TY - GEN
T1 - Survey of Fairness in Machine Learning for Indonesian General Election Research
AU - Qandi, Ghiffari Assamar
AU - Rakhmawati, Nur Aini
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/9/15
Y1 - 2020/9/15
N2 - Machine Learning is one of the popular fields of scientific research at the moment. Fairness is one of the trust parameters in machine learning research. Machine Learning principle is to remove human biases in providing assessment. Therefore, we conducted a survey using Google Scholar to find out the fairness of Machine Learning research about Indonesian General Election 2019. First, we collect all Machine Learning research related to topics. Then, we made the selection to ensure the research meets up criteria. The main criteria in this study are data collection and data set selection process. Our study finds out that the current state of fairness in machine learning research related to the topic is shallow. Most of the studies almost have no transparency in data collection, and final data set being selected.
AB - Machine Learning is one of the popular fields of scientific research at the moment. Fairness is one of the trust parameters in machine learning research. Machine Learning principle is to remove human biases in providing assessment. Therefore, we conducted a survey using Google Scholar to find out the fairness of Machine Learning research about Indonesian General Election 2019. First, we collect all Machine Learning research related to topics. Then, we made the selection to ensure the research meets up criteria. The main criteria in this study are data collection and data set selection process. Our study finds out that the current state of fairness in machine learning research related to the topic is shallow. Most of the studies almost have no transparency in data collection, and final data set being selected.
KW - data bias
KW - fairness
KW - machine learning
KW - social media data
UR - http://www.scopus.com/inward/record.url?scp=85098956985&partnerID=8YFLogxK
U2 - 10.1109/IC2IE50715.2020.9274583
DO - 10.1109/IC2IE50715.2020.9274583
M3 - Conference contribution
AN - SCOPUS:85098956985
T3 - 2020 3rd International Conference on Computer and Informatics Engineering, IC2IE 2020
SP - 19
EP - 24
BT - 2020 3rd International Conference on Computer and Informatics Engineering, IC2IE 2020
A2 - Hermawan, Indra
A2 - Rasyidin, Muhammad Yusuf Bagus
A2 - Huzaifa, Malisa
A2 - Ermis Ismail, Iklima
A2 - Muharram, Asep Taufik
A2 - Mardiyono, Anggi
A2 - Marcheeta, Noorlela
A2 - Kurniawati, Dewi
A2 - Yuly, Ade Rahma
A2 - Suhanda, Ariawan Andi
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 3rd International Conference on Computer and Informatics Engineering, IC2IE 2020
Y2 - 15 September 2020 through 16 September 2020
ER -