  While the COVID-19 pandemic continues its global devastation, numerous
accompanying challenges emerge. One important challenge we face is to
efficiently and effectively use recently gathered data and find computational
tools to combat the COVID-19 infodemic, a typical information overloading
problem. Novel coronavirus presents many questions without ready answers; its
uncertainty and our eagerness in search of solutions offer a fertile
environment for infodemic. It is thus necessary to combat the infodemic and
make a concerted effort to confront COVID-19 and mitigate its negative impact
in all walks of life when saving lives and maintaining normal orders during
trying times. In this position paper of combating the COVID-19 infodemic, we
illustrate its need by providing real-world examples of rampant conspiracy
theories, misinformation, and various types of scams that take advantage of
human kindness, fear, and ignorance. We present three key challenges in this
fight against the COVID-19 infodemic where researchers and practitioners
instinctively want to contribute and help. We demonstrate that these three
challenges can and will be effectively addressed by collective wisdom,
crowdsourcing, and collaborative research.
