Miani Alessandro, Hills Thomas, Bangerter Adrian
Institute of Work and Organizational Psychology, University of Neuchâtel, Rue Emile-Argand 11, 2000, Neuchâtel, Switzerland.
Department of Psychology, University of Warwick, University Road, Coventry, CV47AL, UK.
Behav Res Methods. 2022 Aug;54(4):1794-1817. doi: 10.3758/s13428-021-01698-z. Epub 2021 Oct 25.
The spread of online conspiracy theories represents a serious threat to society. To understand the content of conspiracies, here we present the language of conspiracy (LOCO) corpus. LOCO is an 88-million-token corpus composed of topic-matched conspiracy (N = 23,937) and mainstream (N = 72,806) documents harvested from 150 websites. Mimicking internet user behavior, documents were identified using Google by crossing a set of seed phrases with a set of websites. LOCO is hierarchically structured, meaning that each document is cross-nested within websites (N = 150) and topics (N = 600, on three different resolutions). A rich set of linguistic features (N = 287) and metadata includes upload date, measures of social media engagement, measures of website popularity, size, and traffic, as well as political bias and factual reporting annotations. We explored LOCO's features from different perspectives showing that documents track important societal events through time (e.g., Princess Diana's death, Sandy Hook school shooting, coronavirus outbreaks), while patterns of lexical features (e.g., deception, power, dominance) overlap with those extracted from online social media communities dedicated to conspiracy theories. By computing within-subcorpus cosine similarity, we derived a subset of the most representative conspiracy documents (N = 4,227), which, compared to other conspiracy documents, display prototypical and exaggerated conspiratorial language and are more frequently shared on Facebook. We also show that conspiracy website users navigate to websites via more direct means than mainstream users, suggesting confirmation bias. LOCO and related datasets are freely available at https://osf.io/snpcg/ .
网络阴谋论的传播对社会构成了严重威胁。为了理解阴谋论的内容,我们在此展示阴谋论语言(LOCO)语料库。LOCO是一个包含8800万个词元的语料库,由从150个网站收集的主题匹配的阴谋论(N = 23,937)和主流(N = 72,806)文档组成。模仿互联网用户行为,通过将一组种子短语与一组网站交叉,使用谷歌识别文档。LOCO是分层结构的,这意味着每个文档在网站(N = 150)和主题(N = 600,三种不同分辨率)中交叉嵌套。一组丰富的语言特征(N = 287)和元数据包括上传日期、社交媒体参与度指标、网站受欢迎程度、规模和流量指标,以及政治倾向和事实报道注释。我们从不同角度探索了LOCO的特征,结果表明文档随时间追踪重要的社会事件(如戴安娜王妃之死、桑迪胡克小学枪击案、新冠疫情爆发),而词汇特征模式(如欺骗、权力、主导地位)与从致力于阴谋论的在线社交媒体社区中提取的模式重叠。通过计算子语料库内的余弦相似度,我们得出了最具代表性的阴谋论文档子集(N = 4,227),与其他阴谋论文档相比,这些文档展示了典型且夸张的阴谋论语言,并且在脸书上更频繁地被分享。我们还表明,阴谋论网站用户比主流用户通过更直接的方式访问网站,这表明存在确认偏差。LOCO及相关数据集可在https://osf.io/snpcg/ 免费获取。