Matches in SemOpenAlex for { <https://semopenalex.org/work/W2564814930> ?p ?o ?g. }
Showing items 1 to 86 of
86
with 100 items per page.
- W2564814930 abstract "In this paper, we propose a web-centered framework to infer voter preferences for the 2016 U.S. presidential primaries. Using Twitter data collected from Sept. 2015 to March 2016, we first uncover the tweeting tactics of the candidates and then exploit the variations in the number of 'likes' to infer voters' preference. With sparse learning, we are able to reveal neutral topics as well as positive and negative ones. Methodologically, we are able to achieve a higher predictive power with sparse learning. Substantively, we show that for Hillary Clinton the (only) positive issue area is women's rights. We demonstrate that Hillary Clinton's tactic of linking herself to President Obama resonates well with her supporters but the same is not true for Bernie Sanders. In addition, we show that Donald Trump is a major topic for all the other candidates, and that the women's rights issue is equally emphasized in Sanders' campaign as in Clinton's." @default.
- W2564814930 created "2017-01-06" @default.
- W2564814930 creator A5008983384 @default.
- W2564814930 creator A5020098503 @default.
- W2564814930 creator A5055469774 @default.
- W2564814930 creator A5086776932 @default.
- W2564814930 date "2016-11-09" @default.
- W2564814930 modified "2023-09-24" @default.
- W2564814930 title "Tactics and Tallies: Inferring Voter Preferences in the 2016 U.S. Presidential Primaries Using Sparse Learning" @default.
- W2564814930 cites W1523985187 @default.
- W2564814930 cites W153654188 @default.
- W2564814930 cites W1552247668 @default.
- W2564814930 cites W1590495275 @default.
- W2564814930 cites W1880262756 @default.
- W2564814930 cites W1969048569 @default.
- W2564814930 cites W1995945562 @default.
- W2564814930 cites W2003474533 @default.
- W2564814930 cites W2025310159 @default.
- W2564814930 cites W2122628122 @default.
- W2564814930 cites W2129642147 @default.
- W2564814930 cites W2135046866 @default.
- W2564814930 cites W2157465753 @default.
- W2564814930 cites W2223407974 @default.
- W2564814930 cites W2296105616 @default.
- W2564814930 cites W2963504255 @default.
- W2564814930 cites W2963817807 @default.
- W2564814930 cites W2964276636 @default.
- W2564814930 cites W3123712780 @default.
- W2564814930 cites W76930416 @default.
- W2564814930 doi "https://doi.org/10.48550/arxiv.1611.03168" @default.
- W2564814930 hasPublicationYear "2016" @default.
- W2564814930 type Work @default.
- W2564814930 sameAs 2564814930 @default.
- W2564814930 citedByCount "1" @default.
- W2564814930 countsByYear W25648149302019 @default.
- W2564814930 crossrefType "posted-content" @default.
- W2564814930 hasAuthorship W2564814930A5008983384 @default.
- W2564814930 hasAuthorship W2564814930A5020098503 @default.
- W2564814930 hasAuthorship W2564814930A5055469774 @default.
- W2564814930 hasAuthorship W2564814930A5086776932 @default.
- W2564814930 hasBestOaLocation W25648149301 @default.
- W2564814930 hasConcept C121332964 @default.
- W2564814930 hasConcept C162324750 @default.
- W2564814930 hasConcept C163258240 @default.
- W2564814930 hasConcept C165696696 @default.
- W2564814930 hasConcept C175444787 @default.
- W2564814930 hasConcept C17744445 @default.
- W2564814930 hasConcept C197487636 @default.
- W2564814930 hasConcept C199539241 @default.
- W2564814930 hasConcept C2781249084 @default.
- W2564814930 hasConcept C2994056279 @default.
- W2564814930 hasConcept C38652104 @default.
- W2564814930 hasConcept C41008148 @default.
- W2564814930 hasConcept C62520636 @default.
- W2564814930 hasConcept C94625758 @default.
- W2564814930 hasConceptScore W2564814930C121332964 @default.
- W2564814930 hasConceptScore W2564814930C162324750 @default.
- W2564814930 hasConceptScore W2564814930C163258240 @default.
- W2564814930 hasConceptScore W2564814930C165696696 @default.
- W2564814930 hasConceptScore W2564814930C175444787 @default.
- W2564814930 hasConceptScore W2564814930C17744445 @default.
- W2564814930 hasConceptScore W2564814930C197487636 @default.
- W2564814930 hasConceptScore W2564814930C199539241 @default.
- W2564814930 hasConceptScore W2564814930C2781249084 @default.
- W2564814930 hasConceptScore W2564814930C2994056279 @default.
- W2564814930 hasConceptScore W2564814930C38652104 @default.
- W2564814930 hasConceptScore W2564814930C41008148 @default.
- W2564814930 hasConceptScore W2564814930C62520636 @default.
- W2564814930 hasConceptScore W2564814930C94625758 @default.
- W2564814930 hasLocation W25648149301 @default.
- W2564814930 hasOpenAccess W2564814930 @default.
- W2564814930 hasPrimaryLocation W25648149301 @default.
- W2564814930 hasRelatedWork W1554744363 @default.
- W2564814930 hasRelatedWork W1964517568 @default.
- W2564814930 hasRelatedWork W2018872380 @default.
- W2564814930 hasRelatedWork W2059488256 @default.
- W2564814930 hasRelatedWork W2087950021 @default.
- W2564814930 hasRelatedWork W2100887954 @default.
- W2564814930 hasRelatedWork W2122030356 @default.
- W2564814930 hasRelatedWork W4206212954 @default.
- W2564814930 hasRelatedWork W4256723465 @default.
- W2564814930 hasRelatedWork W4300797226 @default.
- W2564814930 isParatext "false" @default.
- W2564814930 isRetracted "false" @default.
- W2564814930 magId "2564814930" @default.
- W2564814930 workType "article" @default.