Group Size and Incentives to Contribute: A Natural Experiment at Chinese Wikipedia
By Xiaoquan Zhang, Feng Zhu. 2011
291 citations recorded by the source corpus.
Subfields: Education, Management Science and Operations Research, Safety Research
View Paper: https://www.semanticscholar.org/paper/8da0f4c1411e185b78e79eac11d782e7f08819d0
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The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Education
In Management Science and Operations Research
Citations in the corpus
- The Needs-Affordances-Features Perspective for the Use of Social Media (2018, unknown): “…communities, provide feedback or respond to questions posted by others, collaborate on creating content, compete in games, or source their talent and expertise on crowdsourcing platforms (Arazy et al. 2011; Malhotra and Majchrzak 2012; Mesgari and Faraj 2012; Shirky 2008; Zhang and Zhu 2011).”
- Information Cascades among Investors in Equity Crowdfunding (2015, unknown): “A number of studies further demonstrate that the value of recognition drives user contributions in online communities (Zhang & Zhu, 2011).”
- Psychological Ownership Motivation and Use of Social Media (2015, unknown): “…project (e.g., editing, additions, deletions) are eventually modified by others, the individual’s contribution to the process of collaborative creation may still give the individual a feeling of achievement in having participated in and contributed to social collaborations (Zhang and Zhu, 2011).”
- Unpaid Crowd Complementors: The Platform Network Effect Mirage (2015, unknown): “Our hypotheses, draws on recent advances on heterogeneous sources of motivation of workers on platforms and implications for productivity (e.g., Zhang and Zhu, 2011; Belenzon and Schankerman, 2014).”
- Understanding the paradigm shift to computational social science in the presence of big data (2014, unknown): “…the available means for direct observations of how users behave in social networks, the capacity to attack new research questions with new interdisciplinary research designs and approaches, such as graph-theoretic models and the analysis of events, to understand hidden user behavior [13,88,89].”
- "Popularity Effect" in User-Generated Content: Evidence from Online Product Reviews (2014, result): “This is also consistent with findings of prior research related to the effect of group size on public goods contribution (Zhang and Zhu 2011).”