Mobile Health Text Misinformation Identification Using Mobile Data Mining

The author aims to classify mobile health text information into categories like true, fake, misinformative, disinformative, and neutral using data mining technologies. The proposed method shows accuracy above 50% but requires further refinement due to the intrinsic difficulty of identifying mobile text misinformation.