In online shopping, consumers often rely on information such as sales, reviews or ratings to inform their decision making. Such preferences or user behaviors can be subjected to manipulation. For example, a merchant can artificially inflate product sales by paying a click farm. Specifically, the click farm will recruit a number of non-genuine buyers to purchase the products. After the purchases have been made, the buyers will either refund the product minus the commission or no product exchange actually takes place and these buyers are paid a commission for their role in the activity.

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[1] Langyue He, Xiaohan Hao, Wei Ren, "An Analysis Model For Detecting Click Farm in Anonymous Cryptocurrency", IEEE Dataport, 2020. [Online]. Available: http://dx.doi.org/10.21227/d509-qf61. Accessed: Dec. 02, 2021.
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doi = {10.21227/d509-qf61},
url = {http://dx.doi.org/10.21227/d509-qf61},
author = {Langyue He; Xiaohan Hao; Wei Ren },
publisher = {IEEE Dataport},
title = {An Analysis Model For Detecting Click Farm in Anonymous Cryptocurrency},
year = {2020} }
TY - DATA
T1 - An Analysis Model For Detecting Click Farm in Anonymous Cryptocurrency
AU - Langyue He; Xiaohan Hao; Wei Ren
PY - 2020
PB - IEEE Dataport
UR - 10.21227/d509-qf61
ER -
Langyue He, Xiaohan Hao, Wei Ren. (2020). An Analysis Model For Detecting Click Farm in Anonymous Cryptocurrency. IEEE Dataport. http://dx.doi.org/10.21227/d509-qf61
Langyue He, Xiaohan Hao, Wei Ren, 2020. An Analysis Model For Detecting Click Farm in Anonymous Cryptocurrency. Available at: http://dx.doi.org/10.21227/d509-qf61.
Langyue He, Xiaohan Hao, Wei Ren. (2020). "An Analysis Model For Detecting Click Farm in Anonymous Cryptocurrency." Web.
1. Langyue He, Xiaohan Hao, Wei Ren. An Analysis Model For Detecting Click Farm in Anonymous Cryptocurrency [Internet]. IEEE Dataport; 2020. Available from : http://dx.doi.org/10.21227/d509-qf61
Langyue He, Xiaohan Hao, Wei Ren. "An Analysis Model For Detecting Click Farm in Anonymous Cryptocurrency." doi: 10.21227/d509-qf61