TY - GEN
T1 - Addressing age-related bias in sentiment analysis
AU - Díaz, Mark
AU - Johnson, Isaac
AU - Lazar, Amanda
AU - Piper, Anne Marie
AU - Gergle, Darren
N1 - Funding Information:
This work was supported in part by NSF grant IIS-1551574. We thank the bloggers who made their experiences publicly available online.
Publisher Copyright:
© 2019 International Joint Conferences on Artificial Intelligence. All rights reserved.
PY - 2019
Y1 - 2019
N2 - Recent studies have identified various forms of bias in language-based models, raising concerns about the risk of propagating social biases against certain groups based on sociodemographic factors (e.g., gender, race, geography). In this study, we analyze the treatment of age-related terms across 15 sentiment analysis models and 10 widely-used GloVe word embeddings and attempt to alleviate bias through a method of processing model training data. Our results show significant age bias is encoded in the outputs of many sentiment analysis algorithms and word embeddings, and we can alleviate this bias by manipulating training data.
AB - Recent studies have identified various forms of bias in language-based models, raising concerns about the risk of propagating social biases against certain groups based on sociodemographic factors (e.g., gender, race, geography). In this study, we analyze the treatment of age-related terms across 15 sentiment analysis models and 10 widely-used GloVe word embeddings and attempt to alleviate bias through a method of processing model training data. Our results show significant age bias is encoded in the outputs of many sentiment analysis algorithms and word embeddings, and we can alleviate this bias by manipulating training data.
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U2 - 10.24963/ijcai.2019/852
DO - 10.24963/ijcai.2019/852
M3 - Conference contribution
AN - SCOPUS:85074943473
T3 - IJCAI International Joint Conference on Artificial Intelligence
SP - 6146
EP - 6150
BT - Proceedings of the 28th International Joint Conference on Artificial Intelligence, IJCAI 2019
A2 - Kraus, Sarit
PB - International Joint Conferences on Artificial Intelligence
T2 - 28th International Joint Conference on Artificial Intelligence, IJCAI 2019
Y2 - 10 August 2019 through 16 August 2019
ER -