Oren Tsur - Academia.edu (original) (raw)

Oren Tsur

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Papers by Oren Tsur

Research paper thumbnail of Automatic Discovery of Partisan campaigns, Agenda Setting and Political Spin in Press releases

Research paper thumbnail of A Frame of Mind: Using Statistical Models for Detection of Framing and Agenda Setting Campaigns

Proceedings of the 53rd annual meeting of the Association for Computational Linguistics (ACL), July 2015., 2015

Framing is a sophisticated form of discourse in which the speaker tries to induce a cognitive bia... more Framing is a sophisticated form of discourse in which the speaker tries to induce a cognitive bias through consistent linkage between a topic and a specific context (frame). We build on political science and communication theory and use probabilistic topic models combined with time series regression analysis (autoregressive distributed-lag models) to gain insights about the language dynamics in the political processes. Processing four years of public statements issued by members of the U.S. Congress, our results provide a glimpse into the complex dynamic processes of framing, attention shifts and agenda setting, commonly known as "spin". We further provide new evidence for the divergence in party discipline in U.S. politics.

Research paper thumbnail of Automatic Discovery of Partisan campaigns, Agenda Setting and Political Spin in Press releases

Research paper thumbnail of A Frame of Mind: Using Statistical Models for Detection of Framing and Agenda Setting Campaigns

Proceedings of the 53rd annual meeting of the Association for Computational Linguistics (ACL), July 2015., 2015

Framing is a sophisticated form of discourse in which the speaker tries to induce a cognitive bia... more Framing is a sophisticated form of discourse in which the speaker tries to induce a cognitive bias through consistent linkage between a topic and a specific context (frame). We build on political science and communication theory and use probabilistic topic models combined with time series regression analysis (autoregressive distributed-lag models) to gain insights about the language dynamics in the political processes. Processing four years of public statements issued by members of the U.S. Congress, our results provide a glimpse into the complex dynamic processes of framing, attention shifts and agenda setting, commonly known as "spin". We further provide new evidence for the divergence in party discipline in U.S. politics.

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