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Jake Orlowitz

dblp:159/7096 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Collaborative and social computing › online communities
newcomer socialization
0.312017
The Wikipedia Adventure: Field Evaluation of an Interactive Tutorial for New Users · CSCW 2017
Collaborative and social computing
peer production
0.312017
The Wikipedia Adventure: Field Evaluation of an Interactive Tutorial for New Users · CSCW 2017
Collaborative and social computing › peer production
wikipedia
0.112017
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
YearPublicationVenuePosition
2017 The Wikipedia Adventure: Field Evaluation of an Interactive Tutorial for New Users
abstract
Integrating 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
CSCW2