社交媒体和社会影响评估:在不断变化的背景下不断发展的方法
Kate Sherren, Yan Chen, Mehrnoosh Mohammadi1
1Dalhousie University, Canada.
概括
社交媒体数据,如Instagram,为社会影响评估提供了独特的见解. 尽管存在局限性,但这些数据集与传统方法相结合,有助于环境和能源项目的复杂决策.
科学领域:
- 环境科学 环境科学
- 社会科学 社会科学 社会科学
- 数据科学数据科学数据科学
背景情况:
- 网络2.0平台产生了大量的图像和文本数据集,反映了公共生活.
- 这些数据集虽然不完美且有偏见,但它们补充了传统的社会科学数据.
- 与人口普查相比,在线环境的动态性质带来了可靠性挑战.
研究的目的:
- 探索Instagram数据集对社会影响评估的有用性.
- 展示在决策背景下分析社交媒体数据的可转移方法.
- 综合加拿大环境和能源项目的创新方法.
主要方法:
- 主题分析:手动编码,机器视觉,自然语言处理 (NLP),情绪分析,统计分析.
- 空间分析:热点映射,文化生态系统建模.
- 视觉分析:词云,突出映射,拼贴生成.
主要成果:
- 在不同的背景下,Instagram数据可以有效地用于社会影响评估.
- 开发的方法适用于各种社交媒体平台和决策场景.
- 在水电大,堤调整和可再生能源整合项目中成功应用.
结论:
- 社交媒体数据为社会影响评估提供了有价值的补充信息.
- 开发的方法为分析公众感知和参与提供了新的途径.
- 进一步的研究和仔细考虑数据限制对于未来的应用是必不可少的.
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