Shared Photography: (Photo)journalism and political mobilisation in Rio de Janeiro's favelas

One of the most important civic phenomena emerging from favelas in Rio de Janeiro today is “community (photo)journalism”, which is practised by favela residents who are trained in journalistic and artistic techniques to raise critical awareness and promote political mobilisation in- and outside favelas. This paper looks at some of the work produced at one training place for community photographers, the agency-school Imagens do Povo (“Images of the People”) in Nova Holanda, a favela located in Rio’s North Zone. Using an ethnographic approach, this article first provides an account of the working practices of the School and its photographers. This is followed by a discussion of a small sample of their photographic work, for which we employ a social semiotic paradigm of image analysis. This methodological synergy provides insights into how these journalists document long-term structural as well as “spectacular” violence in favelas, while at the same time striving to capture some of the “beauty” of these communities. The paper concludes that this form of photographic work constitutes an important step towards a more analytical brand of journalism with different news values that encourage a more context-sensitive approach to covering urban violence and favela life.

KEYWORDS: alternative media, Imagens do Povo, multimodality, news values, photojournalism.

Fuzzy logic-based implicit authentication for mobile access control

In order to address the increasing compromise of user privacy on mobile devices, a Fuzzy Logic based implicit authentication scheme is proposed in this paper. The proposed scheme computes an aggregate score based on selected features and a threshold in real-time based on current and historic data depicting user routine. The tuned fuzzy system is then applied to the aggregated score and the threshold to determine the trust level of the current user. The proposed fuzzy-integrated implicit authentication scheme is designed to: operate adaptively and completely in the background, require minimal training period, enable high system accuracy while provide timely detection of abnormal activity. In this paper, we explore Fuzzy Logic based authentication in depth. Gaussian and triangle-based membership functions are investigated and compared using real data over several weeks from different Android phone users. The presented results show that our proposed Fuzzy Logic approach is a highly effective, and viable scheme for lightweight real-time implicit authentication on mobile devices.