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      Nature Energy
      Springer Science and Business Media LLC

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          Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts

          Politics and political conflict often occur in the written and spoken word. Scholars have long recognized this, but the massive costs of analyzing even moderately sized collections of texts have hindered their use in political science research. Here lies the promise of automated text analysis: it substantially reduces the costs of analyzing large collections of text. We provide a guide to this exciting new area of research and show how, in many instances, the methods have already obtained part of their promise. But there are pitfalls to using automated methods—they are no substitute for careful thought and close reading and require extensive and problem-specific validation. We survey a wide range of new methods, provide guidance on how to validate the output of the models, and clarify misconceptions and errors in the literature. To conclude, we argue that for automated text methods to become a standard tool for political scientists, methodologists must contribute new methods and new methods of validation.
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            Rethinking NIMBYism: The role of place attachment and place identity in explaining place-protective action

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              Toward a Social Psychology of Place: Predicting Behavior from Place-Based Cognitions, Attitude, and Identity

              R. Stedman (2002)
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                Author and article information

                Contributors
                (View ORCID Profile)
                Journal
                Nature Energy
                Nat Energy
                Springer Science and Business Media LLC
                2058-7546
                September 23 2021
                Article
                10.1038/s41560-021-00892-9
                e32339a0-fa68-4845-93e5-3adcf44ddff1
                © 2021

                https://www.springer.com/tdm

                https://www.springer.com/tdm

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