muslim community
Dating as a Black Muslim in the UK: 'My identity is important'
"I'm increasingly coming to terms with the fact that I may never get married," said Mustafa, a 34-year-old Black Muslim man who asked that we not use his real name. He has been on two dates with women he met on dating apps in the past year โ and they left him feeling fatigued and doubtful that he would ever find a genuine connection with someone. He had turned to the apps, he said, because, there is no dating scene in his British-Somali community. But, he lamented, "it's really hard to find someone. This is not how Mustafa imagined his life would be in his mid-thirties. When he was younger, he pictured himself as a devoted husband and loving father to a couple of children by now. In this mental image of familial bliss, he was also living in a picturesque cottage in the English countryside complete with "a lake or something". Instead, he recently celebrated his 34th birthday single and living in a flat overlooking the Wembley Stadium arch in North West London. But, he added with a shrug, "I've started learning how to cycle." Discussing his hobbies and interests โ cycling, reading, writing โ he sounds more optimistic. He has directed his energy away from the fickle and unpredictable pursuit of love and towards those variables of his life he can control, like picking up new pastimes. 'All they see is a Black guy' Although the United Kingdom's Black Muslim community is culturally diverse, including people from a wide range of African and Caribbean backgrounds, it only comprises 10 percent of the UK's Muslim population. This can make dating or finding a marriage partner particularly difficult. A recent survey by Muzmatch, a Muslim-specific dating app that has been heralded for helping 20,000 Muslims meet and marry since its launch in 2015, revealed the challenges faced by Black Muslims dating in the UK. Muzmatch asked 471 of their members from different ethnic groups if they felt that race and ethnicity affected the matches they received and whether they had negative experiences as a result of this. In their answers, Black users pointed to a range of issues โ including fetishisation, colourism and discrimination. Most of the Black women surveyed complained about being fetishised and branded "exotic". One West African woman described how dark-skinned women were considered unattractive and how she had been called the n-word by one user. A Sudanese man expressed concern that he was matched with women with similar interests to him who subsequently rejected him because their family wouldn't accept him. "It doesn't matter if you're on your deen and have a successful career.
"Short is the Road that Leads from Fear to Hate": Fear Speech in Indian WhatsApp Groups
Saha, Punyajoy, Mathew, Binny, Garimella, Kiran, Mukherjee, Animesh
WhatsApp is the most popular messaging app in the world. Due to its popularity, WhatsApp has become a powerful and cheap tool for political campaigning being widely used during the 2019 Indian general election, where it was used to connect to the voters on a large scale. Along with the campaigning, there have been reports that WhatsApp has also become a breeding ground for harmful speech against various protected groups and religious minorities. Many such messages attempt to instil fear among the population about a specific (minority) community. According to research on inter-group conflict, such `fear speech' messages could have a lasting impact and might lead to real offline violence. In this paper, we perform the first large scale study on fear speech across thousands of public WhatsApp groups discussing politics in India. We curate a new dataset and try to characterize fear speech from this dataset. We observe that users writing fear speech messages use various events and symbols to create the illusion of fear among the reader about a target community. We build models to classify fear speech and observe that current state-of-the-art NLP models do not perform well at this task. Fear speech messages tend to spread faster and could potentially go undetected by classifiers built to detect traditional toxic speech due to their low toxic nature. Finally, using a novel methodology to target users with Facebook ads, we conduct a survey among the users of these WhatsApp groups to understand the types of users who consume and share fear speech. We believe that this work opens up new research questions that are very different from tackling hate speech which the research community has been traditionally involved in.
How one filmmaker is using artificial intelligence to uncover surveillance of her Muslim community in Chicago
Since she was a kid, Assia Boundaoui knew that she, her family and her neighbors were being watched. It was an open secret in her hometown of Bridgeview, a Chicago suburb home to a large Muslim and Arab population where for decades residents experienced government surveillance, including home visits by FBI agents. Using her training as a journalist and documentary filmmaker, Boudaoui sought out proof beginning in 2014 by interviewing community members and filing Freedom of Information requests for records on Operation Vulgar Betrayal, one of the largest pre-9/11 counterrorism probes conducted domestically in the United States and included the Bridgeview community. She also submitted hundreds of privacy waivers on behalf of people who were surveilled to the Department of Justice, requesting files on individuals who had experienced surveillance. When the FBI responded, ultimately saying it would take years to process 33,000 pages of records on the investigation, Boundaoui sued. In 2017, a federal judge ruled that she was entitled to expedited processing, ordering the FBI to release 3,500 pages from the Vulgar Betrayal file each month and to give priority to the sub files of individuals for whom privacy waivers were filed.
This Muslim teen has her own way to protest the election - winning robotics competitions
As thousands of protesters took to Los Angeles streets on the Saturday after election day, Zaina Siyed was 50 miles east in Rialto, staging her own act of resistance in a middle school gym. On a bleacher next to a row of girls in purple hijabs sat the 16-year-old from Chino Hills, a nervous coach waiting to hear the results of a robotics competition. FemSTEM, the team she had created, was made up of eight competition rookies, ages 10 to 14. She had recruited them and raised the money in an online campaign to cover all they would need to compete -- team shirts, registration fees, equipment. Getting others to love what she loved was one objective. "How does a Muslim girl who is passionate about tech encourage her sisters in the Muslim community to embrace the wonderful world of STEM?" she wrote in her pitch for donations, referring to the study of science, technology, engineering and math.