iCrawl: Improving the Freshness of Web Collections by Integrating Social Web and Focused Web Crawling
Gerhard Gossen, Elena Demidova, Thomas Risse

TL;DR
This paper presents iCrawl, a novel integrated focused crawler that combines Web and Social Media streams to enhance the freshness and relevance of online content collections for current event monitoring.
Contribution
It introduces a unified system that leverages social media streams to improve the freshness and topical relevance of focused web crawling.
Findings
Enhanced content freshness in Web collections
Effective integration of Social Media and Web crawling
Improved relevance for current event monitoring
Abstract
Researchers in the Digital Humanities and journalists need to monitor, collect and analyze fresh online content regarding current events such as the Ebola outbreak or the Ukraine crisis on demand. However, existing focused crawling approaches only consider topical aspects while ignoring temporal aspects and therefore cannot achieve thematically coherent and fresh Web collections. Especially Social Media provide a rich source of fresh content, which is not used by state-of-the-art focused crawlers. In this paper we address the issues of enabling the collection of fresh and relevant Web and Social Web content for a topic of interest through seamless integration of Web and Social Media in a novel integrated focused crawler. The crawler collects Web and Social Media content in a single system and exploits the stream of fresh Social Media content for guiding the crawler.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
