MAPNEWS: a framework for aggregating and organizing online news articles

Int. Arab J. Inf. Technol. Pub Date : 2023-01-01 DOI:10.34028/iajit/20/3/10

Jeelani Ahmed, Muqeem Ahmed

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引用次数: 0

Abstract

In recent years, digital news has become increasingly prevalent, with many people getting their news and information from online sources rather than traditional print or broadcast media. This shift has been driven, in part, by the convenience and accessibility of digital platforms, as well as the ability to personalize and customize news feeds. Digital news also allows for greater interactivity and engagement with readers and can reach a global audience almost instantly. News articles contain a plethora of hidden spatial information that, when shared with readers, increases comprehension of current events. Only a few news aggregation systems make this information available to users. Many stories, on the other hand, are not clearly geotagged with their spatial information. In this work, we propose the MapNews framework, a novel system that gathers, analyzes, and presents news articles on a map interface, allowing users to take advantage of their underlying spatial information. MapNews pulls content from several different internet news sources and, using a custom-built geotagger, it extracts geographic content from articles. A rapid online clustering method is used to organize articles into story clusters. Panning and zooming MapNews' map interface allows readers to receive news based on geographic location and category importance, and they will view distinct articles depending on their location. MapNews achieved an ARI score of 0.89 for clustering and an accuracy of 95% in usability testing

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MAPNEWS:一个用于聚合和组织在线新闻文章的框架

近年来，数字新闻变得越来越普遍，许多人从网上获取新闻和信息，而不是传统的印刷或广播媒体。这种转变的部分原因是数字平台的便利性和可访问性，以及个性化和定制新闻源的能力。数字新闻还允许与读者进行更大的互动和参与，几乎可以立即接触到全球受众。新闻文章包含大量隐藏的空间信息，当与读者分享时，可以增加对当前事件的理解。只有少数新闻聚合系统向用户提供这些信息。另一方面，许多故事的空间信息没有明确的地理标记。在这项工作中，我们提出了MapNews框架，这是一个新颖的系统，可以在地图界面上收集、分析和呈现新闻文章，允许用户利用其潜在的空间信息。MapNews从几个不同的互联网新闻来源提取内容，并使用定制的地理标记器，从文章中提取地理内容。采用快速在线聚类方法将文章组织成故事类。平移和缩放MapNews的地图界面允许读者根据地理位置和类别重要性接收新闻，他们将根据自己的位置查看不同的文章。MapNews在聚类方面的ARI得分为0.89，在可用性测试方面的准确率为95%

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Int. Arab J. Inf. Technol.

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