Social media platforms may provide potential space for discourses that contain hate speech, and even worse, can act as a propagation mechanism for hate crimes. The FBI's Uniform Crime Reporting (UCR) Program collects hate crime data and releases statistic report yearly. These statistics provide information in determining national hate crime trends. The statistics can also provide valuable holistic and strategic insight for law enforcement agencies or justify lawmakers for specific legislation. However, the reports are mostly released next year and lag behind many immediate needs. Recent research mainly focuses on hate speech detection in social media text or empirical studies on the impact of a confirmed crime. This paper proposes a framework that first utilizes text mining techniques to extract hate crime events from New York Times news, then uses the results to facilitate predicting American national-level and state-level hate crime trends. Experimental results show that our method can significantly enhance the prediction performance compared with time series or regression methods without event-related factors. Our framework broadens the methods of national-level and state-level hate crime trends prediction.

For many Asians, heightened xenophobia and the rise in hate crimes during 2020, and now through 2021, added extra stress and trauma to their everyday lives. In a now too-familiar story, Chanhee Choi, a South Korean student at the University of Washington, was attacked in downtown Seattle by a racist assailant, ranting about Chinese people and the coronavirus. Afterward, she decided to do something that only she could have done to bring awareness to the issue. She decided to make a game about it. "It was around the beginning of the pandemic, in 2020," said Choi. "I was walking down the street in downtown Seattle. At the moment I was just back from a trip home to see my family. There, everyone was wearing masks, but here, nobody did it. I was the only one wearing a mask because I just came from South Korea, so I was worried about being around others, if it was possible to get coronavirus. I was just protecting myself, but I didn't expect that someone could judge me or have a problem, or think wearing a mask makes me look like I'm sick. Suddenly one guy started yelling at me like, 'Are you Chinese? He raised his fist to my face. I looked around for help and everyone turned away, like they didn't want to see me. I felt like I was the only Asian in the city, even though Seattle has so many. I was there by myself, knowing what he was doing to me. I had never felt this kind of fear in the United States. Since that happened, I don't go downtown alone now. At the time I noticed that every time Trump was on the news, he mentioned the China virus. But why did that happen to me? That was my first question. I wanted to share this kind of feeling and sadness, so others could try to understand the experience that I had."

Police will use artificial intelligence to predict real-life hate crimes based on Twitter comments in the first trial of its kind in the UK. The AI system, which was developed by Cardiff University researchers, will be used to match hateful comments on the social media site to locations in the UK in an effort to prevent violence offline. Researchers proved that as the number of "hate tweets" – those deemed to be antagonistic in terms of race, ethnicity or religion – made from one location increased, so did the number of racially and religiously aggravated crimes, including violence, harassment and criminal damage. Police plan to use this technology from October 31 to track racist and hateful...

Jury selection for Majors' trial began Jan. 22. He had previously undergone a mental competency examination and been found competent to stand trial. But defense attorneys had argued in court papers that Majors showed signs of dementia and appeared to have problems with his long-term memory -- issues that they said interfered with their ability to prepare a defense.

The white supremacist rally in Charlottesville, Virginia exposed shocking violence resulting from a hate crime. ProPublica, a nonprofit investigative journalism venture, reports that incidents of hate are common in the U.S. To better understand these crimes, ProPublica has partnered with Google's News Lab and data visualization studio Pitch Interactive to build the Documenting Hate News Index. The site collects media reports on hate crimes and bias incidents. Readers can search the incidents according to name, date, and topic. The site unveils a grim picture regarding the hate crimes.