Department of Communication, Stanford University, Stanford, California, United States of America.
PLoS One. 2022 Mar 2;17(3):e0263730. doi: 10.1371/journal.pone.0263730. eCollection 2022.
This study examines journalists' language in their reporting and what their word choices reveal about their cognitive mindsets. Reporters on the campaign trail often cannot afford to engage in systematic information processing as they distill complex political situations under deadline pressures. Twitter's emphasis on speed and informal cultural milieu can further lead journalists to rely on heuristics and emotions. Drawing upon insights from theories of the mind, memory, and language, this study explores how cognitive biases are embodied in journalistic work across different media. We built a large-scale dataset of text corpora that consisted of more than 220,000 news articles, broadcast transcripts, and tweets generated over a year by 73 campaign reporters in the 2016 U.S. presidential election. Leveraging this unique dataset of journalistic outputs from a campaign season, we conducted automated text analyses. Results suggest that heuristics and intuitive thinking played a significant role in the generation of content on Twitter. Journalists infused their tweets with more emotion, compared to when they appeared in traditional media such as newspapers and broadcasts. Journalists' tweets contained fewer words related to analytical and long-term thinking than their writing. Journalists also used informal language in their tweets to connect with their audiences in more personal and casual manners. Across all media examined in the study, journalists described the current race by drawing upon their experience of covering prior presidential elections, a form of anchoring heuristic. This study extends the use of cognitive biases in politics to a new realm, reporting, and shows how journalists' use of language on the campaign trail reflects cognitive biases that arise when individuals make decisions under time pressure and uncertainty.
这项研究考察了记者在报道中的语言运用,以及他们的用词选择如何反映他们的认知思维模式。在竞选活动中,记者往往无法在截止日期的压力下系统地处理信息,因为他们需要提炼复杂的政治情况。而 Twitter 强调速度和非正式的文化环境,可能会进一步促使记者依赖启发式思维和情绪。本研究借鉴了心智、记忆和语言理论的见解,探讨了认知偏见如何体现在不同媒体的新闻工作中。我们构建了一个大规模的文本语料库数据集,其中包括超过 22 万篇新闻文章、广播抄本和 73 名竞选记者在 2016 年美国总统选举期间一年中发布的推文。利用竞选季节新闻产出的这一独特数据集,我们进行了自动化文本分析。结果表明,启发式思维和直觉思维在 Twitter 内容生成中发挥了重要作用。与出现在报纸和广播等传统媒体上的内容相比,记者的推文注入了更多的情感。记者的推文包含的与分析性和长期性思维相关的词汇比他们的写作要少。记者还在推文中使用非正式语言,以更个人化和随意的方式与受众建立联系。在研究中考察的所有媒体中,记者通过借鉴他们对之前总统选举的报道经验来描述当前的竞选情况,这是一种锚定启发式思维。这项研究将政治中的认知偏见的应用扩展到了一个新的领域,即报道,并展示了记者在竞选活动中使用的语言如何反映出个体在时间压力和不确定性下做出决策时出现的认知偏见。