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In this Interactive Lecture Demonstration, students of intermediate-level French will attempt to predict the content of articles on the Health Science pages of French newspapers by reading headlines on the Newsmap website. They then read the full-length articles and reflect on their actual content. According to the author of...
In this Interactive Lecture Demonstration, students of intermediate-level French will attempt to predict the content of articles on the Health Science pages of French newspapers by reading headlines on the Newsmap website. They then read the full-length articles and reflect on their actual content. According to the author of Newsmap: "Newsmap's objective is to simply demonstrate visually the relationships between data and the unseen patterns in news media. Google News automatically groups news stories with similar content and places them based on algorithmic results into clusters. In Newsmap, the size of each cell is determined by the amount of related articles that exist inside each news cluster that the Google News Aggregator presents. In that way, users can quickly identify which news stories have been given the most coverage, viewing the map by region, topic or time. Through that process it still accentuates the importance of a given article. Newsmap also allows users to compare the news landscape among several countries, making it possible to differentiate which countries give more coverage to, for example, more national news than international or sports rather than business." The present activity allows students to hypothesize about content by first reading headlines and then predicting the content of the accompanying articles.