The 2019 coronavirus disease (COVID-19), emerged late December 2019 in China,
is now rapidly spreading across the globe. At the time of writing this paper,
the number of global confirmed cases has passed two millions and half with over
180,000 fatalities. Many countries have enforced strict social distancing
policies to contain the spread of the virus. This have changed the daily life
of tens of millions of people, and urged people to turn their discussions
online, e.g., via online social media sites like Twitter. In this work, we
describe the first Arabic tweets dataset on COVID-19 that we have been
collecting since January 1st, 2020. The dataset would help researchers and
policy makers in studying different societal issues related to the pandemic.
Many other tasks related to behavioral change, information sharing,
misinformation and rumors spreading can also be analyzed.

本文介绍了 2020 年 1 月 1 日以来首个收集的新冠肺炎疫情下阿拉伯语推特数据集，该数据集可帮助研究人员和决策者研究与该大流行相关的不同社会问题，包括行为变化、信息共享、流言传播等等。

COVID-19 的大规模阿拉伯语 Twitter 数据集

Large Arabic Twitter Dataset on COVID-19

Artificial intelligence for social good (AI4SG) is a research theme that aims
to use and advance artificial intelligence to address societal issues and
improve the well-being of the world. AI4SG has received lots of attention from
the research community in the past decade with several successful applications.
Building on the most comprehensive collection of the AI4SG literature to date
with over 1000 contributed papers, we provide a detailed account and analysis
of the work under the theme in the following ways. (1) We quantitatively
analyze the distribution and trend of the AI4SG literature in terms of
application domains and AI techniques used. (2) We propose three conceptual
methods to systematically group the existing literature and analyze the eight
AI4SG application domains in a unified framework. (3) We distill five research
topics that represent the common challenges in AI4SG across various application
domains. (4) We discuss five issues that, we hope, can shed light on the future
development of the AI4SG research.

该研究提供了 AI4SG 领域中应用和趋势的定量分析和详细资料，并整合了 8 个应用领域和 5 个研究主题的框架，以解决 AI4SG 领域的共同挑战。