A new approach is proposed that contemplates systems and methods to support human activity tracking and authenticity verification of human-originated digital assets. First, activities performed by a producer while he/she is constructing a digital asset, e.g., an electronic message, are captured. Information/metadata of the captured activities are then packaged/encapsulated inside the constructed digital asset, wherein such metadata includes but is not limited to mouse and/or keyboard activities, software tools used, and other digital traces of the captured human activities. Once the digital asset is transmitted and received by a consumer, the metadata included in the digital asset is unpacked and analyzed to determine various levels of authenticity of the digital asset with respect to whether the digital asset is originated manually by a human being or automatically by a software program. The consumer may then take actions accordingly based on the level of authenticity of the received digital asset.