Folksonomies and post-truth: challenges for the knowledge organization
DOI:
https://doi.org/10.18617/liinc.v17i1.5706Keywords:
Folksonomy, Post-truth, Knowledge Organization, Ontology, DisinformationAbstract
This study sought to propose a redefinition for the concept of folksonomy from the identification and analysis of the characteristics, relationships and impacts of the post-truth as a phenomenon in the knowledge organization. The methodology used was based on an exploratory and qualitative investigation that was composed by the integration between the bibliographic research and the terminographic approach. It presents as focus of analysis a corpus made up of 120 articles published in the period from 2005 to 2021 in an international scope. Its results made it possible to characterize the phenomenon of post-truth and its implications in the field of knowledge organization; made possible a reflection on the theoretical and methodological bases that establish folksonomies as knowledge organization systems, which culminated in the understanding of folksonomy as an algorithmically directed mode of manifesting and imposing meanings and discourses based on the relational structures provided by the sociotechnical networks in digital context.
References
ALVES, Hugo.; SANTANCHÈ, André, 2011. Folksonomized Ontologies-from social to formal. In: XVII Brazilian symposium on multimedia and the web. 2011, p. 58-65.
ARAÚJO, C. A. V., 2020. O fenômeno da pós-verdade e suas implicações para a agenda de pesquisa na ciência da informação. Encontros Bibli: Revista Eletrônica de Biblioteconomia e Ciência da Informação [em linha]. 2020, v. 25, p. 1-17, 2020. [Acesso em 05 março 2021]. Disponível em: https://doi.org/10.5007/1518-2924.2020.e72673.
BARZILAI, S.; CHINN, C., 2020. A review of educational responses to the “post-truth” condition: four lenses on “post-truth” problems. Educational Psychologist [em linha]. 2020. v. 55. n. 3, p. 107-119. [Acesso em 20 março 2021]. Disponível em: https://www.tandfonline.com/doi/full/10.1080/00461520.2020.1786388.
CATUTTO, Ciro, 2006. Semiotic dynamics in online social communities. The European Physical Journal C. 2006, p. 33-37.
EUROPEAN COMMISSION, 2020. Proposal for a regulation of the european parliament and of the council on a Single Market For Digital Services (Digital Services Act) and amending Directive 2000/31. [em linha]. 2020. [Acesso em 30 março 2021]. Disponível em: https://ec.europa.eu/digital-single-market/en/laws.
ESTRADA-CUZCANO; Alonso.; ALFARO-MENDIVES, Karen.; SAAVEDRA-VÁSQUEZ, Valeria, 2020. Disinformation y misinformation, posverdad y fake News Precisiones conceptuales, diferencias, similitudes y yuxtaposiciones. Información, cultura y sociedad [em linha]. 2020. [Acesso em 20 março 2021]. Disponível em: http://revistascientificas.filo.uba.ar/index.php/ICS/article/view/7427/7057.
FALLIS, Don, 2015. What´s disinformation?. Library Trends [em linha]. 2015. v. 63, n. 3, p. 401-426. [Acesso em 8 março 2021]. Disponível em: https://www.ideals.illinois.edu/bitstream/handle/2142/89818/63.3.fallis.pdf.
FAROOQ, Umer, 2007. Evaluating tagging behavior in social bookmarking systems: metrics and design heuristics. International ACM SIGGROUP Conference on Supporting Group Work. 2007.
FEINBERG, Melanie, 2010. "Two kinds of evidence: how information systems form rhetorical arguments", Journal of Documentation [em linha]. 2010. v. 66 n. 4, p. 491-512. [Acesso em 8 março 2021]. Disponível em: https://doi.org/10.1108/00220411011052920.
FEITOSA, Ailton, 2006. Organização da informação na web: das tags à web semântica. Brasília, DF: Thesaurus. 131 p.
FREELON, Deen, 2017. Personalized information environments and their potential consequences for disinformation. In: Understanding and addressing the disinformation ecosystem, 2017. p. 5-12.
GROZA, Adrian, 2020. Detecting fake news for the new coronavírus by reasoning on the Covid-19 ontology [em linha]. 2020. [Acesso em 20 março 2021]. Disponível em: https://arxiv.org/pdf/2004.12330.pdf.
HJØRLAND, Birger, 2008. What is Knowledge Organization (KO)? Knowledge Organization [em linha]. 2008. v. 35, n. 3/2, p. 86-101. [Acesso em 10 março 2021]. Disponível em: https://www.ergon-verlag.de/isko_ko/downloads/ko35200823.pdf.
KALIL, Isabela.; SANTINI, Rose Marie, 2020. Coronavírus, Pandemia, Infodemia e Política. Relatório de pesquisa. São Paulo / Rio de Janeiro: FESPSP / UFRJ. 2020.
MAGALLÓN ROSA, Raúl, 2019. Unfaking News: como combater a desinformação. Porto: Media XXI. 2019.
McINTYRE, L., 2018. Posverdad. Madrid: Cátedra, 2018.
MEJIAS, Ulises, 2005. Tag literacy. [em linha] 2005. [Acesso em 20 março 2021]. Disponível em: https://blog.ulisesmejias.com/2005/04/26/tag-literacy/.
MOROZOV, Evgeny; MARCONDES, Claudio, 2018. Big tech: a ascensão dos dados e a morte da política. São Paulo: Ubu, 2018. 192 p.
