Computational Journalism: A Call to Arms to Database Researchers
Summary: Proposes systems for mass collaboration between investigative journalists and citizens to support evidence aggregation, provenance, privacy-aware sharing, and scalable ingestion. Casts these as concrete database research challenges and a social-impact call to arms for the DB community. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Sarah Cohen (Duke University)
- 2. Chengkai Li (University of Texas)
- 3. Jun Yang (Duke University)
- 4. Cong Yu (Google; University of Michigan)
BibTeX Citation
@inproceedings{cohen_cidr11,
address = {Amsterdam, Netherlands},
series = {{CIDR} '11},
title = {{Computational Journalism: A Call to Arms to Database Researchers}},
booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
author = {Cohen, Sarah and Li, Chengkai and Yang, Jun and Yu, Cong},
year = {2011}
}
Incoming Citations (Sorted by Pagerank)
Showing 12 of 12 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 1 of 1 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 866 | Pay-as-you-go User Feedback for Dataspace Systems | 2008 | SIGMOD | 0.00013519288 |
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