{"title":"知识密集型众包中人群参与的影响因素","authors":"Xuefeng Zhang, Mingshuang Chen, GuanQun Ji","doi":"10.1145/3371238.3371268","DOIUrl":null,"url":null,"abstract":"The crowd participation is critical to the sustained development of knowledge-intensive crowdsourcing (KI-C) and its supportive online platforms. Prior studies suggested and investigated a variety of factors that influence the crowd participation in KI-C. However, to our knowledge, a structured account and integration of the important factors influencing participation is still lacking. So this study aims to fill the gap by conducting a literature review. This review classifies factors into four categories, i.e., task properties, crowdsourcing platform characteristics, motivations of the crowd, and requesters' feedbacks, according to the process of crowdsourcing and its components. Furthermore, we present eighteen factors under these categories. The findings from this study may offer guidelines for developing comprehensive models and approaches to sustain the crowd participation in KI-C.","PeriodicalId":241191,"journal":{"name":"Proceedings of the 4th International Conference on Crowd Science and Engineering","volume":"73 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Factors influencing the crowd participation in knowledge-intensive crowdsourcing\",\"authors\":\"Xuefeng Zhang, Mingshuang Chen, GuanQun Ji\",\"doi\":\"10.1145/3371238.3371268\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The crowd participation is critical to the sustained development of knowledge-intensive crowdsourcing (KI-C) and its supportive online platforms. Prior studies suggested and investigated a variety of factors that influence the crowd participation in KI-C. However, to our knowledge, a structured account and integration of the important factors influencing participation is still lacking. So this study aims to fill the gap by conducting a literature review. This review classifies factors into four categories, i.e., task properties, crowdsourcing platform characteristics, motivations of the crowd, and requesters' feedbacks, according to the process of crowdsourcing and its components. Furthermore, we present eighteen factors under these categories. The findings from this study may offer guidelines for developing comprehensive models and approaches to sustain the crowd participation in KI-C.\",\"PeriodicalId\":241191,\"journal\":{\"name\":\"Proceedings of the 4th International Conference on Crowd Science and Engineering\",\"volume\":\"73 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-10-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 4th International Conference on Crowd Science and Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3371238.3371268\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 4th International Conference on Crowd Science and Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3371238.3371268","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Factors influencing the crowd participation in knowledge-intensive crowdsourcing
The crowd participation is critical to the sustained development of knowledge-intensive crowdsourcing (KI-C) and its supportive online platforms. Prior studies suggested and investigated a variety of factors that influence the crowd participation in KI-C. However, to our knowledge, a structured account and integration of the important factors influencing participation is still lacking. So this study aims to fill the gap by conducting a literature review. This review classifies factors into four categories, i.e., task properties, crowdsourcing platform characteristics, motivations of the crowd, and requesters' feedbacks, according to the process of crowdsourcing and its components. Furthermore, we present eighteen factors under these categories. The findings from this study may offer guidelines for developing comprehensive models and approaches to sustain the crowd participation in KI-C.