Hugo: conteúdos geotiquetados em um mundo filtrado minimizando o ruído informacional.

Abstract

The expansion of physical, technological and informational mobility has reshaped the production and the consumption in Post-Industrial Journalism (ANDERSON, C.W., BELL, SHIRKY, 2012) and in Post-massive media (LEMOS, 2007). Behind those events, there are economic and sociocultural transformations of a media life (DEUZE, SPEERS, BLANK, 2010), or even (trans)mediatic (MARLET, MASSAROLO, 2015), shaped by the accelerated and continuous evolution of the internet, from the spreadability and democratization of the means of production and distribution (JENKINS, 2009), with the consumption’s repagination potentially spread by numerous niche havens (ANDERSON, 2006), taking into account the growing replacement of scarce atoms by abundant bits (ANDERSON, 2009). This Master's Thesis discusses the use of custom recommendation algorithms associated with human movimentation and the microposition of geotagged contents (OPPEGAARD, 2014) as an alternative to the new ubiquitous and post-human information ecosystem (SANTAELLA, 2013), permeated with antifacts (KELLY, 2017) and informative surplus. We propose a mobile application called HUGO that promotes the synchronization of physical and numerical layers between hybrid and adaptive spaces of this filtered world as interface (WEIBEL, 1996; RETTBERG, 2014) of the extended homo mobilis (AMAR, 2011) and its body as browser (PANG, apud SANTAELLA, 2010) navigating between several micro-moments to attenuate informational noise. We also bring the first test results of HUGO, by triggering an algorithmic blend and a hybrid recommendation system to allows simultaneous curators’ work – both machine and human.