Hi everyone,
We’re preparing for the November 2020 research newsletter and looking for
contributors. Please take a look at
https://etherpad.wikimedia.org/p/WRN202011 and add your name next to any
paper you are interested in covering. Our target publication time is November
29 ca. 14:00 UTC. If you can't make this deadline but would like to cover a
particular paper in the subsequent issue, leave a note next to the paper's
entry below. As usual, short notes and one-paragraph reviews are most
welcome.
*Highlights from this month:*
- A general method for estimating the prevalence of
Influenza-Like-Symptoms with Wikipedia data
- Deriving Geolocations in Wikipedia
- Edit Wars in a Contested Digital City: Mapping Wikipedia’s Uneven
Augmentations of Berlin
- Extracting N-ary Facts from Wikipedia Table Clusters
- Is Wikipedia succeeding in reducing gender bias? Assessing changes in
gender bias in Wikipedia using word embedding
- Modelling User Behavior Dynamics with Embeddings
- Multilingual Contextual Affective Analysis of LGBT People Portrayals
in Wikipedia
- Neural Relation Extraction on Wikipedia Tables for Augmenting
Knowledge Graphs
- Neural Relation Extraction on Wikipedia Tables for Augmenting
Knowledge Graphs
- NwQM: A neural quality assessment framework for Wikipedia
- Spontaneous versus interaction-driven burstiness in human dynamics:
The case of Wikipedia edit history
- Structured Knowledge: Have we made progress? An extrinsic study of KB
coverage over 19 years
- The Hidden Costs of Requiring Accounts: Quasi-Experimental Evidence
From Peer Production
- Using Natural Language Generation to Bootstrap Missing Wikipedia
Articles: A Human-centric Perspective
- Wikipedia Edit-a-thons as Sites of Public Pedagogy
- Wikipedia: A Challenger's Best Friend? Utilising Information-seeking
Behaviour Patterns to Predict US Congressional Elections
- Women's representation and voice in media coverage of the coronavirus
crisis
*Masssly and Tilman Bayer*
[1]
http://meta.wikimedia.org/wiki/Research:Newsletter
[2] WikiResearch (@WikiResearch) | Twitter
<https://twitter.com/WikiResearch>