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This repository was archived by the owner on Jun 25, 2022. It is now read-only.
Add an experimental Θ (theta) score that is a representation of the amount of work spent on transcribing.
The amount of time spent on transcriptions should be analyzed for each transcription type (e.g. Twitter, Facebook, etc.) and plotted depending on the character length of the transcription. This info can then be used to design linear functions of each type that map the character length to an approximate transcribing difficulty.
The time needed to transcribe something can be approximated by looking at the time of the transcription minus the time of the claim comment.
1 Θ could for example represent one minute (or second) of transcribing time.
Add an experimental Θ (theta) score that is a representation of the amount of work spent on transcribing.
The amount of time spent on transcriptions should be analyzed for each transcription type (e.g. Twitter, Facebook, etc.) and plotted depending on the character length of the transcription. This info can then be used to design linear functions of each type that map the character length to an approximate transcribing difficulty.
The time needed to transcribe something can be approximated by looking at the time of the transcription minus the time of the
claimcomment.1 Θ could for example represent one minute (or second) of transcribing time.