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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 seenby autocompletion suggestions on Google, Yahoo and Bing. In the era ofcognitive computing, beyond search, they could be handled as hypotheses issuedfor evaluation. Our vision is to leverage on unstructured data and metadata ofthe rich user-generated multimedia that is often shared as material evidence infavor or against hypotheses in social media platforms. In this paper we presenttwo preliminary experiments along those lines and discuss challenges for acognitive computing system that collects material evidence from user-generatedmultimedia towards aggregating it into some form of collective decision on thehypothesis.

Show me the material evidence: Initial experiments on evaluating hypotheses from user-generated multimedia data