Evaluating the Challenge of ‘Fake News’ and Other Malinformation

被有争议的“假新闻”一词所包围，声称呈现事实信息的或明或暗的偏见、歪曲或伪造的报道对整个社会的新闻和信息的有效传播构成了严重的挑战。该项目对澳大利亚及其他地区的“假新闻”和其他虚假信息在公共辩论中的传播、接触和影响的经验证据进行了系统、大规模、混合方法的分析。它采用了一种三角方法，将计算大数据分析与深入的法医分析相结合，以揭示复杂的“假新闻”生态系统，用更准确的术语取代“假新闻”，并根据确凿的证据为政策回应提供建议。

Encompassed by the disputed term ‘fake news’, overtly or covertly biased, skewed, or falsified reports claiming to present factual information present a critical challenge to the effective dissemination of news and information across society. This project conducts a systematic, large-scale, mixed-methods analysis of empirical evidence on the dissemination of, engagement with, and impact of ‘fake news’ and other malinformation in public debate, in Australia and beyond. It takes a triangulated approach, combining computational big data analytics with deep forensic analysis, to reveal the complex ‘fake news’ ecosystem, replace 'fake news' with more precise terminology, and provide recommendations for policy responses based on robust evidence.