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In this paper, we present Digitalkoot, a system for fixing errors in the Optical Character Recognition (OCR) process of old texts through the use of human computation. By turning the work into simple games, we are able to attract a great number of volunteers to donate their time and cognitive capacity for the cause. Our analysis shows how untrained people can reach very high accuracy through the use of crowdsourcing. Furthermore we analyze the effect of social media and gender on participation levels and the amount of work accomplished