Discovery of Treatments from Text Corpora

Christian Fong · Justin Grimmer

49 citations0/0 files storedAnnual Meeting of the Association for Computational Linguistics (ACL)

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Computational and Text Analysis Methods Optimal Experimental Design Methods Advanced Causal Inference Techniques

Abstract

An extensive literature in computational social science examines how features of messages, advertisements, and other corpora affect individuals' decisions, but these analyses must specify the relevant features of the text before the experiment.Automated text analysis methods are able to discover features of text, but these methods cannot be used to obtain the estimates of causal effects-the quantity of interest for applied researchers.We introduce a new experimental design and statistical model to simultaneously discover treatments in a corpora and estimate causal effects for these discovered treatments.We prove the conditions to identify the treatment effects of texts and introduce the supervised Indian Buffet process to discover those treatments.Our method enables us to discover treatments in a training set using a collection of texts and individuals' responses to those texts, and then estimate the effects of these interventions in a test set of new texts and survey respondents.We apply the model to an experiment about candidate biographies, recovering intuitive features of voters' decisions and revealing a penalty for lawyers and a bonus for military service.

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2005Why Most Published Research Findings Are False 2005Why Most Published Research Findings Are False 2013Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts 2014Publication bias in the social sciences: Unlocking the file drawer 1992The Reasoning Voter: Communication and Persuasion in Presidential Campaigns.1997Going negative : how political advertisements shrink and polarize the electorate 2016A Model of Text for Experimentation in the Social Sciences 1993The Reasoning Voter: Communication and Persuasion in Presidential Campaigns

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