  Crowdsourcing has been widely used recently as an alternative to traditional
annotations that is costly and usually done by experts. However, crowdsourcing
tasks are not interesting by themselves, therefore, combining tasks with game
will increase both participants motivation and engagement. In this paper, we
have proposed a gamified crowdsourcing platform called TeleCrowd based on
Telegram Messenger to use its social power as a base platform and facilitator
for accomplishing crowdsourcing projects. Furthermore, to evaluate the
performance of the proposed platform, we ran an experimental crowdsourcing
project consisting of 500 informal Persian sentences in which participants were
supposed to provide candidates that were the formal equivalent of sentences or
qualify other candidates by upvoting or downvoting them. In this study, 2700
candidates and 21000 votes were submitted by the participants and a parallel
dataset using candidates with the highest points, sum of their upvotes and
downvotes, as the best candidates was built. As the evaluation, BLEU score of
0.54 was achieved on the collected dataset which shows that our proposed
platform can be used to create large corpora. Also, this platform is highly
efficient in terms of time period and cost price in comparison with other
related works, because the whole duration of the project was 28 days at a cost
of 40 dollars.
