The power of social media analytics

By Weiguo Fan, Michael D. Gordon. CACM, 2014

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Factors associated with clinical trials that fail and opportunities for improving the likelihood of success: A review (2018, unknown): “…of interest to determine if arti ﬁ cial intelligence tools employing sentiment analysis could be useful in crafting the language of the ICF and other materials to provide a more compassionate tone and greater patient con ﬁ dence [38,91,114] in addition to maintaining an appropriate reading level.”
Evaluation and decision making in social media marketing (2017, background): “Fan and Gordon (2014) and Töllinen et al. (2010) suggest that this is particularly appropriate in the context of SMM. Interestingly, there is indeed evidence of the adoption of approaches that involve collaboration in this study, as summarised in the final column in Table II.”