Banca de DEFESA: ALEXANDRA CECILIA OLIVEIRA FEITOSA

Uma banca de DEFESA de MESTRADO foi cadastrada pelo programa.
STUDENT : ALEXANDRA CECILIA OLIVEIRA FEITOSA
DATE: 17/02/2022
TIME: 10:00
LOCAL: Sala virtual
TITLE:

FINDABILITY OF INFORMATION IN PODCASTS: an analysis of the metadata model for audio formats

KEY WORDS:

Podcast; Findability; Metadata; Information Architecture; Digital Humanities.

PAGES: 122
BIG AREA: Ciências Sociais Aplicadas
AREA: Ciência da Informação
SUMMARY:

With the advancement of technologies and the emergence of new information environments, we have seen that subjects communicate and exchange information independently in cyberspace, producing informational stocks in different formats and that do not always become information “findable” by other subjects, triggering the difficulty in structure, language, standardization and adequate access. With the growing informational demand generated by audio formats, especially on podcast platforms, the problem begins in empirical research, reports and participatory observation, as well as in the experience in managing podcast content. Emerging the need for information findability in which the environments and information systems and the informational subjects are situated within this context. And with that, we have as an initial hypothesis, that your metadata model does not meet the essential requirements of findability. We outline as a general objective: to analyze the structure of this model, identifying, characterizing and applying each of the attributes of findability in directing subjects to its contents. While in the specific objectives, we revisit the information paradigms, describing the digital formats for podcasts and the properties of the object in the context of cyberculture. We used the quadripolar method, which considers the following poles: epistemological, from the perspective of the post-custodial paradigm; theoretical, considering, through literature review, the theories that the research deals with; technical, describing and instrumentalizing the investigation and, finally, the morphological, resulting in the analysis of the existing metadata corpus, making the study serve as a theoretical basis in the construction of a metadata corpus suitable for these digital objects

BANKING MEMBERS:
Presidente - 2858611 - MAJORY KAROLINE FERNANDES DE OLIVEIRA MIRANDA
Interna - 2226674 - SANDRA DE ALBUQUERQUE SIEBRA
Externa à Instituição - STPHANIE SA LEITAO GRIMALDI - UFPB