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Computer Science > Social and Information Networks

arXiv:2104.03702 (cs)
[Submitted on 8 Apr 2021 (v1), last revised 1 May 2021 (this version, v3)]

Title:Media Cloud: Massive Open Source Collection of Global News on the Open Web

Authors:Hal Roberts, Rahul Bhargava, Linas Valiukas, Dennis Jen, Momin M. Malik, Cindy Bishop, Emily Ndulue, Aashka Dave, Justin Clark, Bruce Etling, Rob Faris, Anushka Shah, Jasmin Rubinovitz, Alexis Hope, Catherine D'Ignazio, Fernando Bermejo, Yochai Benkler, Ethan Zuckerman
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Abstract:We present the first full description of Media Cloud, an open source platform based on crawling hyperlink structure in operation for over 10 years, that for many uses will be the best way to collect data for studying the media ecosystem on the open web. We document the key choices behind what data Media Cloud collects and stores, how it processes and organizes these data, and its open API access as well as user-facing tools. We also highlight the strengths and limitations of the Media Cloud collection strategy compared to relevant alternatives. We give an overview two sample datasets generated using Media Cloud and discuss how researchers can use the platform to create their own datasets.
Comments: 15 pages, 9 figures, accepted (minus the 3-page, 3-image appendix given here) for publication and forthcoming in Proceedings of the Fifteenth International AAAI Conference on Web and Social Media (ICWSM-2021)
Subjects: Social and Information Networks (cs.SI); Computers and Society (cs.CY)
ACM classes: J.4; H.3.5; J.7; J.5; K.4.1
Cite as: arXiv:2104.03702 [cs.SI]
  (or arXiv:2104.03702v3 [cs.SI] for this version)
  https://doi.org/10.48550/arXiv.2104.03702

Submission history

From: Momin M. Malik [view email]
[v1] Thu, 8 Apr 2021 11:51:13 UTC (1,780 KB)
[v2] Mon, 12 Apr 2021 13:22:30 UTC (1,780 KB)
[v3] Sat, 1 May 2021 23:01:20 UTC (1,751 KB)
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