MigrationsKB：公众对移徙的态度及其驱动因素的知识库
MigrationsKB: A Knowledge Base of Public Attitudes towards Migrations and their Driving Factors
摘要：
随着欧洲移民话题的日益增长，公众现在更多地通过Twitter等各种平台表达自己的意见。因此，理解网络话语对捕捉公众舆论至关重要。这项研究的目标是分析社交媒体平台，以量化公众对移民的态度，并确定导致这些态度的不同因素。从2013年到2021年7月，欧洲移民国家的推文被收集，预处理，并使用先进的主题建模技术过滤。执行基于BERT的实体链接和情感分析以及基于注意力的仇恨言论检测来注释策划的推文。此外，还利用外部数据库查明造成人们对移徙持消极态度的潜在社会和经济因素。为了进一步促进社会科学和计算机科学跨学科领域的研究，将成果纳入知识库（KB），即，该模型大大扩展了现有模型，将公众对移民的态度和经济指标考虑在内。这个知识库是使用FAIR原则公开的，可以通过SPARQL端点查询。数据转储在Zenodo上可用。
英文摘要：
With the increasing trend in the topic of migration in Europe, the public is now more engaged in expressing their opinions through various platforms such as Twitter. Understanding the online discourses is therefore essential to capture the public opinion. The goal of this study is the analysis of social media platform to quantify public attitudes towards migrations and the identification of different factors causing these attitudes. The tweets spanning from 2013 to Jul-2021 in the European countries which are hosts to immigrants are collected, pre-processed, and filtered using advanced topic modeling technique. BERT-based entity linking and sentiment analysis, and attention-based hate speech detection are performed to annotate the curated tweets. Moreover, the external databases are used to identify the potential social and economic factors causing negative attitudes of the people about migration. To further promote research in the interdisciplinary fields of social science and computer science, the outcomes are integrated into a Knowledge Base (KB), i.e., MigrationsKB which significantly extends the existing models to take into account the public attitudes towards migrations and the economic indicators. This KB is made public using FAIR principles, which can be queried through SPARQL endpoint. Data dumps are made available on Zenodo.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
