Exploring Incentive Mechanisms in Crowdsourcing

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Understanding the concept of crowdsourcing and the importance of incentive mechanisms in harnessing the power of a large group of people to accomplish tasks. The journey involves navigating challenges like data roughness, human complexity, and the drive for research, while emphasizing the need for quality data and cost efficiency in plans.


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  1. Incentive Mechanism of Crowd-Sourcing Shangyu Xie Supervised by Prof. Tian

  2. Tap the power of Many to get things DONE!

  3. What is Crowdsourcing? Crowdsourcing is the process of obtaining needed services, ideas or content (Sourcing) by soliciting contributions from a large group of people.(Crowd)

  4. Easy!

  5. No! Ideality Reality

  6. Why?

  7. Roughness of Data

  8. Complexity of Human

  9. Drive of Research

  10. High-quality of Data Cost-efficiency of Plan

  11. Incentive Mechanism We need encourage! It is candy and ice-cream.

  12. RULE is necessary! Force &Encourage

  13. How can it be possible?

  14. What I have been doing Model it from a transaction view based on game theory Categorize and Estimate basic mechanisms which are commonly used in application Try to set up a incentive mechanism work better

  15. A Quick Introduction Worker High Low Requester Profit p-r(q),r(q)-c(1) -r(q),r(q)-c(0) r(q): reward function; c(q): cost function; p: profit for the requester; q: quality of workers work.

  16. Free-riding

  17. Validation approach Majority voting Standard testing

  18. Two commonly used mechanisms Reward for consensus mechanism Reward for quality mechanism

  19. Math(1) Cost function c(q), q [0,1] Convex in q; c (q) >0; c(q) differentiable in q; c(0)>0. Reward function r( ) Undefined Why? Made by requester. Should be r(q), q [0,1]? Utility function u(q), q [0,1] Convex in q; Made by worker.

  20. Math(2) For consensus mechanism, let q be the one worker action; q be other workers action for task; Convergence probability p= Where, K is the number of workers. Further The utility the worker get u(q, q )= ? ?! ?!(? ?)!? ?1 ? ? ?; ?= ? 2 ) ?? ?(? ) ?(? ;

  21. Math(3) The final utility of worker should be Further, ) ?(?,? = 1) = ?? ?(? ; ) ??(?,1 ?? |?=1= ? ? (1) 0 So what does it mean? Budget (at least) ) ? = (? + 1)? (? + 1)? (1

  22. Math(4) For accuracy mechanism, let e be the validation costs for work; be the percent of validated; (0,1] Then, the expected utility ) ? = ?[(1 ?) + ??] ?(? ; Following the same, ?? ??|?=1= ?? ? (1) 0 ? (1 ) ? ?

  23. Math(5) Finally, the budget is ? = (1 ?)? + ?? ) ? (1 ? =(1 ?) + ?? ) ? (1 ? = + ?? + ? (1);

  24. My Thought Tricky but worth a try.

  25. Whats next? Combine the two to find a best trade-off More tricky, focus on r( ), also can be controlled by requester!

  26. Thanks a lot for listening! Q&A!

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