Vuong Quan-Hoang, Nguyen Minh-Hoang, La Viet-Phuong
Centre for Interdisciplinary Social Research, Phenikaa University, Yen Nghia Ward, Ha Dong District, Hanoi, Viet Nam.
A.I. for Social Data Lab (AISDL), Vuong & Associates, Hanoi, Viet Nam.
Data Brief. 2024 Mar 19;54:110342. doi: 10.1016/j.dib.2024.110342. eCollection 2024 Jun.
Environmental activism is crucial for raising public awareness and support toward addressing the climate crisis. However, using climate change mitigation as the cause for blockade, vandalism, and harassment activities might be counterproductive and risk causing negative repercussions and declining public support. The paper describes a dataset of metadata of 89 blockade, vandalism, and harassment events happening 13 countries in recent years. The dataset comprises three main categories: 1) Events, 2) Activists, and 3) Consequences. For researchers interested in environmental activism, climate change, and sustainability, the dataset is helpful in studying the effectiveness and appropriateness of strategies to raise public awareness and support. For researchers in the field of security studies and green criminology, the dataset offers resources to study features and impacts of blockade, vandalism, and harassment events. The Bayesian Mindsponge Framework (BMF) analytics was employed to validate the dataset. Consequently, the estimated result aligns with the Mindsponge Theory's theoretical reasoning.
环境激进主义对于提高公众对应对气候危机的认识和支持至关重要。然而，将减缓气候变化作为封锁、破坏和骚扰活动的理由可能会适得其反，并有可能造成负面影响和公众支持率下降。本文描述了近年来发生在13个国家的89起封锁、破坏和骚扰事件的元数据数据集。该数据集包括三个主要类别：1）事件，2）激进分子，3）后果。对于对环境激进主义、气候变化和可持续性感兴趣的研究人员来说，该数据集有助于研究提高公众意识和支持的策略的有效性和适当性。对于安全研究和绿色犯罪学领域的研究人员来说，该数据集提供了研究封锁、破坏和骚扰事件的特征和影响的资源。采用贝叶斯思维海绵框架（BMF）分析来验证该数据集。因此，估计结果与思维海绵理论的理论推理一致。
