The #StopAsianHate (SAH) movement is a broad social movement against violence targeting Asians and Asian Americans, beginning in 2021 in response to racial discrimination related to COVID-19 and sparking worldwide conversation about anti-Asian hate. However, research on the online SAH movement has focused on English-speaking participants so the spread of the movement outside of the United States is largely unknown. In addition, there have been no long-term studies of SAH so the extent to which it has been successfully sustained over time is not well understood. We present an analysis of 6.5 million "#StopAsianHate" tweets from 2.2 million users all over the globe and spanning 60 different languages, constituting the first study of the non-English and transnational component of the online SAH movement. Using a combination of topic modeling, user modeling, and hand annotation, we identify and characterize the dominant discussions and users participating in the movement and draw comparisons of English versus non-English topics and users. We discover clear differences in events driving topics, where spikes in English tweets are driven by violent crimes in the US but spikes in non-English tweets are driven by transnational incidents of anti-Asian sentiment towards symbolic representatives of Asian nations. We also find that global K-pop fans were quick to adopt the SAH movement and, in fact, sustained it for longer than any other user group. Our work contributes to understanding the transnationality and evolution of the SAH movement, and more generally to exploring upward scale shift and public attention in large-scale multilingual online activism.

In this project we describe a method of modeling semantic leadership across a set of communities associated with the #BlackLivesMatter movement, which has been informed by qualitative research on the structure of social media and Black Twitter in particular. We describe our bespoke approaches to time-binning, community clustering, and connecting communities over time, as well as our adaptation of state-of-the-art approaches to semantic change detection and semantic leadership induction. We find substantial evidence of the leadership role of BLM activists and progressives, as well as Black celebrities. We also find evidence of the sustained engagement of the conservative community with this discourse, suggesting an alternative explanation for how we arrived at the present moment, in which "anti-woke" and "anti-CRT" bills are being enacted nation-wide.

When a book titled Terrorism: A Very Short Introduction, written by the British professor and historian Charles Townshend, was found by police near the pro-Palestine student encampment at Columbia University, it was held up by New York Police Department (NYPD) Deputy Commissioner Kaz Daughtry as evidence of some kind of foreign, radicalising influence on student activism. Apparently, for Daughtry, reading a book on terrorism is evidence of radicalisation. Knowing about terrorism makes you at risk of committing terrorism. Finding a book near a student encampment confirms that pro-Palestine solidarity is linked to terrorism. What Daughtry was arguably trying to do was darken Palestine activism on college campuses across the United States with the association of terrorism.

Qualitative coding, or content analysis, extracts meaning from text to discern quantitative patterns across a corpus of texts. Recently, advances in the interpretive abilities of large language models (LLMs) offer potential for automating the coding process (applying category labels to texts), thereby enabling human researchers to concentrate on more creative research aspects, while delegating these interpretive tasks to AI. Our case study comprises a set of socio-historical codes on dense, paragraph-long passages representative of a humanistic study. We show that GPT-4 is capable of human-equivalent interpretations, whereas GPT-3.5 is not. Compared to our human-derived gold standard, GPT-4 delivers excellent intercoder reliability (Cohen's $\kappa \geq 0.79$) for 3 of 9 codes, and substantial reliability ($\kappa \geq 0.6$) for 8 of 9 codes. In contrast, GPT-3.5 greatly underperforms for all codes ($mean(\kappa) = 0.34$; $max(\kappa) = 0.55$). Importantly, we find that coding fidelity improves considerably when the LLM is prompted to give rationale justifying its coding decisions (chain-of-thought reasoning). We present these and other findings along with a set of best practices for adapting traditional codebooks for LLMs. Our results indicate that for certain codebooks, state-of-the-art LLMs are already adept at large-scale content analysis. Furthermore, they suggest the next generation of models will likely render AI coding a viable option for a majority of codebooks.

A new Instagram page is using AI to make parodies of Republicans attempting to push anti-LGBTQ bills. The account, called @RuPublicans--a spin on name of the political party with a nod to the famed RuPaul–has gained nearly 100,000 followers in less than two weeks since its launch, going viral for its creative AI portraits of different Republicans in full drag. Created by partners and digital nomads Craig and Stephen (who asked to be identified by their first names only to maintain their privacy), the project sees the couple using art and technology for political activism. "We were bearing witness to the rhetoric and actions against the drag community," Craig tells TIME, "and it made us want to do something, so we had this idea of putting the GOP in drag." The pair were traveling in an Airstream through the American West when they came up with the idea for the Instagram account, which comes at a particularly vulnerable time for LGBTQ rights in the U.S. State lawmakers are introducing more anti-LGBTQ this year than in the past collective five years, according to Bloomberg and data from the American Civil Liberties Union.

'Special Report' All-Star Panel reacts to the Senate voting to block a bill that would'codify' abortion nationwide. The Washington Post is facing accusations of activism over a report urging video game companies to take a stand on Roe v. Wade as the Supreme Court mulls overturning the decades-long precedent protecting the legalization of abortions on a federal level. On Wednesday, video game reporters Nathan Grayson and Shannon Liao penned a piece with the headline, "As Roe v. Wade repeal looms, video game industry stays mostly silent," documenting how giants in the gaming world are largely staying out of the abortion debate. The article began by citing Bungie, the "Destiny 2" studio owned by Sony that published a statement "in support of reproductive rights" that decried the overturning of Roe v. Wade among other studios and indie developers. The reporters appeared to side with the company as it faced viral backlash from critics, writing, "Bungie, for its part, stood firm."

In a highly unusual undertaking in the technology industry, the Alphabet Workers Union was formed by over 400 Google engineers and other workers in early January. The union now has about 800 members. The Alphabet Workers Union is a minority union, representing a fraction of the company's more than 260,000 full-time employees and contractors. The workers stated at the outset that it was primarily an effort to give structure to activism at Google, rather than to negotiate for a contract. The union is affiliated with the Communications Workers of America (CWA), a union representing workers in telecommunications and media in the US and Canada.

In late 2018, thousands of workers walked out of Google offices around the globe to protest the company's handling of sexual harassment accusations against prominent executives. The same year, hundreds of Salesforce employees signed a letter to CEO Marc Benioff protesting the fact the company sold products to U.S. Customs and Border Protection. Also in the headlines was an effort by some Microsoft employees to protest the company's bid for work on the U.S. Department of Defense's Joint Enterprise Defense Infrastructure (JEDI) project. In a letter to Microsoft CEO Satya Nadella, the employees wrote, "many Microsoft employees don't believe that what we build should be used for waging war." Tech employee activism is nothing new, but the momentum generated by the 2018 wave of protests was.

Speaking to established patent attorney Nick Transier, we explore why there has been a boom in AI and the special considerations behind AI patents.

We don't remember the words of our enemies but the silence of our friends. As we've seen the enormous upheaval in the field of AI ethics over the past 3 months, I think it behooves us to think a little deeply about the role all of us can play in making a meaningful, positive impact on the world. This idea of becoming an upstander in AI ethics is particularly powerful and I believe that in 2021, this is the right way to help create a healthier ecosystem for us all. As I had spoken about in my piece on Why Civic Competence is needed in AI ethics in 2021, I believe that it comes with an additional rider that we need to act on that competence. We routinely come across scenarios where we can raise our voices (respectfully) and point our injustices when we see them happen around us or to us.