Over the past few years, challenges stemming from information disorder and its associated issues have presented significant hurdles in various domains including healthcare, election reporting, and political journalism on a global scale. Current discussions regarding potential solutions to information disorder have predominantly centered around modifications to the management and oversight of digital platforms, along with the necessity of enhancing the clarity of their operations.

With the rise of social media, it has become easier for false information to spread quickly and widely. Some common methods to deal with information disorder include fact-checking websites and tools, promoting media literacy and critical thinking skills, and increasing transparency and accountability in the media. However, this is an ongoing and complex issue that requires a multi-faceted approach from individuals, governments, and tech companies alike. Hence, building upon the tangible achievements of the organizers' prior research endeavors, we aim to convene the first ACM workshop on Security-Centric Strategies for Combating Information Disorder (SCID), co-located with the 19th ACM ASIA Conference on Computer and Communications Security (ACM AsiaCCS 2024). Our intention is to foster the exchange of fresh insights and research within this domain, particularly emphasizing the perspective of computer security.

The workshop aims to explore innovative ways to combat information disorder, including misinformation, disinformation, and malinformation. We welcome contributions in areas such as computational detection methods, cognitive analysis, interdisciplinary strategies, and ethical considerations. This workshop fosters collaboration among researchers, practitioners, and policymakers to address the challenges posed by the proliferation of false and misleading information from the computer security perspective.

Topics of Interest (but are not limited to):
Automated detection of information disorder.

Identifying and mitigating the spread of false information online, fake news.

Fact-checking and verification mechanisms.

Rumour spreading and its impact on public perception.

Developing tools and techniques for identifying false or manipulated content.

Cybersecurity risks of deep/cheapfakes and AI-generated multimedia contents.

Technical measures to detect and prevent dissemination of false information.

Evaluating the effectiveness of existing strategies for countering disinformation.

Ethical considerations in content filtering and moderation.

Psychological aspects of information sharing and belief formation.

Leveraging artificial intelligence and machine learning for misinformation analysis.

Cross-disciplinary approaches to combating information disorder.

Case studies of past incidents involving information manipulation.

Digital literacy and educational interventions for promoting media literacy.

Assessing the impact of disinformation on individuals, organizations, and society as a whole.

Regulation, law, and policies around information disorder.

Educating end users on how to identify and avoid manipulation and falsehoods.

Digital forensics techniques for investigating information manipulation.

Malware dissemination and propagation analysis.

Secure software development and resilience against manipulation.

Human-centric approaches to misinformation mitigation.

Privacy considerations in misinformation detection and mitigation.

Algorithmic transparency and accountability in content recommendation