Real or Fake: Eliciting Deepfake Identification Strategies through a Diary Study
Ruoyao Zeng, Siyi Song, Zhengxi Guo, Dion Hoe‐Lian Goh, Chei Sian Lee · Proceedings of the Association for Information Science and Technology · 2023
ABSTRACT The prevalence of deepfake technology has led to concerns about the ability of people to spot real videos from fakes. We address these concerns through a diary study to elicit strategies people use to identify deepfake and real videos. Results indicate that different strategies were associated with deepfake and real video identification. Interestingly, popular strategies were often not as effective as less popular ones. Implications of our work are discussed.