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fhamborg

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Funding Links: https://github.com/sponsors/fhamborg

GitHub Sponsors Profile

I author and maintain news-please, a web crawler and information extractor for online news articles. news-please is being used by practitioners and researchers in various sciences as well as in the industry. Currently, my main goals are to improve the usability of news-please, re-enable database support, and build a strong community of both developers and users around the system.
A little background information: news-please has become a project that I try advance in my leisure time, but it was initially launched during my work as a Ph.D. student. The other projects shown on my GitHub profile page are mostly in the realm of media bias identification, which is my primary research topic during my Ph.D. studies.

Featured Works

fhamborg/news-please

news-please - an integrated web crawler and information extractor for news that just works

Language: Python - Stars: 2271
fhamborg/Giveme5W1H

Extraction of the journalistic five W and one H questions (5W1H) from news articles: who did what, when, where, why, and how?

Language: HTML - Stars: 524
fhamborg/NewsBirdServer

Matrix-based News Aggregation to Explore Media Bias

Language: Java - Stars: 20
fhamborg/NewsWCL50

The first, open access evaluation dataset for methods to identify bias by word choice and labeling

Language: - Stars: 24
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