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Location-Based Crowdsourcing of Hyperlocal News: Dimensions of Participation Preferences
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2012
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Association for Computing Machinery
Abstract
We studied the mobile users' preferences and concerns of using location-based assignments (LBA) and geotagging in crowdsourced news making. First, nine readers who had submitted reader's photos were interviewed about their perceptions of LBA and geotagging scenarios. Second, a quasi-experiment in field conditions was carried out with nineteen participants. After completing four LBA tasks with a mobile phone, participants were interviewed on their perceptions and asked to complete a questionnaire on their preferences for receiving LBA and usage of geotags. Findings indicate that the perceived benefits of LBA and geotagging are greater than the perceived risks. The task type, temporal context, preciseness of location query, proximity to the reporting location, parallel tasks, social context and incentives affected the participation preferences. We propose a framework for participation preferences to support further studies in location-based crowdsourcing and in the development of crowdsourcing processes and systems.