Presentation
Presentation in Webinar format about dystopia and reality in a view of Information Society. Hosted by FAJOPA Faculty, from Marília (Brazil).
Book Chapter
The goal of this study was to relate a science fiction narrative to the current context of Data Collection in OSNS – Online Social Network Services, aiming to build a perception of adherence between the imagined and the real.
An exploratory and descriptive methodology was adopted, with a qualitative and quantitative approach, with a method composed of an exploratory analysis of existing SRSO personal data collecting processes and a descriptive analysis of the form of personal data collecting identified in the sequences from a narrative of an audiovisual production.
The research universe was delimited to the SRSO to data collecting of Facebook, Twitter, and LinkedIn, with the sample composed by the episode Nosedive, part of the Black Mirror series.
For the découpage process of the sequences from the episode, it was identified characteristics referring to the data collection interfaces from OSNS, to filter the elements related to the theme in the sequences content.
The results confirmed the relationship between aspects of the OSNS data collection processes analyzed, with 7 similarities.
Presentation
15 minutes presentation about how to data scrape over government websites. Read more “Data scraping in government websites”
Dissertation
The development of social networks is a topic of study for several areas, and with the increased use of the Internet in professional and leisure activities, online social networks have emerged: services with the goal of providing an interface between individuals.
Some of these networks have millions of users, who agree and give their consent to the Terms of Use. The Terms of Use of these services contain the delimitation of the processes of data collection by external agents, creating a cascading effect of user identification and can enhance activities which are detrimental to user privacy.
This study looks to verify if the systematic data collection processes for documents which contain characteristics of the Application Programming Interfaces (APIs) data collection and the Terms of Use can help in identifying activities potentially harmful to user privacy (referenced) and reveal prerequisites of knowledge about the technology involved in this process, concepts prior to identifying characteristics and professional areas involved in understanding the technology of the API and the Terms of Use. Read more “Collection of data from social networks: privacy of personal data through access of the Application Programming Interface”