Improving Political Deliberation with Computational Supports for Frame Reflection
This project involves the design, implementation, and evaluation of tools that incorporate computational analysis techniques to support frame reflection into the processes of online political engagement. This work involves both the application of existing analytic methods and the development of novel computational techniques, as well as evaluation in two real-world settings: in public deliberative forums and with readers of political blogs.
Results from controlled laboratory studies suggest that those with more extreme opinions may benefit more from such reflective tools. Also, in a field study, participants reported broader exposure, not only to a variety of news sources but also to a greater variety of issues and ideas. These results suggest that computational supports for frame reflection can play an important role in creating an informed, engaged citizenry.
Eric Baumer, Geri Gay, Andrea Lin, Crystal Qin, Jung-Ho Sohn, Jeff Tian, Rachel Yen, Rannie Zhang.
NSF Social Computation Systems (SoCS) Grant, Cornell Institute for Social Sciences (ISS)
This work is based in part upon work supported by the NSF under Grant No. IIS-1110932. 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.
Baumer, E. P. S., Elovic, E., Qin, Y., Polletta, F., & Gay, G. K. (2015). Testing and Comparing Computational Approaches for Identifying the Language of Framing in Political News. In Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics – Human Language Technologies (NAACL HLT). [ PDF ]
Baumer, E. P., Polletta, F., Pierski, N., & Gay, G. K. (2015). A simple intervention to reduce framing effects in perceptions of global climate change. Environmental Communication, 1-22. [ Taylor & Francis | PDF ]
Baumer, E.P.S., Cipriani, C., Davis, M., He, G., Jeffrey-Wilensky, J., Kang, J., Lee, J., Zupnick, J., and Gay, G. (2014). Broadening Exposure, Questioning Opinions, and Reading Patterns with Reflext: a Computational Support for Frame Reflection. Journal of Information Technology and Politics, 11(1), 45-63. [ Taylor & Francis | PDF ]
Polletta, F., Pierski, N., Baumer, E. P. S., Celaya, C., & Gay, G. (2014). A “Peopled” Strategy of Frame Reflection. In Annual Meeting of the American Sociological Association (ASA). San Francisco. [ ASA ]
Baumer, E.P.S., Polletta, F., Pierski, N., Celaya, C., Rosenblatt, K., and Gay, G.K. (2013). Developing Computational Supports for Frame Reflection. In Proceedings of the iConference. Fort Worth, TX. [ ACM | PDF ]
Baumer, E.P.S., and Gay, G.K. (2012). From Analyzing to Reflection: Computational Supports for Frame Reflection. In Design, Influence, and Social Technologies, Workshop at ACM CSCW Conference, (Seattle, WA). [ PDF ]