MOURA, Maria Aparecida, 2009. Folksonomias, redes sociais e a formação para o tagging literacy: desafios para a organização da informação em ambientes colaborativos virtuais. Informação & Informação [em linha]. 2009. v. 14, n. 1esp, p. 25-45. [Acesso em 20 março 2021]. Disponível em: http://www.uel.br/revistas/uel/index.php/informacao/article/view/2196.
MOUSSELLY-SERGIEH, H.; EGYED-ZSIGMOND, E.; GIANINI, G.; DÖLLER, M.; PINON, J.-M.; KOSCH, H., 2014. Tag relatedness in image Folksonomies. Document Numerique [em linha]. 2014. v. 17, n. 2, p. 33-54. Disponível em: https://www.cairn.info/revue-document-numerique-2014-2-page-33.htm.
NAUMAN, Mohammad.; HUSSAIN, Fida., 2007. Common sense and folksonomy: Engineering an intelligent search system. International Conference on Information and Emerging Technologies [em linha]. 2007. p. 142-147. [Acesso em 30 março 2021]. Disponível em: https://ieeexplore.ieee.org/document/4381326.
O’REILLY, Tim, 2005. What Is Web 2.0? Design Patterns and Business Models for the Next Generation of Software. [em linha]. 2005. [Acesso em 8 março 2021]. Disponível em: http://www.oreilly.com/pub/a/web2/archive/what-is-web-20.html.
PAULA, Lorena Tavares de.; SILVA, Thiago dos Reis Soares da.; BLANCO, Yuri Augusto, 2018. Pós-verdade e Fontes de Informação: um estudo sobre fake news. Revista Conhecimento em Ação [em linha]. v. 3, n. 1, 2018. p.93-110. [Acesso em 20 março 2021]. Disponível em: https://revistas.ufrj.br/index.php/rca/article/view/16764.
QASSIMI, S.; ABDELWAHED, E.H. The role of collaborative tagging and ontologies in emerging semantic of web resources. Computing. v. 101, n. 10, 2019, p. 1489-1511.
RYABCHENKO, Natalia Anatolievna.; MALYSHEVA, Olga Petrovna., 2020. Characteristic features of modern political communication in the online-space. Voprosy Kognitivnoy Lingvistiki, v. 2020, n. 2, 2020, p. 101-113.
SALGADO, Isa Lice da Mota Rodrigues, 2019. A model of folksonomized ontologies for auditing financial institutions in Brazil. CEUR Workshop. 2019.
SAQUETE, E.; TOMÁS, D.; MOREDA, P.; MARTÍNEZ-BARCO, P.; Palomar, M., 2020. Fighting post-truth using natural language processing: a review and open challenges. Expert Systems with Applications [em linha]. 2020. [Acesso em 20 março 2021]. Disponível em: https://www.sciencedirect.com/journal/expert-systems-with-applications.
TANDOC JR, Edson C., LIM, Zheng Wei, LING, Richard, 2018. Defining “Fake News”: a typology of scholarly definitions. Digital Journalism [em linha]. 2018, v. 6. n. 2, p. 137-153. [Acesso em 20 março 2021]. Disponível em: https://www.tandfonline.com/doi/full/10.1080/21670811.2017.1360143.
VANDER WAL, Thomas, 2007. Folksonomy coinage and definition. [em linha]. 2007. [Acesso em 8 março 2021]. Disponível em: https://vanderwal.net/folksonomy.html.
VIG, Jesse, 2010. Intelligent tagging interfaces: beyond folksonomy. XXIII Annual ACM symposium on user interface software and technology. [em linha]. 2010. [Acesso em 30 março 2021]. Disponível em: https://dl.acm.org/doi/abs/10.1145/1866218.1866226.
WANG, S.; ZHUANG, Y.; HU, Z.; FEI, X., 2015. An ontology evolution method based on folksonomy. Journal of Applied Research and Technology. [em linha]. v. 13, n. 2, 2015, p. 177-187. [Acesso em 15 março 2021]. Disponível em: https://doi.org/10.1016/j.jart.2015.06.015.
WARDLE, Claire; DERAKHSHAN, Hossein, 2017. Information disorder: toward an interdisciplinary framework for researchand policy making. [em linha]. 2017. [Acesso em 30 março 2021]. Disponível em: https://rm.coe.int/information-disorder-toward-an-interdisciplinary-framework-for-researc/168076277c.
YADAV, Usha.; KAUR, Jaipreet.; DUHAN, Neelam., 2016. Semantically related tag recommendation using folksonomized ontology. III International Conference on Computing for Sustainable Global Development. 2016.
Downloads
Published
Issue
Section
License
Authors who publish with this journal agree to the following terms:
Authors retain copyright and grant Liinc em Revista the right of first publication with the work simultaneously licensed under a Creative Commons Attribution 4.0 International License.
The authors have permission and are encouraged to deposit their manuscripts and versios of record (VoR) in their personal web pages or institutional repositories, generic repositories etc., before (pre-print) or after (post-print) the publication in Liinc em Revista, according to its open access depositing policy registered in the Directory of Editorial Policies of Brazilian Journals (DIADORIM), kindly providing a link to the article published on Liinc's website.
Liinc em Revista, published by Instituto Brasileiro de Informação em Ciência e Tecnologia, is licensed under a Creative Commons Attribution 4.0 International License – CC BY 4.0