Abstract
The use of crowdsourcing platforms, such as Amazon's Mechanical Turk (MTurk), have been an effective and frequent tool for researchers to gather data from participants for a study. It provides a fast, efficient, and cost-effective method for acquiring large amounts of data for a variety of research projects, such as surveys that may be conducted to assess the use of information technology or to better understand cybersecurity perceptions and behaviors. While the use of such crowdsourcing platforms has gained both popularity and acceptance over the past several years, quality concerns remain a significant issue for the researcher. This paper examines these issues.
| Original language | English |
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| Title of host publication | SIGITE 2022 - Proceedings of the 23rd Annual Conference on Information Technology Education |
| Subtitle of host publication | Proceedings of the 23rd Annual Conference on Information Technology Education |
| Place of Publication | New York |
| Pages | 127-129 |
| Number of pages | 3 |
| ISBN (Electronic) | 9781450393911 |
| DOIs | |
| Publication status | Published - 21 Sept 2022 |
| Event | 23rd Annual Conference on Information Technology Education - Illinois Institute of Technology, Chigaco, United States Duration: 21 Sept 2022 → 24 Sept 2022 Conference number: 23rd |
Publication series
| Name | SIGITE 2022 - Proceedings of the 23rd Annual Conference on Information Technology Education |
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Conference
| Conference | 23rd Annual Conference on Information Technology Education |
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| Abbreviated title | SIGITE'22 |
| Country/Territory | United States |
| City | Chigaco |
| Period | 21/09/22 → 24/09/22 |
Keywords
- Amazon's Mechanical Turk (MTurk)
- crowdsourcing
- human subjects research
- information technology research
- open-ended questions
- qualitative data
- quality control
- quantitative data
- surveys