From Political Treason To The Metaphysical Struggle Between Good And Evil. Levels Of Political Conspiracy Theories And Their Consequences For Diffusion

This dataset explores the prevalence of conspiracy theories in political communication. The analysis reveals that conspiratorial political discourse deviates from non-conspiratorial discourse, displaying internal inconsistencies. Various subgroups within the conspiracy theory community have developed distinct ways of perceiving, classifying, attending, and assigning meaning to events. This study contends that the appeal of conspiracy theories is rooted in their cultural embeddedness. Utilising a dataset of tweets that mentioned, replied to, or were authored by Polish politicians and political parties, this study incorporates Thick Big Data by combining quantitative analysis with qualitative content analysis. The typology of conspiracy theories includes three levels based on their deviation from conventional knowledge. These levels have been empirically illustrated in the political context of Poland. This differentiation sheds light on the diffusion of political conspiracy theories, suggesting that the probability of adoption depends on the proximity to an individual's mindscape.本数据集聚焦于政治传播场景下阴谋论的流行态势。分析结果显示，带有阴谋论色彩的政治话语与非阴谋论话语存在显著偏差，且呈现内在逻辑不一致的特征。阴谋论社群内部的各类子群体，已形成各具特色的事件感知、分类、关注维度与意义赋予路径。本研究提出，阴谋论的吸引力根源在于其文化嵌入性。本研究以提及、回复波兰政客与政党，或由波兰政客及政党创作的推文数据集为支撑，通过融合定量分析与定性内容分析，采用厚大数据（Thick Big Data）研究范式。研究基于阴谋论与主流认知的偏差程度，构建了包含三个层级的阴谋论分类体系，该体系已在波兰政治场景中得到实证阐释。此种分类方式有助于揭示政治阴谋论的传播规律，研究表明，个体接受阴谋论的概率与其心智图景的契合程度紧密相关。