Paper Info
Title
Says who?: automatic text-based content analysis of television news
Abstract
We perform an automatic analysis of television news programs, based on the closed captions that accompany them. Specifically, we collect all the news broadcasted in over 140 television channels in the US during a period of six months. We start by segmenting, processing, and annotating the closed captions automatically. Next, we focus on the analysis of their linguistic style and on mentions of people using NLP methods. We present a series of key insights about news providers, people in the news, and we discuss the biases that can be uncovered by automatic means. These insights are contrasted by looking at the data from multiple points of view, including qualitative assessment.
Year
DOI
Venue
2013
10.1145/2513549.2513558
UnstructureNLP@CIKM
Field
DocType
Citations 
World Wide Web,Content analysis,Closed captioning,Market segmentation,Information retrieval,Computer science
Conference
5
PageRank 
References 
Authors
0.57
14
4
Name
Order
Citations
PageRank
Carlos Castillo15033246.57
Gianmarco De Francisci Morales252937.07
Marcelo Mendoza3150285.81
Nasir Khan461.30