  Subjective questions such as `does neymar dive', or `is clinton lying', or
`is trump a fascist', are popular queries to web search engines, as can be seen
by autocompletion suggestions on Google, Yahoo and Bing. In the era of
cognitive computing, beyond search, they could be handled as hypotheses issued
for evaluation. Our vision is to leverage on unstructured data and metadata of
the rich user-generated multimedia that is often shared as material evidence in
favor or against hypotheses in social media platforms. In this paper we present
two preliminary experiments along those lines and discuss challenges for a
cognitive computing system that collects material evidence from user-generated
multimedia towards aggregating it into some form of collective decision on the
hypothesis.
