DLHCIRAug 1, 2020

SHARI -- An Integration of Tools to Visualize the Story of the Day

arXiv:2008.00139v1
Originality Synthesis-oriented
AI Analysis

This work addresses the need for accessible historical news analysis and visualization, but it is incremental as it combines existing tools without introducing new methods.

The authors tackled the problem of visualizing historical daily news by integrating existing tools (StoryGraph, Hypercane, ArchiveNow, Raintale) to identify, archive, analyze, and visualize the biggest story for a given date, resulting in a named process called SHARI.

Tools such as Google News and Flipboard exist to convey daily news, but what about the past? In this paper, we describe how to combine several existing tools with web archive holdings to perform news analysis and visualization of the "biggest story" for a given date. StoryGraph clusters news articles together to identify a common news story. Hypercane leverages ArchiveNow to store URLs produced by StoryGraph in web archives. Hypercane analyzes these URLs to identify the most common terms, entities, and highest quality images for social media storytelling. Raintale then uses the output of these tools to produce a visualization of the news story for a given day. We name this process SHARI (StoryGraph Hypercane ArchiveNow Raintale Integration).

Foundations

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