Exploring Thailand’s PDPA Implementation Approaches and Challenges

Thailand’s Personal Data Protection Act (PDPA) will come into full force in 2021. Sharing many similarities with the General Data Protection Regulations (GDPR), the PDPA could similarly severely affect private and public organisations that have to deal with personal data and its privacy in the same way that the GDPR has. While existing literature on the GDPR provides some initial information about how organisations could apply the GPDR implementation methods to the PDPA implementation process, little is known about what organisations are doing to comply with the PDPA. This research aims to bridge this gap. The objective of this research is 1) to gain an in-depth understanding of how large public and private organisations in Thailand are implementing the PDPA; 2) to determine the necessary steps that organisations must take to meet compliance; 3) to identify the challenges faced by large organisations in seeking to comply with the GDPR

Towards Understanding of Deepfake Videos in the Wild

Deepfakes have become a growing concern in recent years, prompting researchers to develop benchmark datasets and detection algorithms to tackle the issue. However, existing datasets suffer from significant drawbacks that hamper their effectiveness. Notably, these datasets fail to encompass the latest deepfake videos produced by state-of-the-art methods that are being shared across various platforms. This limitation impedes the ability to keep pace with the rapid evolution of generative AI techniques employed in real-world deepfake production. Our contributions in this IRB-approved study are to bridge this knowledge gap from current real-world deepfakes by providing in-depth analysis. We first present the largest and most diverse and recent deepfake dataset (RWDF-23) collected from the wild to date, consisting of 2,000 deepfake videos collected from 4 platforms targeting 4 different languages span created from 21 countries: Reddit, YouTube, TikTok, and Bilibili. By expanding the dataset's scope beyond the previous research, we capture a broader range of real-world deepfake content, reflecting the ever-evolving landscape of online platforms. Also, we conduct a comprehensive analysis encompassing various aspects of deepfakes, including creators, manipulation strategies, purposes, and real-world content production methods. This allows us to gain valuable insights into the nuances and characteristics of deepfakes in different contexts. Lastly, in addition to the video content, we also collect viewer comments and interactions, enabling us to explore the engagements of internet users with deepfake content. By considering this rich contextual information, we aim to provide a holistic understanding of the {evolving} deepfake phenomenon and its impact on online platforms