Title :
Congressional Close Up: Automatically exploring anomalous voting behavior in the U.S. Congress
Author :
Gandy, Lisa ; Hammond, Kevin
Author_Institution :
Dept. of Comput. Sci., Central Michigan Univ., Mt Pleasant, MI, USA
Abstract :
The United States Senate has become increasingly partisan through the years; in fact it is quite unusual for a Senator to vote against his or her party. The Congressional Close Up system automatically reports on factors that might have influenced a bipartisan vote. The system begins by assigning a topic to the legislation on which a Senate or House vote was focused. The system then uses this assigned topic to find possible influences which might have changed a Senator´s vote. These influences are campaign contributions, effects on local industries and general pressure from the Senator´s constituency. The system concludes by generating a report in HTML format.
Keywords :
hypermedia markup languages; legislation; politics; HTML format; Senator constituency; U.S. congress; United States senate; anomalous voting behavior; bipartisan vote; congressional close up system; legislation; local industry; Accuracy; Government; Industries; Kernel; Nominations and elections; Support vector machines;
Conference_Titel :
Science and Information Conference (SAI), 2013
Conference_Location :
London