Conference poster
Scalable News Slant Measurement Using Twitter
International AAAI Conference on Web and Social Media, 11 (Montréal, Québec, Canada, 05/15/2017 - 05/18/2017)
2017
Abstract
Prior research has reported evidence of polarization in the consumption and distribution of political news in online social media. Methods to effectively measure slant of news articles at a large scale are lacking in prior literature. To fill this gap, we propose a method to measure slant of individual news articles by observing their sharing patterns on Twitter.Our method monitors tweets about a news article and a set of landmark Democrat and Republican accounts on Twitter to estimate its slant. Our results show that the slant of news articles estimated by our method matches the slant estimated by crowdsourced workers.
Details
- Title: Subtitle
- Scalable News Slant Measurement Using Twitter
- Creators
- Huyen LeZubair Shafiq - University of Iowa, Computer SciencePadmini Srinivasan - University of Iowa, Computer Science
- Resource Type
- Conference poster
- Conference
- International AAAI Conference on Web and Social Media, 11 (Montréal, Québec, Canada, 05/15/2017 - 05/18/2017)
- Number of pages
- 584-587
- Copyright
- ©2017, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.
- Language
- English
- Date presented
- 2017
- Academic Unit
- Business Analytics; Computer Science; Nursing
- Record Identifier
- 9984006764602771
Metrics
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