This paper discusses the opportunities and challenges present for the next generation analyst in the use of social media data. Focusing particularly on the detection of deception and misinformation within the latter, a review of current approaches is followed by the elaboration of a theoretical model for social media analysis premised on activity based intelligence. Considering this model with regard to latent challenges to analytical performance and potential opportunities for analytical calibration, this discussion articulates an approach for open-source, next generation intelligence analysis.
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