News video classification using SVM-based multimodal classifiers and combination strategies
Proceedings of the tenth ACM international conference on Multimedia
World Wide Web
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NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
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CoNLL-X '06 Proceedings of the Tenth Conference on Computational Natural Language Learning
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Proceedings of the 18th ACM conference on Information and knowledge management
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COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
Sentiment in short strength detection informal text
Journal of the American Society for Information Science and Technology
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WAIM'11 Proceedings of the 12th international conference on Web-age information management
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MMM'10 Proceedings of the 16th international conference on Advances in Multimedia Modeling
Identifying ideological perspectives in text and video
Identifying ideological perspectives in text and video
Online matching of web content to closed captions in IntoNow
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
Social media news communities: gatekeeping, coverage, and statement bias
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
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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.