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In the new issue of our monthly newsletter:
• Detecting spam, and pages to protect
• Editors' intelligence test scores related to article quality
• Three papers on Wikipedia citations

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In the new issue of our newsletter:
• Thanking editors makes them come back more, but not contribute more
• "Wikipedia's Network Bias" on abortion and other controversial topics
• The interests of designer drugs editors

"Wikiproject Tropical Cyclones: The most successful crowd-sourced knowledge project with near real-time coverage of extreme weather phenomena.", delivering the highest quality content of all Wikiprojects on English .🌀

(Jemielniak et al, 2021)

"Improving Inductive Link Prediction Using Hyper-Relational Facts" from hyper-relational knowledge graph such as .

(Ali et al, 2021)


RT @mrnick
Wikimedia and universities: contributing to the global commons in the Age of Disinformation (me with @mlpoulter, who was Wikimedian in Residence at the Bodleian)

RT @sbhatia_

In our latest JASIST paper, we study information asymmetry across various language editions of Wikipedia.

Joint work with @dwaipayanroy and Prateek Jain from @IIITDelhi

"The Role of Local Content in : A Study on Reader and Editor Engagement" local content is relevant for fulfilling readers’ informational needs and stimulating the dynamics of the editing community.

(Miquel et al, 2021)

RT @WikidataW
10 more days until submission deadline of the @wikidata workshop 2021 co-located with @iswc_conf
We are very much looking forward to reading about your scientific work around Wikidata!
More information:

"Skin of Color Representation on Wikipedia: Cross-sectional Analysis" Skin of color images are underrepresented in Wikipedia articles about dermatology.

(Kim et al, 2021)

RT @JemielniakD
Who would've thought? Tropical Cyclones is possibly the most successful crowd-sourced knowledge project on .

RT @elaragon
"Feminist interventions were successful at adding content about women, but they are less successful at addressing structural biases that limit the visibility of that content" — @ILangrock @AnnenbergPenn


RT @elaragon
A large-scale natural experiment by @kaizhu717 et al. revealed that exogenously added content to @Wikipedia led to significant, substantial & long-term increases in content consumption, subsequent contributions & significant attention spillover to downstream hyperlinked articles

RT @ILangrock
Thrilled to be presenting some recent work w/ @sgonzalezbailon at the @wikiresearch Research Showcase tomorrow! We asked: are feminist movements successfully intervening in Wikipedia's troubling gender gap?

"WikiGraphs: A Wikipedia Text - Knowledge Graph Paired Dataset", collected by pairing Wikipedia articles with a subgraph from the Freebase knowledge graph.

(Luyu Wang et al, 2021)


RT @ak92501
WikiGraphs: A Wikipedia Text - Knowledge Graph Paired Dataset

dataset of Wikipedia articles each paired with a knowledge graph

"Communication networks and group effectiveness:
the case of English " effective projects exchange larger volume of direct messages and that
their communication structure allows for complex coordination.

(Rychwalska et al, 2021)

Isabelle Langrock (@ILangrock) from @AnnenbergPenn will present “Bridging Wikipedia’s Gender Gap: Quantifying and Assessing the Impact of Two Feminist Interventions”

Show thread

Kai Zhu (@kaizhu717) from @mcgillu, winner of the @Wikimedia Research award of the year, will present “Content Growth and Attention Contagion in Information Networks: Addressing Information Poverty on Wikipedia”.

Show thread

The July @Wikimedia Research showcase will be live-streamed on July 21, 16:30UTC (9:30am PT/12:30pm ET/18:30pm CET). The theme of this showcase will be “Effects of campaigns to close content gaps” .
Tune in:

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