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This is the data repository for the raw, anonymized dataset of the study exploring self-censorship within Nigerian newsrooms following the #EndSARS protests. The research focuses on how journalists navigate the use of user-generated content (UGC) under increased government scrutiny, sanctions, and fines. This research was part of a fulfillment for a Master's degree at the school of Journalism, media and Information of the University of Sheffield, the study involved in-depth interviews with 12 journalists from four major Nigerian news organizations affected by sanctions or fines in the past 24 months. The study examines journalistic practices over three years and identifies four primary strategies—conformity, avoidance, equilibrium, and cryptic approaches—employed to maintain professional standards while managing legal and safety challenges. The findings provide empirical evidence on the complex dynamics of self-censorship and UGC use in crisis reporting, laying the groundwork for future research on journalistic coping strategies in similar contexts.

本数据集仓库收纳了一项针对#EndSARS抗议后尼日利亚新闻编辑室自我审查现象的研究的原始匿名数据集。本研究聚焦于在政府监管趋严、制裁与罚款频发的背景下，新闻工作者如何合理运用用户生成内容（User-Generated Content，UGC）。本研究为谢菲尔德大学新闻、媒体与信息学院硕士学位论文的部分研究内容，共对过去24个月内遭受过政府制裁或罚款的四家尼日利亚主流新闻机构的12名新闻工作者开展了深度访谈。本研究对三年间的新闻从业实践进行了考察，归纳出四大核心策略：遵从策略、规避策略、平衡策略与隐晦策略，新闻工作者可借助这些策略在应对法律与安全风险的同时维系专业操守。本研究结果为危机报道场景下自我审查与用户生成内容使用的复杂互动机制提供了实证依据，也为后续同类背景下新闻从业者应对策略的相关研究奠定了基础。