Monday, November 23, 2015

Detecting Falsified Scientific Data

"Stanford researchers uncover patterns in how scientists lie about their data".  The key was an "obfuscation index":
"We believe the underlying idea behind obfuscation is to muddle the truth," said Markowitz, the lead author on the paper. "Scientists faking data know that they are committing a misconduct and do not want to get caught. Therefore, one strategy to evade this may be to obscure parts of the paper. We suggest that language can be one of many variables to differentiate between fraudulent and genuine science."