Images are an indispensable part of the news content we consume. Highly emotional images from sources of misinformation can greatly influence our judgements. We present two studies on the effects of emotional facial images on users' perception of bias in news content and the credibility of sources. In study 1, we investigate the impact of happy and angry facial images on users' decisions. In study 2, we focus on sources' systematic emotional treatment of specific politicians. Our results show that depending on the political orientation of the source, the cumulative effect of angry facial emotions impacts users' perceived content bias and source credibility. When sources systematically portray specific politicians as angry, users are more likely to find those sources as less credible and their content as more biased. These results highlight how implicit visual propositions manifested by emotions in facial expressions might have a substantial effect on our trust of news content and sources.

中文翻译：

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图像，情感和可信度：情感面部图像对社交媒体中新闻内容偏差的感知和来源可信度的影响

图片是我们消费的新闻内容必不可少的一部分。来自错误信息来源的高度情感化的图像会极大地影响我们的判断。我们针对情绪面部图像对用户对新闻内容偏见和消息来源信誉的感知的影响进行了两项研究。在研究1中，我们调查了高兴和生气的面部图像对用户决策的影响。在研究2中，我们重点研究了来源对特定政客的系统性情感处理。我们的结果表明，根据来源的政治取向，愤怒的面部表情的累积影响会影响用户感知的内容偏差和来源信誉。当消息来源系统地将特定的政治人物描述为愤怒时，用户更有可能发现这些消息来源的可信度较低，而其内容则更具偏见。