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Correction: Identifying Issue Frames in Text

  • Eyal Sagi,
  • Daniel Diermeier,
  • Stefan Kaufmann
  • Article
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Several errors occurred in the DOI (Digital Object Identifier) links for the manuscripts listed in the Reference section. Please see an updated Reference list with the correct links below: References 1. Plous S (1993) The psychology of judgment and decision making. New York: McGraw-Hill. 302 p. 2. Tversky A, Kahneman D (1981) The Framing of decisions and the psychology of choice. Science 211: 453–458. 3. Schattschneider EE (1960) The Semi-Sovereign People. Hinsdale, IL: Dryden Press. 147p. 4. Lakoff G (2004) Don't Think of an Elephant: Know Your Values and Frame the Debate: The Essential Guide for Progressives. White River Jct., VT: Chelsea Green Publishing. 144 p. 5. Chong D, Druckman JN (2007) Framing Theory. Annual Review of Political Science 10: 103-126. doi: http://dx.doi.org/10.1146/annurev.polisci.10.072805.103054 6. Baumgartner FR, De Boef SL, Boydstun AE (2008) The Decline of the Death Penalty and the Discovery of Innocence. New York: Cambridge University Press 7. Druckman JN, Jacobs LR (2009) Presidential Responsiveness to Public Opinion. In: Edwards GC III, William G, editors. The Oxford Handbook of the American Presidency. Oxford: Oxford University Press. pp. 160–181. 8. Shapiro RY (2011) Public Opinion and American Democracy. Public Opin Q 75: 982–1017. doi: http://dx.doi.org/10.1093/poq/nfr053 9. Baumgartner FR, Jones BD (1993) Agendas and Instability in American Politics. Chicago: University of Chicago Press. 298 p. 10. Baumgartner FR, Jones BD (2002) Policy Dynamics. Chicago: University of Chicago Press. 360 p. 11. Monroe BL, Schrodt PA (2008) Introduction to the Special Issue: The Analysis of Political Text. Polit Anal 16: 351-355. doi: http://dx.doi.org/10.1093/pan/mpn017 12. Quinn KM, Monroe BL, Colaresi M, Crespin MH, Radev DR (2010) How to Analyze Political Attention with Minimal Assumptions and Costs. Am J Pol Sci 54: 209-228. doi: http://dx.doi.org/10.1111/j.1540-5907.2009.00427.x 13. Yu B, Kaufmann S, Diermeier D (2008) Classifying party affiliation from political speech. Journal of Information Technology and Politics 5: 33-48. doi: http://dx.doi.org/10.1080/19331680802149608 14. Yu B, Diermeier D, Kaufmann S, Godbout JF (2012) Language and Ideology in Congress. Br J Polit Sci 42: 31-55. 15. Firth, J (1957) Papers in Linguistics, 1934-1951. London: Oxford University Press. 233 p. http://www.worldcat.org/title/papers-in-linguistics-1934-1951/oclc/32594232 16. Deerwester S, Dumais ST, Furnas GW, Landauer TK, Harshman R (1990) Indexing by Latent Semantic Analysis. Journal of the American Society for Information Science 41: 391-407. doi: http://dx.doi.org/10.1002/(SICI)1097-4571(199009)41:6%3C391::AID-ASI1%3E3.0.CO;2-9 17. Landauer TK, Dumais ST (1997) A solution to Plato's problem: The Latent Semantic Analysis theory of the acquisition, induction, and representation of knowledge. Psychol Rev 104: 211-240. doi: http://dx.doi.org/10.1037/0033-295X.104.2.211 18. Schütze H (1997) Ambiguity in language learning: computational and cognitive models. Chicago: University of Chicago Press. 176 p. 19. Levin E, Sharifi M, Ball J (2006) Evaluation of utility of LSA for word sense discrimination. In: Moore RC, Bilmes JA, Chu-Carroll JC, Sanderson M, editors. Proceedings of the 2006 Human Language Technology Conference of the NAACL, Companion Volume: Short Papers. Stroudsburg, PA: Association for Computational Linguistics. pp. 77-80. 20. Schütze H (1998) Automatic word sense discrimination. Computational Linguistics 24: 97-124. http://dl.acm.org/citation.cfm?id=972724 21. Marcu D (2003) Automatic Abstracting. In: Darke MA, editor. Encyclopedia of Library and Information. New York: Marcel Dekker. pp. 245-256. 22. Riedel E, Dexter SL, Scharber C, Doering A (2006) Experimental Evidence on the Effectiveness of Automated Essay Scoring in Teacher Education Cases. Journal of Educational Computing Research 35: 267-287. doi: http://dx.doi.org/10.2190/U552-M54Q-5771-M677 23. Sagi E, Kaufmann S, Clark B (2009) Semantic Density Analysis: Comparing Word Meaning across Time and Phonetic Space. In: Basili R, Pennacchiotti M, editors. Proceedings of the EACL 2009 Workshop on GEMS: Geometrical Models of Natural Language Semantics. Stroudsburg, PA: Association for Computational Linguistics. pp. 104-111. 24. Iyengar S, Kinder DR (1987) News That Matters: Television and American Opinion. Chicago: University of Chicago Press. 25. Takayama Y, Flournoy R, Kaufmann S (1998) Information Mapping: Concept-Based Information Retrieval Based on Word Associations. Stanford, CA: CSLI Publications. 8 p. 26. Sandhaus E (2008) The New York Times Annotated Corpus. Philadelphia, PA: Linguistic Data Consortium. Available: http://www.ldc.upenn.edu/Catalog/catalogEntry.jsp?catalogId=LDC2008T19. Accessed 20 January 2013. 27. Infomap [Computer Software] (2007) Stanford, CA. Available: http://infomap-nlp.sourceforge.net/. [^] Accessed 20 January 2013. 28. Hu X, Cai Z, Wiemer-Hastings P, Graesser A, McNamara D (2007) Strength, Limitations, and Extensions of LSA. In: Landauer TK, McNamara D, Dennis S, Kintsch W, editors. The Handbook of Latent Semantic Analysis. Mahwah, NJ: Lawrence Erlbaum Associates. pp. 401-426. 29. Lakoff G (2008) The political mind: Why you can’t understand 21st-century politics with an 18th-century brain. New York: Viking. 292 p. 30. Gentzkow M, Shapiro JM (2010) What Drives Media Slant? Evidence from U.S. Daily Newspapers. Econometrica 78: 35-71. doi: http://dx.doi.org/10.3982/ECTA7195 31. Wickham H (2009) ggplot2: elegant graphics for data analysis. New York: Springer.