Title | ||
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Strategies for Communicating Reputation Mechanisms in Crowdsourcing-Based Applications. |
Abstract | ||
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With the emergence of crowdsourcing-based applications -those systems that make intensive use of information provided voluntarily by a crowd of generally unknown users - the participation of end users in digital content generation has been increasing continuously. This scenario, thus, allow users to move from consumers to producers of information, and vice versa. Therefore, some criteria is needed and used (by the application and end-users) to decide and classify whether some content provided by any other user is realiable or not. In the real world, the current or historical people's good reputation usually ensures a high degree of reliability of the information and data received from them. Our work, in turn, aimed at exploring reputation Mechanisms in two CrowdsourcingBased Applications contexts. Firstly, we studied the strategies used by the applications to identify, ensure and communicate to end users, the degree of reliability of users-generated content. Second, we explored, empirically, how users interpret and understand those strategies. This paper presents the results of the studies and the potential influences to human-computer interaction. |
Year | DOI | Venue |
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2017 | 10.1007/978-3-319-58562-8_1 | Lecture Notes in Computer Science |
Keywords | Field | DocType |
Mobile social computing and social media,Crowdsourcing,Semiotic engineering,Human-computer interaction,Reputation | Data science,Internet privacy,End user,Computer science,Crowdsourcing,Semiotic engineering,Knowledge management,Digital content,Reputation | Conference |
Volume | ISSN | Citations |
10283 | 0302-9743 | 1 |
PageRank | References | Authors |
0.37 | 12 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Orlando P. Afonso | 1 | 2 | 0.73 |
Luciana Salgado | 2 | 5 | 1.80 |
Jose Viterbo | 3 | 20 | 10.34 |