Date of Award
Doctor of Philosophy in Information Systems - (Ph.D.)
Yi-Fang Brook Wu
Hai Nhat Phan
L. C. Kaufman
Reethi Narasimhan Iyengar
The widespread and popular use of social media and social networking applications offer a promising opportunity for gaining knowledge and insights regarding population health conditions thanks to the diversity and abundance of online user-generated information (UGHI) relating to healthcare and well-being. However, users on social media and social networking sites often do not supply their complete demographic information, which greatly undermines the value of the aforementioned information for health 2.0 research, e.g., for discerning disparities across population groups in certain health conditions. To recover the missing user demographic information, existing methods observe a limited scope of user behaviors, such as word frequencies exhibited in a user’s messages, leading to sub-optimal results.
Markson, Christopher R., "Detecting user demographics in twitter to inform health trends in social media" (2017). Dissertations. 36.