Abstract
Mining the natural language text of news content has great potential for academic researchers seeking to understand and visualize patterns and relationships buried within everyday news coverage and content. Mining news can help researchers across many disciplines understand the impact of news, biases in news coverage, and language usage. It can also help them detect unknown patterns in news coverage. However, researchers must understand the challenges of using news text for text-mining-based research. Many challenges are inherent in the news form, including the complexity of the news environment; changing patterns of news consumption and distribution; growing use of social media; and the use of visual and audio information. Additional challenges relate to determining if the news content is available in a digital format, access and license restriction on use of the news text, and how complete and completely searchable the news text really is. This chapter explores these challenges and the impact they may have on how researchers gain access to news text, and methodologies used.
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