As generative AI is increasingly contributing to the spread of deceptively realistic misinformation, lawmakers have introduced regulations requiring the disclosure of AI-generated content. However, it is unclear if labels reduce the risk of users falling for AI-generated misinformation. To address this research gap, we study the effect of labels on users’ perception and the implications of mislabeling, focusing on AI-generated images. We first explored users’ opinions and expectations of labels using five focus groups. Although participants were wary of practical implementations, they considered labeling helpful in identifying AI-generated images and avoiding deception. Second, we conducted a survey with 1 354 participants to assess how labels affect users’ ability to recognize misinformation. While labels reduced participants’ belief in false claims supported by AI-generated images, we found evidence of overreliance, leading to unintended side effects: Participants were more susceptible to false claims accompanied by human-made images, and were more hesitant to believe true claims illustrated with labeled AI-generated images.

The video game market is one of the biggest for software products. Video game development has progressed in the last decades to complex and multifaceted endeavors. Games-as-a-Service significantly impacted distribution and gameplay, requiring providers and developers to consider factors beyond game functionality, including security and privacy. New security challenges emerged, including authentication, payment security, and user data or asset protection. However, the security community lacks in-depth insights into the security experiences, challenges, and practices of modern video game development. This paper aims to address this gap in research and highlights the criticality of considering security in the process.

To increase open-source software supply chain security, protecting the development environment of contributors against attacks is crucial. For example, contributors must protect authentication credentials for software repositories, code-signing keys, and their systems from malware.Previous incidents illustrated that open-source contributors struggle with protecting their development environment. In contrast to companies, open-source software projects cannot easily enforce security guidelines for development environments. Instead, contributors’ security setups are likely heterogeneous regarding chosen technologies and strategies.To the best of our knowledge, we perform the first in-depth qualitative investigation of the security of open-source software contributors’ individual security setups, their motivation, decision-making, and sentiments, and the potential impact on open-source software supply chain security. Therefore, we conduct 20 semi-structured interviews with a diverse set of experienced contributors to critical open-source software projects.Overall, we find that contributors have a generally high affinity for security. However, security practices are rarely discussed in the community or enforced by projects. Furthermore, we see a strong influence of social mechanisms, such as trust, respect, or politeness, further impeding the sharing of security knowledge and best practices.We conclude our work with a discussion of the impact of our findings on open-source software and supply chain security, and make recommendations for the open-source software community.

Multi-Factor Authentication is intended to strengthen the security of password-based authentication by adding another factor, such as hardware tokens or one-time passwords using mobile apps.