TY - GEN
T1 - Identifying "horse race" stories in election news
AU - Boon, Miriam
AU - Birnbaum, Larry
PY - 2019/3/16
Y1 - 2019/3/16
N2 - Modern election news reporting tends to focus on who is winning and on campaign strategies - what is often called "Horse Race" coverage. With the ultimate goals of better understanding the mix of election story types presented by different venues, helping people to understand their own news consumption, and recommending stories with more useful content, we explore methods for automatic classification of election news stories. We also describe a plugin that recognizes "Horse Race" articles, and recommends a similar article without the frame.
AB - Modern election news reporting tends to focus on who is winning and on campaign strategies - what is often called "Horse Race" coverage. With the ultimate goals of better understanding the mix of election story types presented by different venues, helping people to understand their own news consumption, and recommending stories with more useful content, we explore methods for automatic classification of election news stories. We also describe a plugin that recognizes "Horse Race" articles, and recommends a similar article without the frame.
KW - Computational journalism
KW - Natural language processing
UR - http://www.scopus.com/inward/record.url?scp=85074455469&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85074455469&partnerID=8YFLogxK
U2 - 10.1145/3308557.3308707
DO - 10.1145/3308557.3308707
M3 - Conference contribution
AN - SCOPUS:85074455469
T3 - International Conference on Intelligent User Interfaces, Proceedings IUI
SP - 117
EP - 118
BT - Proceedings of the 24th International Conference on Intelligent User Interfaces, IUI 2019
PB - Association for Computing Machinery
T2 - 24th International Conference on Intelligent User Interfaces, IUI 2019
Y2 - 16 March 2019 through 20 March 2019
ER -