@InProceedings{balahur:2017:WASSA2017,
  author    = {Balahur, Alexandra},
  title     = {Understanding human values and their emotional effect},
  booktitle = {Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis},
  month     = {September},
  year      = {2017},
  address   = {Copenhagen, Denmark},
  publisher = {Association for Computational Linguistics},
  pages     = {112},
  abstract  = {Emotions can be triggered by various factors. According to the Appraisal
	Theories (De Rivera, 1977; Frijda, 1986; Ortony et al., 1988; Johnson-Laird and
	Oatley, 1989) emotions are elicited and differentiated on the basis of the
	cognitive evaluation of the personal significance of a situation, object or
	event based on “appraisal criteria” (intrinsic characteristics of objects
	and events, significance of events to individual needs and goals,
	individual’s ability to cope with the consequences of the event,
	compatibility of event with social or personal standards, norms and values).
	These differences in values can trigger reactions such as anger, disgust
	(contempt), sadness, etc., because these behaviors are evaluated by the public
	as being incompatible with their social/personal standards, norms or values. 
	Such arguments are frequently present both in mainstream media, as well as
	social media, building a society-wide view, attitude and emotional reaction
	towards refugees/immigrants. In this demo, I will talk about experiments to
	annotate and detect factual arguments that are linked to human
	needs/motivations from text and in consequence trigger emotion in the media
	audience and propose a new task for next year's WASSA.},
  url       = {http://www.aclweb.org/anthology/W17-5214}
}