scholarly journals Limites ao acesso de autoridades públicas a big data: evolução legislativa e governança regulatória

2021 ◽  
Vol 66 (2) ◽  
pp. 9
Author(s):  
Carlos Emmanuel Joppert Ragazzo ◽  
Marina Rodrigues Cyrino Baleroni ◽  
Douglas Wilson Marostica Leite Junior
Keyword(s):  
Big Data ◽  
Over The Top

Com o aumento da utilização de plataformas de distribuição de conteúdo pela internet (conhecidas como over the top ou OTTs) em diversos setores no Brasil, um volume cada vez mais considerável de dados vem sendo armazenado por empresas de tecnologia, havendo, ainda, pouco consenso sobre condições de repasse desses dados às autoridades públicas em atendimento a solicitações ou mesmo em parcerias realizadas entre agentes públicos e privados. Diante desse cenário, este artigo tem por objetivo refletir sobre os limites do poder público no acesso às informações privadas de indivíduos, especialmente quanto a big data. Para tanto, analisa-se a evolução dos pedidos de dados apresentados por governos a particulares e o contexto em que tais solicitações se operam. Expõem-se, também, os riscos associados ao tratamento de dados pessoais pelo poder público, além dos marcos regulatórios aplicáveis. O resultado da análise indica as tendências dos ciclos de acesso a dados pelo governo. Por fim, conclui-se que o poder público não deve estar autorizado a solicitar dados pessoais se não houver meios de comprovar que possui capacidade técnica para realizar o tratamento das informações recebidas e armazená-las com segurança, garantindo-lhes confidencialidade.

A Closer Look at Direct Carrier Billing

2020 ◽  
Vol 10 (4) ◽  
pp. 18-40
Author(s):  
Lorena Herrera López
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Mobile Network ◽  
Marketing Channels ◽  
Digital Marketing ◽  
Mobile Service ◽  
Web Analytics ◽  
Network Operator ◽  
Over The Top

The impulse to digitalization by telecom operators requires the commercialization of over-the-top services (OTT) based on the fine understanding and prediction of customer behaviour through pattern recognition involving big data, resulting in an essential part of web analytics and digital marketing. The objective of this research is to analyse factors influencing the purchase and use of a mobile game commercialized by a mobile network operator (MNO), through different digital marketing channels and using direct carrier billing (DCB) as payment channel. The novelty contribution of this study is twofold. Firstly, it assesses determinants related to the purchase and use of a mobile service through the analysis of variables identified in the scientific literature's review. In addition, it also incorporates a set of variables based on data retrieved from big data analytics. Secondly, this research analyses the willingness of consumers to pay through DCB.

Big Data Analysis for Effective Monetization of over the Top TV Content

2015 ◽  
Author(s):  
Arnav Mendiratta ◽  
Steve Wong ◽  
Reinhard Grimm ◽  
Jay Yogeshwar ◽  
Shane Archiquette
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Big Data Analysis ◽  
Over The Top

scholarly journals Identyfikacja trendów w polskich mediach na przykładzie kwartalnika „Studia Medioznawcze”. Wykorzystanie narzędzi Big Data

2019 ◽  
Vol 21 (1) ◽  
Author(s):  
Piotr Pruchnik
Keyword(s):  
Virtual Reality ◽  
Big Data ◽  
Over The Top

Rynek mediów rozwija się dynamicznie, dlatego ważne jest właściwe prognozowanie trendów. Cel/teza: Celem artykułu jest identyfikacja trendów w polskich mediach. Metody badań: W artykule zaprezentowano unikalną metodykę rafinacji informacji Big Data do analizy trendów w mediach. Jako materiał źródłowy posłużyły teksty zamieszczone w kwartalniku „Studia Medioznawcze”. Do analizy wykorzystano narzędzia eksploracji danych oraz Big Data. Wyniki i wnioski: Sformułowano własną prognozę trendów mediów na bazie publikacji naukowych i porównano ją z przygotowaną przez firmę konsultingową PwC. Wartość poznawcza: Wyniki wykazują znaczne rozbieżności. Najbardziej perspektywiczne dziedziny w raporcie PwC – VR (virtual reality) oraz OTT (over the top) – nie mają potwierdzenia w artykułach naukowych.

Big data goes over the top

2018 ◽  
Vol 239 (3186) ◽  
pp. 43
Author(s):  
David Betz
Keyword(s):  
Big Data ◽  
Over The Top

Find Out About 'Big Data' to Track Outcomes

ASHA Leader ◽  
2013 ◽  
Vol 18 (2) ◽  
pp. 59-59
Keyword(s):  
Big Data

Find Out About 'Big Data' to Track Outcomes

Correlating Personality and Actual Phone Usage

2014 ◽  
Vol 35 (3) ◽  
pp. 158-165 ◽  
Author(s):  
Christian Montag ◽  
Konrad Błaszkiewicz ◽  
Bernd Lachmann ◽  
Ionut Andone ◽  
Rayna Sariyska ◽  
...  
Keyword(s):  
Big Data ◽  
Social Network ◽  
Mobile Phone ◽  
Mobile Phones ◽  
Self Report ◽  
Psychological Variables ◽  
New Approach ◽  
Report Data ◽  
Self Report Data ◽  
Voice Calls

In the present study we link self-report-data on personality to behavior recorded on the mobile phone. This new approach from Psychoinformatics collects data from humans in everyday life. It demonstrates the fruitful collaboration between psychology and computer science, combining Big Data with psychological variables. Given the large number of variables, which can be tracked on a smartphone, the present study focuses on the traditional features of mobile phones – namely incoming and outgoing calls and SMS. We observed N = 49 participants with respect to the telephone/SMS usage via our custom developed mobile phone app for 5 weeks. Extraversion was positively associated with nearly all related telephone call variables. In particular, Extraverts directly reach out to their social network via voice calls.

“Big Data in Psychology: Methods and Applications”

2017 ◽  
Vol 225 (3) ◽  
pp. 287-288
Keyword(s):  
Big Data

An associated conference will take place at ZPID – Leibniz Institute for Psychology Information in Trier, Germany, on June 7–9, 2018. For further details, see: http://bigdata2018.leibniz-psychology.org

When the Sample Is the Population: Big Data

PsycCRITIQUES ◽  
2014 ◽  
Vol 59 (2) ◽  
Author(s):  
David J. Pittenger
Keyword(s):  
Big Data
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