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An interdisciplinary effort is needed for solving the fake news crisis, because the solutions depend not only on AI, but also on social mechanisms. In this paper, we propose an AI blockchain platform to build a strong collaboration among AI blockchain researchers and news media to advance the research fighting against fake news. This platform will provide journalists with blockchain crowd-sourced and AI validated factual data on emerging news. This platform will gather blockchain traced data and AI tools that can provide pointers to the original data sources, news propagation path, AI analyzed experts to consult on a given topic. This will provide journalists with cheaper and reliable sources of information in the Internet social media age. So that factual-sourced reporting can outpace the spread of fake news on social media which will encourage factual news sources as a way to value and promote truth for society. The technical contributions of this paper are (1) mechanism building the factual news database, (2) mechanism generating the news blockchain supply chain graph, and (3) AI blockchain based crowd sourcing fake news ranking mechanisms (4) AI blockchain platform for trusting news ecosystem. (5) reviewing the state of fake news research from the technology and social aspects, and providing list of key research issues and technical challenges.
Shae et al. (Mon,) studied this question.
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