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Human and Algorithmic Contributions to Misinformation Online - Identifying the Culprit

机译:在线误导的人类和算法贡献 - 识别罪魁祸首

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In times of massive fake news campaigns in social media, one may ask who is to blame for the spread of misinformation online. Are humans, in their limited capacity for rational self-reflection or responsible information use, guilty because they are the ones falling for the misinformation? Or are algorithms that provide the basis for filter bubble phenomena the cause of the rise of misinformation in particular in the political public discourse? In this paper, we look at both perspectives and see how both sides contribute to the problem of misinformation and how underlying metrics shape the problem.
机译:在社交媒体的大规模假新闻竞选中,人们可能会询问谁是责备在线误导的传播。是人类,有限的理性自我反思或负责任的信息使用能力有限,因为它们是堕落的错误信息?或者是提供过滤泡沫现象的基础的算法,特别是在政治公共话语中误解错误的原因?在本文中,我们看看两个观点,看看双方如何促成错误信息的问题以及底层指标如何塑造问题。

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