  Language is a popular resource to mine speakers' attitude bias, supposing
that speakers' statements represent their bias on concepts. However, psychology
studies show that people's explicit bias in statements can be different from
their implicit bias in mind. Although both explicit and implicit bias are
useful for different applications, current automatic techniques do not
distinguish them. Inspired by psychological measurements of explicit and
implicit bias, we develop an automatic language-based technique to reproduce
psychological measurements on large population. By connecting each
psychological measurement with the statements containing the certain
combination of special words, we derive explicit and implicit bias by
understanding the sentiment of corresponding category of statements. Extensive
experiments on English and Chinese serious media (Wikipedia) and non-serious
media (social media) show that our method successfully reproduce the
small-scale psychological observations on large population and achieve new
findings.
