Jarvis Ruby Rose, Alves Agatha Anet, Zheng Kangning, Hawley Monica, Marchant Amanada, Hawton Keith, John Ann, Pitman Alexandra
Division of Psychiatry, University College London, London, UK.
Division of Psychology and Language Sciences, University College London, London, UK.
Crisis. 2025 May;46(3):166-175. doi: 10.1027/0227-5910/a001005. Epub 2025 Apr 14.
Suicide prevention strategies internationally recommend promoting responsible media reporting of suicide to reduce negative impacts on population suicides. Existing tools to assess the quality of suicide reporting do not capture specific harmful features of the online setting. We aimed to adapt PRINTQUAL, a tool for assessing newspaper reporting of suicide, for online news reports. We identified all online news reports about the 2020 suicide of a British female television celebrity over a 14-month period and used content analysis to identify features of poor-quality and good-quality reporting based on media guidelines on suicide reporting. We gained expert consensus on items to include negative/poor-quality and positive/good-quality subscales for the new tool: PRINTQUAL-web. Weightings were calculated using an expert judgement ranking exercise. Content analysis of 342 online articles published from 15/02/20 to 05/04/21 identified 18 items for a proposed negative/poor-quality subscale and four items for a positive/good-quality subscale, gaining consensus on inclusion/exclusion and weightings, and rescaling scores for easier interpretation. PRINTQUAL-web does not account for article prominence or quantitative reach (e.g., views or circulation) and relies on a binary agree/disagree rating which may not capture nuance. The PRINTQUAL-web and PRINTQUAL tools assess the quality of online and print reporting of suicide, respectively, with rescaling permitting score comparisons across different corpora of reporting.
国际上的自杀预防策略建议促进媒体对自杀事件进行负责任的报道，以减少对公众自杀行为的负面影响。现有的评估自杀报道质量的工具并未涵盖网络环境下的特定有害特征。我们旨在将用于评估报纸自杀报道的PRINTQUAL工具改编用于在线新闻报道。我们识别了在14个月期间内所有关于一位英国女电视名人2020年自杀事件的在线新闻报道，并基于自杀报道的媒体指南，通过内容分析来确定低质量和高质量报道的特征。我们就新工具PRINTQUAL-web的负面/低质量和正面/高质量子量表应包含的项目达成了专家共识。权重是通过专家判断排序练习计算得出的。对2020年2月15日至2021年4月5日期间发表的342篇在线文章进行的内容分析，确定了拟议的负面/低质量子量表的18个项目和正面/高质量子量表的4个项目，在纳入/排除、权重以及重新调整分数以使其更易于解释方面达成了共识。PRINTQUAL-web没有考虑文章的突出程度或量化影响力（如浏览量或发行量），并且依赖于二元的同意/不同意评级，这可能无法捕捉细微差别。PRINTQUAL-web和PRINTQUAL工具分别评估自杀事件的在线和印刷报道质量，重新调整分数后可对不同报道语料库的分数进行比较。
