Motivating User-Generated Content with Performance Feedback: Evidence from Randomized Field Experiments

Huang, Ni; Burtch, Gordon; Gu, Bin; Hong, Yili; Liang, Chen; Wang, Kanliang; Fu, Dongpu; Yang, Bo

doi:10.2139/ssrn.2971783

Cited by 9 publications

(17 citation statements)

References 85 publications

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“…Burtch, Hong, Bapna and Griskevicius [15] show that financial incentives, social norms, and connectedness affect both the quantity and quality of UGC interactively. Besides those intrinsic and extrinsic motivations, the literature has also shown that some design features, e.g., gamification, goals ladder, and performance feedback, can effectively spur contributions of UGC on social media platforms [16,17].…”

Section: Social Media and User-generated Contentmentioning

confidence: 99%

Social Media Moderations, User Ban, and Content Generation: Evidence from Zhihu

Zhang¹,

Wei²,

Du³

et al. 2022

Proceedings of the Annual Hawaii International Conference on System Sciences

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Social media platforms have evolved as major outlets for many entities to distribute and consume information. The content on social media sites, however, are often considered inaccurate, misleading, or even harmful. To deal with such challenges, the platforms have developed rules and guidelines to moderate and regulate the content on their sites. In this study, we explore user banning as a moderation strategy that restricts, suspends, or bans a user who the platform deems as violating community rules from further participation on the platform for a predetermined period of time. We examine the impact of such moderation strategy using data from a major Q&A platform. Our analyses indicate that user banning increases a user's contribution after the platform lifts the ban. The magnitude of the impact, however, depends on the user's engagement level with the platform. We find that the increase in contributions is smaller for a more engaged user. Additionally, we find that the quality of the user-generated content (UGC) decreases after the user ban is lifted. Our research is among the first to empirically evaluate the effectiveness of platform moderations. The findings have important implications for platform owners in managing the content on their sites.

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Section: Social Media and User-generated Contentmentioning

confidence: 99%

Social Media Moderations, User Ban, and Content Generation: Evidence from Zhihu

Zhang¹,

Wei²,

Du³

et al. 2022

Proceedings of the Annual Hawaii International Conference on System Sciences

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“…The need for motivating crowdsourcing participants has been a recurrent topic for research [18,31]. A large part of this research has used self-determination theory (SDT) to discuss the participants' source of motivation [32].…”

Section: Motivation and Engagementmentioning

confidence: 99%

“…Many people were also found to participate for extrinsic reasons such as building a reputation to enhance their career prospects [36], demonstrate ability [37], increase status [38] and receive recognition [39]. Most recently, the literature found that a critical motivation for the crowd is identified motivation, as they realize the impact that they have in their community [18] and that they are contributing to a worthy cause [17]. Grant [25,p.…”

Section: Self-determination Theorymentioning

confidence: 99%

“…Participant effort is higher and sustained longer when the participants perceive that an entity or individuals of their liking benefit from their involvement [16][17][18]. Unsurprisingly, early research on volunteerism found that participants in the experimental lab were less likely to sustain effort when their contribution benefited an organization perceived as contrary to their own ideology [19].…”

Section: Introductionmentioning

confidence: 99%

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Propositions on Motivating Supply Chain Frontline Workers in Research Crowdsourcing

Liñan-Jimenez¹,

Sternberg²,

Summer³

et al. 2022

Proceedings of the Annual Hawaii International Conference on System Sciences

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Crowdsourcing projects that engage intrinsically motivated volunteers and are aimed at endeavors such as policy making, research, and social activism, need to understand how to create sustained engagement in their initiatives. We explore what happens when a group of homogeneous volunteers are exposed to heterogeneous beneficiaries. Previous research has presented anecdotal evidence suggesting that truck drivers have strong opinions against foreigners. However, our study finds no support for such notion, as it appears that truck drivers' view their profession as a stronger group in line with social identity theory.

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“…More specifically, solvers' effort can be measured by their participation intensity and persistence (Chris Zhao and Zhu 2014) or their physical, cognitive and emotional engagement (Garcia Martinez 2015;Steils and Hanine 2019). Quantity and quality of solutions have been treated as the most important indicators to measure the solvers' behaviour of submitting solutions (Camacho et al 2019;Huang et al 2019;Pollok, Lüttgens, and Piller 2019).…”

Section: Solvers' Behavioursmentioning

confidence: 99%

Towards an understanding of the decision process of solvers’ participation in crowdsourcing contests for problem solving

Zhang

Chen

2021

Behaviour & Information Technology

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Solvers' participation is essential for successful implementation of crowdsourcing contests for problem solving (CCPS). Many efforts have been made to investigate solvers' various participation behaviours in CCPS. Whether or not a solver will conduct a behaviour is the result of decision making. However, to our knowledge, few studies concentrated on solvers' participation from a decision process perspective and little is known about the factors that influence the decisions that solvers are likely to make. This study aims to develop a framework for demonstrating solvers' decisions and their relations, thereafter identify the factors that affect each of decision makings. It does so through the qualitative structured interviews conducted with solvers in a crowdsourcing platform. The interviews capture four major interrelated solvers' decisions that are decisions of participation in CCPS, platform selection, contest selection and determination of effort level, respectively. Moreover, the factors including solvers' motives, solvers' individual characteristics and incentives, and their roles in each of solvers' decision makings are presented. The findings improve the understanding of solvers' participation in CCPS from a decision process perspective. With the further comprehending of factors that affect solvers' decision makings, this study provides practical implications for crowdsourcing platforms to improve their services for solvers.

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Motivating User-Generated Content with Performance Feedback: Evidence from Randomized Field Experiments

Cited by 9 publications

References 85 publications

Social Media Moderations, User Ban, and Content Generation: Evidence from Zhihu

Social Media Moderations, User Ban, and Content Generation: Evidence from Zhihu

Propositions on Motivating Supply Chain Frontline Workers in Research Crowdsourcing

Towards an understanding of the decision process of solvers’ participation in crowdsourcing contests for problem solving

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