Practical POMDP-based test mechanism for quality assurance in volunteer crowdsourcing

Selection of Crowd in Crowdsourcing for Smart Intelligent Applications: A Systematic Mapping Study

“…[29] A context-aware approach for trustworthy worker selection in a social crowd 1 1 3 [68] A survey of task-oriented crowdsourcing 1 1 3 [27] An investigation of factors affecting the visits of online crowdsourcing and labor platforms 1 1 2 [69] Improving reliability of crowdsourced results by detecting crowd workers with multiple identities 1 1 2 [10] Volunteer selection based on crowdsourcing approach 1 1 3 [70] Why incorporating a platform-intermediary can increase crowdsourcees' engagement 1 1 2 [71] A conceptual framework for increasing innovation through improved selection of specialized professionals 1 1 3 [72] Facilitating collocated crowdsourcing on situated displays 1 1 2 [73] Framework and literature analysis for crowdsourcing's answer aggregation 1 1 2 [74] Practical POMDP-based test mechanism for quality assurance in volunteer crowdsourcing 1 1 2 [75] Rules of crowdsourcing: Models, issues, and systems of control 1 1 2 [76] Skills and wills: e keys to identify the right team in collaborative innovation platforms 1 0 2 [77] Task design, motivation, and participation in crowdsourcing contests 1 1 3 [5] Toward an understanding of participants' sustained participation in crowdsourcing contests 1 1 2 [20] Crowdsourcing: A review and suggestions for future research 1 1 2 [7] Of crowds and talents: Discursive constructions of global online labor 1 1 3 [78] e ethical use of crowdsourcing 1 1 2 [79] A transfer learning-based framework of crowd-selection on twitter 1 0 2 [25] Crowd build: A methodology for enterprise software development using crowdsourcing 1 1 3 [80] CrowdEval: A cost-efficient strategy to evaluate crowdsourced worker's reliability 1 1 3 [26] CrowdSelect: Increasing accuracy of crowdsourcing tasks through behavior prediction and user selection 1 0 2 [81] December: A declarative tool for crowd member selection 1 0 2 [82] Declarative user selection with soft constraints 1 0 2 [1] Optimal task partition with delay requirement in mobile crowdsourcing 1 1 3 [83] TDSRC: A task-distributing system of crowdsourcing based on social relation cognition 1 1 3…”

“…An individual can be motivated to gain or share experience [12,62] and increase his or her expertise level [59]. Other reasons for motivating the crowd to participate in tasks are volunteering (free contribution) [6,10,74], reciprocity and expectancy in which users participate for intellectual stimulation [2]. To help a community as they expect that others will also contribute in society [2,41,77], contribution of each every one will help in solving a community problem.…”

Crowd Workers' Continued Participation Intention in Crowdsourcing Platforms

“…Alabuljabbar and Al-Dossari (2019) suggested a dynamic approach for selecting the most suitable quality control mechanism based on requesters' feedback. Shi et al (2019) relied on a partially observable Markov decision process to identify those crowd workers with a good performance given a valid answer for a crowdsourcing problem. The selected workers will be assigned with tasks for solving problems with unknown answers.From the perspective of crowd workers, their participation contributes to MCS platforms' success (Ye & Kankanhalli, 2017;Deng et al, 2016;Sauerman & Franzoni, 2015).…”