@InProceedings{prabhumoye-EtAl:2017:NLPandCSS,
  author    = {Prabhumoye, Shrimai  and  Choudhary, Samridhi  and  Spiliopoulou, Evangelia  and  Bogart, Christopher  and  Rose, Carolyn  and  Black, Alan W},
  title     = {Linguistic Markers of Influence in Informal Interactions},
  booktitle = {Proceedings of the Second Workshop on NLP and Computational Social Science},
  month     = {August},
  year      = {2017},
  address   = {Vancouver, Canada},
  publisher = {Association for Computational Linguistics},
  pages     = {53--62},
  abstract  = {There has been a long standing interest in understanding `Social Influence'
	both in Social Sciences and in Computational Linguistics. In this paper, we
	present a novel approach to study and measure interpersonal influence in daily
	interactions. Motivated by the basic principles of influence, we attempt to
	identify indicative linguistic features of the posts in an online knitting
	community. We present the scheme used to operationalize and label the posts as
	influential or non-influential. Experiments with the identified features show
	an improvement in the classification accuracy of influence by 3.15\%. Our
	results illustrate the important correlation between the structure of the
	language and its potential to influence others.},
  url       = {http://www.aclweb.org/anthology/W17-2908}
}