@conference {bib_73,
	title = {Is it fair? Textual effects on the salience of moral foundations},
	booktitle = {Proceedings of the 39th Annual Conference of the Cognitive Science Society},
	year = {2017},
	pages = {3028-3032},
	abstract = {Many of the important decisions we make have moral implications. Moral Foundations Theory (Haidt \& Joseph, 2004) identifies 5 distinct styles of moral reasoning that may be applied to such decisions. This paper explores how reading text that emphasizes one of these styles might affect our reasoning. After participants read a series of tweets that emphasized the Fairness/Cheating foundation they exhibited an increased reliance on this style compared to when they read tweets emphasizing the Care/Harm foundation. This affected participants{\textquoteright} answers to a questionnaire designed to measure the perceived importance of the different foundations, as well as in their rating of the foundations evident in other tweets. Interestingly, this effect was short lived and was not observed for the Care/Harm foundation. These results suggest that exposure to the moral reasoning of others might temporarily influence what moral arguments we are likely to accept and employ.},
	author = {Eyal Sagi},
	editor = {Gunzelmann, G. and Howes, A. and Tenbrink, T. and Davelaar, E. J.}
}
@conference {jamrozik2013relational,
	title = {Relational words have high metaphoric potential},
	booktitle = {Proceedings of the First Workshop on Metaphor in NLP},
	year = {2013},
	pages = {21-26},
	abstract = {What influences the likelihood that a word will be used metaphorically? We tested whether the likelihood of metaphorical use is related to the relationality of a word{\textquoteright}s meaning. Relational words name relations between entities. We predicted that relational words, such as verbs (e.g., speak) and relational nouns (e.g., marriage) would be more likely to be used metaphorically than words that name entities (e.g., item). In two experiments, we collected expert ratings of metaphoricity for uses of verbs, relational nouns, and entity nouns collected from a corpus search. As predicted, uses of relational words were rated as more metaphorical than uses of entity words. We discuss how these findings could inform NLP models of metaphor.},
	url = {http://www.aclweb.org/anthology/W/W13/W13-09.pdf$\#$page=31},
	author = {Jamrozik, Anja and Eyal Sagi and Goldwater, Micah and Dedre Gentner},
	editor = {E. Shutova and Beata Beigman-Klebanov and J. Testreault and Z. Kozareva}
}
