Dear AoIRists, one of our MA students is exploring the role of diverse emotions - first of all, anger - in responses to news stories on three major Norwegian news sites. The broad hypothesis is that anger will be most prevalent and effective in catalyzing further response (including sharing, likes, etc.) - but four emotions total are taken on board: sadness, anger, surprise, and happiness. 1) There is an online tool available for analyzing the emotive content of texts - "The SATI API enables to perform Sentiment Analysis from Textual Information", etc. Comments and observations on its utility, validity? 2) Recommendations, please, for either useful examples of similar research, especially with a view towards methods of accumulating and then analyzing emoticons, and/or other suggestions regarding possible tools? Many thanks in advance, - charles ess -- Professor in Media Studies Department of Media and Communication University of Oslo <http://www.hf.uio.no/imk/english/people/aca/charlees/index.html> Postboks 1093 Blindern 0317 Oslo, Norway c.m.ess@media.uio.no