Topic
Information Integrity
Trustworthy, verifiable and diverse news sources are essential to the function of a democracy. The continued broadening of our digital information space and advancements in AI, however, have expanded the speed and scale of disinformation, creating a need for new verification mechanisms. CNTI’s work delves into the threats of disinformation and explores ways to advance information integrity that safeguard an independent media and public expression.
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Latest
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Addressing Disinformation
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Synthetic Media & Deepfakes
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Most “Fake News” Legislation Risks Doing More Harm Than Good Amid a Record Number of Elections in 2024
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Enhancing Algorithmic Transparency
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Algorithms & Quality News
Focus Areas
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Addressing Disinformation
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How can we ensure that mechanisms to stem disinformation aren’t used to restrict press independence or free speech?
Publishers, platforms and policymakers share a responsibility to respond to growing concerns around disinformation. It is increasingly important to understand and navigate challenging trade-offs between curbing problematic content and protecting independent journalism and fundamental human rights. Efforts to stem misinformation must ensure that governments cannot determine the news that the public receives or serve as arbitrators of truth or intent.
Legislation should articulate high-level goals, understand that initiatives in one country or online context inherently impacts other contexts and delegate enforcement to independent bodies with clear structures for transparency and accountability.
Explore Focus Area Addressing Disinformation -
Algorithms & Quality News
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How can we ensure that algorithms identify and promote fact-based, independent journalism?
Digital platforms subtly guide how we create and discover content. People around the world increasingly rely on digital intermediaries for news and information, and newsrooms must now optimize online content for clicks, shareability and engagement. In this environment, ensuring that algorithmic selection incentivizes high-quality information plays an important role in promoting an informed public, protecting an independent press and enhancing platform credibility. Alongside the need for legal and organizational policy to promote platform transparency, cross-industry collaboration is critical to ensuring that platform algorithms select and prioritize fact-based, independent news content.
Explore Focus Area Algorithms and Quality News -
Enhancing Algorithmic Transparency
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How can public policy enhance algorithmic transparency and accountability while protecting against political or commercial manipulation?
Digital platforms have become central to how people around the world find and share news and information. Currently, each platform operates under its own rules and conventions, including what content is shown and prioritized by algorithmic infrastructures and internal company policies. Establishing legal and organizational policy to promote algorithmic transparency is one critical step toward a structure that allows for more accountability for often-opaque digital platform practices related to content selection and moderation processes. Various stakeholders – including policymakers, researchers, journalists and the public – also often have different purposes and uses for transparency, which need to be thought through to be sure it serves those needs while protecting against the risks of political or commercial manipulation. These considerations also carry through to who is designated to regulate transparency requirements.
Explore Focus Area Enhancing Algorithmic Transparency -
Synthetic Media & Deepfakes
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How do we protect societies from synthetic media and “deepfakes”?
Deepfakes, a form of synthetic media content that uses artificial intelligence (AI) to create realistic depictions of people and events, have proliferated in recent years. There are many questions about how this content affects journalists, fact-based news and mis- and disinformation. In addressing these concerns it is important to consider freedom of expression and safety. Relatedly, policies targeting deepfakes must be clear about what types of content qualify as such.
Detection technologies and provenance approaches are being rapidly developed but it is unlikely they can prevent all potential harms by AI-altered content. Additional research should consider (1) what effects deepfakes have on journalism, (2) how content labeling addresses concerns about deepfakes (and what types are most effective), (3) what international standards should be applied to content to confirm its authenticity and (4) how best to teach the public to identify synthetic media.
Explore Focus Area Synthetic Media and Deepfakes
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