Before revision:  In order to create a solid baseline for detection techniques on the proposed dataset we tested 13 detection methods based on various state-of-the-art approaches . The detection results reported as a baseline using 13 detection methods, confirm that the newest and more sophisticated generative methods based on transformer architecture (e. g., GPT-2) can produce high-quality short texts, difficult to detect .
After revision:  In order to create a solid baseline for detection techniques on the proposed dataset we tested 13 detection methods based on various state-of-the-art approaches ) to both demonstrate the challenges that Tweepfake poses and create a solid baseline of detection techniques. We hope that TweepFake can offer the opportunity to tackle the deepfake detection on social media messages as well .