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F -score of 0.73, improving in 0.002 points the accuracy of previous classifiers ( Khazaei et al., 2016b ). This paper is organized as follows. In Section 2 , we present some of the related works that are the starting point of our research. In Section 3 , we describe our data sets, and process for labeling these data. In Section 4 , we explain our methodology for genderrecognition. In Section 5 , we report our results related to gender and privacy concerns. We summarize our findings and conclude in Section 6 . Finally, Section 7 deals with future
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communities. In his paper
Media Accountability Meets Media Polarisation: A Case Study from Poland, he argued that
weakness of media accountability might be seen as critical when explaining the low level
of journalistic professionalization, leading to the undermining of standards, values and
practices of professional media-making alongside polarisation of Polish society.
Agnieszka Makarewicz-Marcinkiewicz took part in the panel titled Th e Challenges of
LGBT Politics. In her presentation on GenderRecognition in Poland as a Process of Social
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., Wang Y., Genderrecognition based on fusion on face and gait information, International Conference on Machine Learning and Cybernetics, IEEE, vol. 1, pp. 62-67, 2008  Ahmed F., Paul P.P., Gavrilova M., DTW based Kernel and Rank Level Fusion for 3D Gait Recognition using Kinect, The Visual Computer, vol. 31, no 6, pp. 915-924, 2015  Vondrick C. et. al. HOGgles: Visualizing Object Detection Features, International Journal on Computer Vision, pp. 1-9, 2013  http://www.upcv.upatras.gr/personal/kastaniotis/datasets.html Last accessed: September 20, 2017 [25
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