Textual data visualization for newsrooms

自21世纪初以来，新闻媒体正在经历一场严重的衰退。报纸行业的广告收入下降，许多新闻编辑室不得不关闭。与传统报纸行业不同，数字新闻内容的受众越来越多。尽管商业模式尚不完善，但这个平台在受众和讲故事的方式方面提供了巨大的潜力。就像在任何竞争激烈的行业一样，创新成为每个媒体保持自己并生存的重要杠杆之一。在目前正在研究的新实践中，交互式数据可视化名列前茅。**这种实践是通过数据科学技术的潜力和民主化来促进的。**政治讨论和选举活动是新闻编辑室**报道的最常见、最受欢迎的话题。这些主题还产生了大量开放获取的文本数据。然而，这种类型的数据在这种情况下提供了具有挑战性的问题，因为它们通常是巨大的，因此难以导航，并且不容易和完全访问新闻读者和记者。通过与魁北克媒体Le Devoir的合作，我们的目标是提出三套创新工具，针对处理不同类型文本数据的三种具体挑战：议会讨论、政治辩论和竞选政治家的推特声明。这些数据的大小、结构和可视化目标各不相同。

News media is going through a severe recession since the beginning of the 2000s. The newspapers sector has**seen its advertising based revenues dropped and many newsrooms had to shut down. Unlike the traditional**newspaper sector, the digital news content sees an increasing audience. Although the business model is still**under-development, this platform offers a huge potential in terms of audience and means of story telling. As in**any competitive industry, innovation becomes one of the important lever for each media to hold its own and**survive. Among the new practices presently being investigated, interactive data visualization is on the top list.**This practice is fostered through the increased potential and democratization of data science techniques.**Political discussions and electoral campaigns are among the most regular and popular topics that newsrooms**cover. These topics also produce a lot of open access textual data. However, this type of data offers challenging**issues in this context since they are often massive, hence hard to navigate and not easily and fully accessible to**both the news readers and journalists. Our objective through this collaboration with the Quebec media Le**Devoir, is to propose three innovative sets of tools that target three specific challenges dealing with different**types of textual data: parliamentary discussions, political debates, and twitter statements from campaigning**politicians. Each of these data vary in size, structure and visualization goal.