N. C.: Structural Topic Modeling For Social Scientists: A Brief Case Study with Social Movement Studies Literature, 2005–2017. Social Currents, 6(4), 307–318 (2019). https://doi.org/10.1177/2329496519846505.
Mao, Y., Tian, J., Han, J., Ren, X.: Hierarchical Text Classification with Reinforced Label Assignment. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), 1–14 (2019). https://doi.org/10.18653/v1/d19-1042.
McCombs, M., Shaw, D.: The Agenda-Setting Function of Mass Media. The Public Opinion Quarterly, 36(2), 176–187 (1972).
Pariser, E.: The Filter Bubble: What the Internet Is Hiding from You. Penguin Press (2011).
Petersen, M. B.: The Evolutionary Psychology of Mass Mobilization: How Disinformation and Demagogues Coordinate Rather Than Manipulate. Current Opinion in Psychology, 35, 71–75 (2020). https://doi.org/10.1016/j.copsyc.2020.02.003.
Robinson, D., Misra, K., Silge, J.: Package ‘widyr’ (2020). https://bit.ly/3eSOoKl.
Rubin, A. M.: The Uses-and-Gratifications Perspective of Media Effects. In J. Bryant & D. Zillmann (Eds.), LEA’s Communication Series. Media effects: Advances in theory and research, 525–548. Routledge (2002).
Scruggs, J. F.: The ‘Echo chamber’ Approach to Advocacy. Truth Tobacco Industry Documents Collections (1998). https://bit.ly/3gj5ukR.
Silge, J., Robinson, D.: Text Mining with R. O’Reilly (2017).
Søgaard, A., Vulić, I., Ruder, S., Faruqui, M., Hirst, G.: Cross-Lingual Word Embeddings. Macmillan Publishers (2019).
Spärck Jones, K.: A Statistical Interpretation of Term Specificity and Its Application in Retrieval. Journal of Documentation, 28(1), 11–21 (1972). https://doi.org/10.1108/eb026526.
Sunstein, C. (2007). Republic.com 2.0. Princeton University Press (1972). https://doi.org/10.2307/j.ctt7tbsw.
Talib, R., Kashif, M., Ayesha, S., Fatima, F.: Text Mining: Techniques, Applications and Issues. International Journal of Advanced Computer Science and Applications, 7(11), 1–5 (2016). https://doi.org/10.14569/ijacsa.2016.071153.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this chapter
Cite this chapter
Serrano-Contreras, IJ. (2021). NLP on YouTube: A Look on Feminism. In: Musiał-Karg, M., Luengo, Ó.G. (eds) Digitalization of Democratic Processes in Europe. Studies in Digital Politics and Governance. Springer, Cham. https://doi.org/10.1007/978-3-030-71815-2_10
Download citation
DOI: https://doi.org/10.1007/978-3-030-71815-2_10
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-71814-5
Online ISBN: 978-3-030-71815-2
eBook Packages: Political Science and International StudiesPolitical Science and International Studies (R0)