Before revision:  This paper examines the problem of identifying fake content generated by lightweight deep learning models . A dataset containing human and machine-generated headlines was created and a user study indicated that humans were only able to identify the fake headlines in 45.3 \% of the cases.
After revision:  This paper examines the problem of identifying fake content generated by lightweight deep learning models will play a key role in protecting users from misinformation. To this end, a dataset containing human and machine-generated headlines was created and a user study indicated that humans were only able to identify the fake headlines in 45.3 \% of the cases.