An effort is underway to “document examples of excessive force being used by law enforcement officers during the 2020 protests sparked by the death of George Floyd.assemble reports of police brutality occurring in the George Floyd” in order to “assist journalists, politicians, prosecutors, activists and concerned citizens.”
You can report an incident here (you’ll need to register for a GitHub account if you don’t have one).
To see/use the data already assembled or to learn more, go here (no account/login required).
This is a crowdsourced effort, so spread the word.
Questions? Contact Dan Myers (email@example.com).
With the acceleration of market reforms in the 1990s, the Chinese economy and society underwent a series of major changes. The radical shift of economic system records aggregate GDP growth rate of about 10 percent every year. However, recent waves of mass protest across the country reveal the dark side of China’s economic boom. While citizens’ standards of living are continuing to increase, income inequality has grown to a factor of threat. Individuals belonging to losing groups amidst these wrenching changes have increasingly protested. The number of mass incidents, especially the labor incidents is large and increasing, but the exact number is unknown.
In the absence of official government statistics, I would like to recommend two crowd-mapped data sets on labor strikes in China:
1. China Labour Bulletin
This data set keeps tracking of strikes, protests and other contentious, collective actions taken by Chinese workers to defend their rights and interests. It covers the years 2011 to present and its regular research reports have used Chinese newspapers’ websites, dissident blogs, and information from the organization’s call-in radio show. It is constantly being updated.
2. China Strike
This data set is maintained by a PhD candidate in Political Science at Cornell University. It collects news reports of worker protests between January 1, 2008 and April, 2013, counting more than 800 incidents. According to the instructions, “only contentious, collective actions by workers over workplace issues are included. Thus, land disputes or environmental protests, though important in their own right, are excluded from this site.”
I wanted to let people know/remind folks of an upcoming submission deadline that might be of interest to people.
From 2006-2012, I had a NSF CAREER Award to collect data on online protest across 20 different issue areas. That effort produced two time-series datasets: a panel dataset tracking about 1,200 websites across 5 years, and a cross-sectional dataset tracking new samples of websites each year for five years. Each of these datasets is really two nested sets: one on the overall websites and one on all protest actions that were hosted or linked to from study websites. Continue reading
The Southern Poverty Law Center (SPLC) has developed an international reputation for its tracking of extremism since the 1980s and its innovative lawsuits. Initially founded as a civil rights law firm, the SPLC has been at the forefront of groundbreaking lawsuits that have advanced social justice, furthered reform, and helped end or damage major extremist organizations including several powerful Klan groups.
Each year, the Southern Poverty Law Center produces a list of groups that fall into a variety of “hate” categories. Continue reading
From 2006-2012, I had a NSF CAREER Award to collect data on online protest across 20 different issue areas. That effort produced two time-series datasets: a panel dataset tracking about 1,200 websites across 5 years, and a cross-sectional dataset tracking new samples of websites each year for five years. Each of these datasets is really two nested sets: one on the overall websites and one on all protest actions that were hosted or linked to from study websites.
After discussions with potential users at the CBSM pre-conference in Las Vegas, several data collection team members and I designed a data release process based directly on potential user input that is engineered to develop a strong and informed user base and reviewing community for the dataset. Continue reading