  Within the text analysis and processing fields, generated text attacks have
been made easier to create than ever before. To combat these attacks open
sourcing models and datasets have become a major trend to create automated
detection algorithms in defense of authenticity. For this purpose, synthetic
text detection has become an increasingly viable topic of research. This review
is written for the purpose of creating a snapshot of the state of current
literature and easing the barrier to entry for future authors. Towards that
goal, we identified few research trends and challenges in this field.
