Kenneth R. Fleischmann
ABSTRACT
An annotator's classification of a text not only tells us something about the intent of the text's author, it also tells us something about the annotator's standpoint. To understand authorial intent, we can consider all of these diverse standpoints, as well as the extent to which the annotators' standpoints affect their perceptions of authorial intent. To model human behavior, it is important to model humans' unique standpoints. Human values play an especially important role in determining human behavior and how people perceive the world around them, so any effort to model human behavior and perception can benefit from an effort to understand and model human values. Instead of training humans to obscure their standpoints and act like computers, we should teach computers to have standpoints of their own.
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- Cheng, A.-S., Fleischmann, K. R., Wang, P., Ishita, E., and Oard, D. W. 2010. Values of stakeholders in the Net neutrality debate: Applying content analysis to telecommunications policy. In Proceedings of the 43rd Hawai'i International Conference on Systems Sciences (Koloa, HI, Jan. 5--8, 2010). Google ScholarDigital Library
- Ishita, E., Oard, D. W., Fleischmann, K. R., Cheng, A.-S., and Templeton, T. C. 2010. Investigating multi-label classification for human values. In Proceedings of the 73rd Annual Meeting of the American Society for Information Science and Technology (Pittsburgh, PA, Oct. 22--27, 2010). Google ScholarDigital Library
- Templeton, T. C., Fleischmann, K. R., and Boyd-Graber, J. 2011. Comparing values and sentiment using Mechanical Turk. In Proceedings of the 6th iConference (Seattle, WA, Feb. 8--11, 2011). Google ScholarDigital Library
- Fleischmann, K. R., Oard, D. W., Cheng, A.-S., Wang, P., and Ishita, E. 2009. Automatic classification of human values: Applying computational thinking to information ethics. In Proceedings of the 72nd Annual Meeting of the American Society for Information Science and Technology (Vancouver, BC, Canada, Nov. 6--11, 2009Google Scholar
Index Terms
- Modeling diverse standpoints in text classification: learning to be human by modeling human values
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