Hedge detection as a lens on framing in the GMO debates: A position paper
Eunsol Choi, Chenhao Tan, Lillian Lee, Cristian Danescu-Niculescu-Mizil, and Jennifer Spindel
Proceedings of the ACL Workshop on Extra-Propositional Aspects of Meaning in Computational Linguistics, pp. 70--79, 2012
Understanding the ways in which participants in public discussions frame their arguments is important in understanding how public opinion is formed. In this paper, we adopt the position that it is time for more computationally-oriented research on problems involving framing. In the interests of furthering that goal, we propose the following specific, interesting and, we believe, relatively accessible question: In the controversy regarding the use of genetically-modified organisms (GMOs) in agriculture, do pro- and anti-GMO articles differ in whether they choose to adopt a "scientific'' tone? |
Paper: pdf, arxiv version
Data: GMOHedging_v1.0.zip (5.72MB): includes the paper and this README (v1.0)
BibTeX:
@InProceedings{Choi+al:2012, author = {Eunsol Choi and Chenhao Tan and Lillian Lee and Cristian Danescu-Niculescu-Mizil and Jennifer Spindel}, title = {Hedge detection as a lens on framing in the {GMO} debates: A position paper}, booktitle = {Proceedings of the Workshop on Extra-Propositional Aspects of Meaning in Computational Linguistics}, pages = {70--79}, year = {2012} }
This material is based upon work supported in part by US NSF grants IIS-0910664 and IIS-1016099, a US NSF graduate fellowship to Jennifer Spindel, Google, and Yahoo! Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation or other sponsors.