Advancing the Field of Writing Analytics: Lessons from “Text-as-Data” in the Social Sciences

dc.contributor.authorAnson, Ian G.
dc.date.accessioned2021-02-05T17:16:17Z
dc.date.available2021-02-05T17:16:17Z
dc.description.abstractThe 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.urihttps://wac.colostate.edu/docs/jwa/vol4/ansoni.pdfen_US
dc.format.extent14 pagesen_US
dc.genrejournal articlesen_US
dc.identifierdoi:10.13016/m28hnp-apcn
dc.identifier.citationIan 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.2020.4.1.02en_US
dc.identifier.urihttps://doi.org/10.37514/JWA-J.2020.4.1.02
dc.identifier.urihttp://hdl.handle.net/11603/20948
dc.language.isoen_USen_US
dc.publisherWAC Clearinghouseen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Political Science
dc.relation.ispartofUMBC Faculty Collection
dc.rightsThis 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.subjectcorpus constructionen_US
dc.subjecttext-as-dataen_US
dc.subjectwriting analyticsen_US
dc.titleAdvancing the Field of Writing Analytics: Lessons from “Text-as-Data” in the Social Sciencesen_US
dc.typeTexten_US

Files

License bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
2.56 KB
Format:
Item-specific license agreed upon to submission
Description: