The literature on "bridging the semantic gap" between mass and
network mediated visuals and algorithms for their automatic
identification and classification is growing and requires
transdisciplinary contributions in Part I by eminent computer and
social scientists. In Part II, scholars from the social sciences
and journalism explore a few major landmarks of the vastly
neglected and more challenging areas of soundscapes and
multi-sensory experiences as well as censorship.
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