Social Comparisons to Motivate Contributions to an Online Community

Harper, F. Maxwell; Li, Sherry Xin; Chen, Yan; Konstan, Joseph A.

doi:10.1007/978-3-540-77006-0_20

Cited by 50 publications

(34 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For example, (Farzan et al 2008) show 2 times increase of contributions in the Beehive system, using a reputation-based approach similar to Comtella. Others Harper et al 2007) show 5 times increase in the number of monthly movie ratings when shown the median of user contribution in a monthly newsletter. It seems that social comparison can be used as a powerful incentive and effectively increase contributions to online communities.…”

Section: Explaining Why Certain Game-design Patterns Workmentioning

confidence: 99%

Motivating participation in social computing applications: a user modeling perspective

Vassileva

2012

User Model User-Adap Inter

183

112

View full text Add to dashboard Cite

The explosive growth of Web-based social applications over the last 10 years has led people to engage in online communities for various purposes: to work, learn, play, share time and mementos with friends and family and engage in public action. Social Computing Applications (SCA) allow users to discuss various topics in online forums, share their thoughts in blogs, share photos, videos, bookmarks, and connect with friends through social networks. Yet, the design of successful social applications that attract and sustain active contribution by their users still remains more of an art than a science. My research over the last 10 years has been based on the hypothesis that it is possible to incorporate mechanisms and tools in the design of the social application that can motivate users to participate, and more generally, to change their behavior in a desirable way, which is beneficial for the community. Since different people are motivated by different things, it can be expected that personalizing the incentives and the way the rewards are presented to the individual, would be beneficial. Also since communities have different needs in different phases of their existence, it is necessary to model the changing needs of communities and adapt the incentive mechanisms accordingly, to attract the kind of contributions that are beneficial. Therefore User and Group (Community) Modeling is an important area in the design of incentive mechanisms. This paper presents an overview of different approaches to motivate users to participate. These approaches are based on various theories from the area of social psychology and behavioral economics and involve rewards mechanisms, reputation, open group user modeling, and social visualization. Future trends are outlined towards convergence with the areas of persuasive systems design, adaptive/personalized systems, and intelligent social learning environments.

show abstract

Section: Explaining Why Certain Game-design Patterns Workmentioning

confidence: 99%

Motivating participation in social computing applications: a user modeling perspective

Vassileva

2012

User Model User-Adap Inter

183

112

View full text Add to dashboard Cite

show abstract

“…Ling et al [18] describe several experiments that evaluated techniques built on factors like uniqueness and goal-setting, and Harper et al [12] evaluated techniques based on social comparisons.…”

Section: Related Workmentioning

confidence: 99%

Eliciting and focusing geographic volunteer work

Priedhorsky

Masli

Terveen

2010

Proceedings of the 2010 ACM Conference on Computer Supported Cooperative Work

View full text Add to dashboard Cite

Open content communities such as wikis derive their value from the work done by users. However, a key challenge is to elicit work that is sufficient and focused where needed. We address this challenge in a geographic open content community, the Cyclopath bicycle route finding system. We devised two techniques to elicit and focus user work, one using familiarity to direct work opportunities and another visually highlighting them. We conducted a field experiment, finding that (a) the techniques succeeded in eliciting user work, (b) the distribution of work across users was highly unequal, and (c) user work benefitted the community (reducing the length of the average computed route by 1 kilometer).

show abstract

“…The role of social translucence is to inform, to create awareness and to enforce accountability [10]. These mechanisms also influence the level of the motivation of the individual and the group via social stimulation happening via social comparison [15], by reinforcing the perception of self-efficacy in a social context [1] or by displaying the value of contribution [25]. As pointed out in [6] despite the individual use of popular Web 2.0 services, such as Wikipedia and YouTube, opportunistic cooperation emerges among individuals due to interactions (e.g.…”

Section: Social Translucence Mechanismmentioning

confidence: 99%

NoiseTube: Measuring and mapping noise pollution with mobile phones

Maisonneuve

Stevens

Niessen

et al. 2009

Environmental Science and Engineering

328

206

View full text Add to dashboard Cite

In this paper we present a new approach for the assessment of noise pollution involving the general public. The goal of this project is to turn GPS-equipped mobile phones into noise sensors that enable citizens to measure their personal exposure to noise in their everyday environment. Thus each user can contribute by sharing their geolocalised measurements and further personal annotation to produce a collective noise map. Acknowledgements This work was partially supported by the EU under contract IST-34721 (TAGora). The TAGora project is funded by the Future and Emerging Technologies program (IST-FET) of the European Commission. Matthias Stevens is a research assistant of the Fund for Scientific Research, Flanders (Aspirant van het Fonds Wetenschappelijk OnderzoekVlaanderen). Links Abstract:In this paper we present a new approach for the assessment of noise pollution involving the general public. The goal of this project is to turn GPSequipped mobile phones into noise sensors that enable citizens to measure their personal exposure to noise in their everyday environment. Thus each user can contribute by sharing their geo-localised measurements and further personal annotation to produce a collective noise map.

show abstract

Social Comparisons to Motivate Contributions to an Online Community

Cited by 50 publications

References 12 publications

Motivating participation in social computing applications: a user modeling perspective

Motivating participation in social computing applications: a user modeling perspective

Eliciting and focusing geographic volunteer work

NoiseTube: Measuring and mapping noise pollution with mobile phones

Contact Info

Product

Resources

About