Demo Data from VLDB 2026 / reviewers in the wild / expert
Jake Orlowitz
dblp:159/7096
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2017
0000-0003-0583-0233ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Human-computer interaction and pervasive computing
1 paper |
Collaborative and social computing · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Collaborative and social computing › online communities
newcomer socialization |
0.3 | 1 | 2017 | The Wikipedia Adventure: Field Evaluation of an Interactive Tutorial for New Users · CSCW 2017 |
Collaborative and social computing
peer production |
0.3 | 1 | 2017 | The Wikipedia Adventure: Field Evaluation of an Interactive Tutorial for New Users · CSCW 2017 |
Collaborative and social computing › peer production
wikipedia |
0.1 | 1 | 2017 | The Wikipedia Adventure: Field Evaluation of an Interactive Tutorial for New Users · CSCW 2017 |
Methods — techniques the papers use, named apart from their topics
survey · 0.3field experiment · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2017 | The Wikipedia Adventure: Field Evaluation of an Interactive Tutorial for New UsersabstractIntegrating new users into a community with complex norms presents a challenge for peer production projects like Wikipedia. We present The Wikipedia Adventure (TWA): an interactive tutorial that offers a structured and gamified introduction to Wikipedia. In addition to describing the design of the system, we present two empirical evaluations. First, we report on a survey of users, who responded very positively to the tutorial. Second, we report results from a large-scale invitation-based field experiment that tests whether using TWA increased newcomers' subsequent contributions to Wikipedia. We find no effect of either using the tutorial or of being invited to do so over a period of 180 days. We conclude that TWA produces a positive socialization experience for those who choose to use it, but that it does not alter patterns of newcomer activity. We reflect on the implications of these mixed results for the evaluation of similar social computing systems. Sneha Narayan, Jake Orlowitz, Jonathan T. Morgan, Benjamin Mako Hill, Aaron D. Shaw |
CSCW | 2 |