Advancing the Field of Writing Analytics: Lessons from “Text-as-Data” in the Social Sciences
dc.contributor.author | Anson, Ian G. | |
dc.date.accessioned | 2021-02-05T17:16:17Z | |
dc.date.available | 2021-02-05T17:16:17Z | |
dc.description.abstract | The field of writing analytics is currently in a state of growth, redefinition, and refinement. In this essay, I review the trajectory of a related subfield, text-as-data in political science, as a lens through which to understand the present and future of writing analytics. I first describe how text-as-data has evolved over several eras, before transitioning to a review of some of the most exciting contemporary areas of political text-as-data. I then draw parallels between these developments and the work being done by the community of writing analytics scholars across the globe. I conclude by proposing several considerations for current practitioners seeking to emulate the “success story” of political text-as-data, including investment in the collection of new, high-quality corpora, development of shareable and open-source methodological tools for text analysis, and the strengthening of a community of scholarship. | en_US |
dc.description.uri | https://wac.colostate.edu/docs/jwa/vol4/ansoni.pdf | en_US |
dc.format.extent | 14 pages | en_US |
dc.genre | journal articles | en_US |
dc.identifier | doi:10.13016/m28hnp-apcn | |
dc.identifier.citation | Ian G. Anson, Advancing the Field of Writing Analytics: Lessons from “Text-asData” in the Social Sciences, The Journal of Writing Analytics Vol. 4 (2020), DOI: https://doi.org/10.37514/JWA-J.2020.4.1.02 | en_US |
dc.identifier.uri | https://doi.org/10.37514/JWA-J.2020.4.1.02 | |
dc.identifier.uri | http://hdl.handle.net/11603/20948 | |
dc.language.iso | en_US | en_US |
dc.publisher | WAC Clearinghouse | en_US |
dc.relation.isAvailableAt | The University of Maryland, Baltimore County (UMBC) | |
dc.relation.ispartof | UMBC Political Science | |
dc.relation.ispartof | UMBC Faculty Collection | |
dc.rights | This item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author. | |
dc.subject | corpus construction | en_US |
dc.subject | text-as-data | en_US |
dc.subject | writing analytics | en_US |
dc.title | Advancing the Field of Writing Analytics: Lessons from “Text-as-Data” in the Social Sciences | en_US |
dc.type | Text | en_US |
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