creator Culotta, Aron creator Hemphill, Libby creator Heston, Matthew We present a new approach to measuring political polarization, including a novel algorithm and open source Python code, which leverages Twitter content to produce measures of polarization for both users and hashtags. #Polar scores provide advantages over existing measures because they (1) can be calculated throughout the legislative cycle, (2) allow for easy differentiation between users with similar scores, (3) are chamber-agnostic, and (4) are a generic approach that can be applied beyond the U.S. Congress. #Polar scores leverage available information such as party labels, word frequency, and hashtags to create an accessible, straightforward algorithm for estimating polarity using text. (from the paper: Hemphill, L., Culotta, A., and Heston, M. (forthcoming) #Polar Scores: Measuring partisanship using social media content. Journal of Information Technology & Politics.) Submitted by Libby Hemphill (lhemphil@iit.edu) on 2016-05-31T14:51:21Z No. of bitstreams: 2 license_rdf: 1370 bytes, checksum: cd1af5ab51bcc7a5280cf305303530e9 (MD5) tweets.names.tsv: 9048201 bytes, checksum: 3cf2f5c382170aa28773f5fe2f00309a (MD5) Made available in DSpace on 2016-05-31T14:51:22Z (GMT). No. of bitstreams: 2 license_rdf: 1370 bytes, checksum: cd1af5ab51bcc7a5280cf305303530e9 (MD5) tweets.names.tsv: 9048201 bytes, checksum: 3cf2f5c382170aa28773f5fe2f00309a (MD5) Previous issue date: 2016 The dataset contains one plain text TSV file with the following information for each of the 55,244 tweets used to develop #Polar scores : tweet_id, created_at, user_id, screen_name, tag, shortid, sex, party, state, chamber, name. The file contains one row per hashtag, and therefore tweets may appear more than once. The Python code for calculating #Polar scores is available here: http://doi.org/10.5281/zenodo.53888 2013 2016

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http://hdl.handle.net/10560/3811 Attribution 3.0 United States http://creativecommons.org/licenses/by/3.0/us/ twitter polarization U.S. Congress Project deliverable born digital application/vnd.ms-excel In Copyright http://rightsstatements.org/page/InC/1.0/ Open Access CS / Computer Science Illinois Institute of Technology Affiliated department