Toward Effective Automated Content Analysis via Crowdsourcing

2021 IEEE International Conference on Multimedia and Expo (ICME)(2021)

Cited 5|Views15
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Abstract
Many computer scientists use the aggregated answers of online workers to represent ground truth. Prior work has shown that aggregation methods such as majority voting are effective for measuring relatively objective features. For subjective features such as semantic connotation, online workers, known for optimizing their hourly earnings, tend to deteriorate in the quality of their responses as the...
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Key words
Crowdsourcing,Annotations,Conferences,Semantics,Neural networks,Machine learning,Labeling
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