INVESTIGANDO MOVIMENTOS SOCIAIS CONTEMPORÂNEOS COM FERRAMENTAS DIGITAIS: UM GUIA PRÁTICO DE PESQUISA

Mariana Affonso Penna

doi:10.5216/ia.v48i3.75770

INVESTIGATING CONTEMPORARY SOCIAL MOVEMENTS WITH DIGITAL TOOLS: A PRACTICAL RESEARCH GUIDE

Authors

Mariana Affonso Penna Instituto Federal de Educação de Goiás (IFG), Goiânia, Goiás, Brasil, mariana.penna@ifg.edu.br https://orcid.org/0000-0001-5415-795X

DOI:

https://doi.org/10.5216/ia.v48i3.75770

Abstract

This article proposes a practical guide for researching contemporary political mobilizations and social movements using digital tools. It highlights the relevance of digital tools amidst the complex dynamics of activism in recent times, as well as the potential of Digital Humanities – a field of study that combines humanities and social sciences with digital technology – to deepen these investigations. To achieve this, it presents a guide divided into six steps, ranging from defining the problem to interpreting and communicating the results, using various tools and software. With this material, the aim is to assist researchers and contribute to an advancement in the understanding of contemporary social mobilizations.

KEYWORDS: Social Movements; Digital Humanities; Data Analysis; Research Guide.

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Author Biography

Mariana Affonso Penna, Instituto Federal de Educação de Goiás (IFG), Goiânia, Goiás, Brasil, mariana.penna@ifg.edu.br

Professora da Licenciatura em História no Instituto Federal de Educação, Ciência e Tecnologia de Goiás (IFG). Doutora em História pela Universidade Federal Fluminense (UFF), com estágio internacional na École des Hautes Études en Sciences Sociales (EHESS), e possui graduação e mestrado em História, também pela UFF. Além disso, possui Especialização em Sociologia Urbana pela Universidade do Estado do Rio de Janeiro (UERJ). Sua experiência acadêmica está concentrada na área de História Contemporânea, com ênfase nos temas de movimentos sociais, pensamento utópico e ucrônico, memória popular e história oral. Seus atuais interesses de pesquisa envolvem a aplicação de métodos e técnicas computacionais em Humanidades Digitais para a pesquisa e o ensino de História.

References

BENGFORT, Benjamin; BILBRO, Rebecca; OJEDA, Tony. Applied text analysis with Python: Enabling language-aware data products with machine learning. Sebastopol: O'Reilly Media, Inc., 2018.

BORGATTI, Stephen P.; EVERETT, Martin G.; JOHNSON, Jeffrey C. Analyzing social networks. Los Angeles: Sage, 2018.

FREELON, D.; MCILWAIN, C.; CLARK, M. (2018). Quantifying the power and consequences of social media protest. New Media & Society, Chicago, v. 20, n. 3, 990–1011. https://doi.org/10.1177/1461444816676646. Acesso em: 25 nov. 2023.

HEMMATIAN, Fatemeh; SOHRABI, Mohammad Karim. A survey on classification techniques for opinion mining and sentiment analysis. Artificial intelligence review, Chicago, v. 52, n. 3, p. 1495-1545, 2019. Disponível em: https://link.springer.com/journal/10462/volumes-and-issues/52-3. Acesso em: 25 nov. 2023.

MAHALUÇA, F. Noções de amostragem. Estatística Aplicada. Maputo: Researchgate, 2016.

MAHESHWARI, Anil. Data analytics made accessible. Seattle: Amazon Digital Services, 2014.

MCCANDLESS, David; MCCANDLESS, David. The visual miscellaneum: a colorful guide to the world's most consequential trivia. New York: Harper Design, 2012.

MCKINNEY, Wes. Python for Data Analysis. Sebastopol: O'Reilly Media, Inc., 2022.

MEHMOOD, Asad; PALLI, Abdul S.; KHAN, M. N. A. A study of sentiment and trend analysis techniques for social media content. International Journal of Modern Education and Computer Science, New York, v. 6, n. 12, p. 47, 2014. Disponível em: https://www.mecs-press.org/ijmecs/ijmecs-v6-n12/v6n12-7.html. Acesso em: 25 nov. 2023.

MITCHELL, Ryan. Web scraping with Python: Collecting more data from the modern web. Sebastopol: O'Reilly Media, Inc., 2018.

RUSSELL, Matthew A. Mining the social web: data mining Facebook, Twitter, LinkedIn, Google+, GitHub, and more. Sebastopol: O'Reilly Media, Inc., 2013.

SWEIGART, Al. Automate the boring stuff with Python: practical programming for total beginners. San Francisco: No Starch Press, 2019.

VAN ROSSUM, Guido et al. Python Programming Language. In: USENIX annual technical conference. 2007. p. 1-36.

VANDERPLAS, Jake. Python data science handbook: Essential tools for working with data. Sebastopol: O'Reilly Media, Inc., 2016.

WRISLEY, David et al. Visualization and the Digital Humanities: Moving Toward Stronger Collaborations. IEEE Computer Graphics and Applications, Sebastopol, v. 38, n. 6, p. 26-38, 2018. Disponível em: https://dblp.org/db/journals/cga/cga38.html. Acesso em: 25 nov. 2023.

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Published

2023-12-29

How to Cite

PENNA, M. A. INVESTIGATING CONTEMPORARY SOCIAL MOVEMENTS WITH DIGITAL TOOLS: A PRACTICAL RESEARCH GUIDE. Journal Inter-Ação, Goiânia, v. 48, n. 3, p. 603–617, 2023. DOI: 10.5216/ia.v48i3.75770. Disponível em: https://revistas.ufg.br/interacao/article/view/75770. Acesso em: 27 sep. 2024.

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Issue

Vol. 48 No. 3 (2023): Media, Technology and History: Research, Memory and Teaching

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Dossier Articles

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