The impact of task description linguistic style on task performance: a text mining of crowdsourcing contests

Volume: 122, Issue: 1, Pages: 322 - 344
Published: Nov 15, 2021
Abstract
Purpose Existing studies on the relationship between task description and task performance are insufficient, with many studies considering description length rather than content to measure quality or only evaluating a single aspect of task performance. To address this gap, this study analyzes the linguistic styles of task descriptions from 2,545 tasks on the Taskcn.com crowdsourcing platform. Design/methodology/approach An empirical analysis was...
Paper Details
Title
The impact of task description linguistic style on task performance: a text mining of crowdsourcing contests
Published Date
Nov 15, 2021
Volume
122
Issue
1
Pages
322 - 344
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.