Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Safety Net Creator Playbook Trending Now Mashable Selects Look Up Getting Technical with Mashable Gift Ideas For Everyone On Your List Say More Versus In My Bag Mashable @Home All Series You don't need a sold-out LA ticket to watch Marshmello headline. Joseph Green is the Global Shopping Editor for Mashable. He covers VPNs, headphones, fitness gear, dating sites, streaming, and shopping events like Black Friday and Prime Day. All products featured here are independently selected by our editors and writers. If you buy something through links on our site, Mashable may earn an affiliate commission.

Getting Technical with Mashable Look Up Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Mashable Selects Gift Ideas For Everyone On Your List Say More Versus Trending Now In My Bag Mashable @Home Top creators, ranked Creator Playbook All Series UC Berkeley's new Twitch studio gives student-athletes a place to build their audiences A PS5 lounge and professional cameras are part of Berkeley's plan to help student-athletes become creators. Olivia Tauber is the deputy editor of digital culture, covering creators, media, movies, beauty, and more. Based in New York, her work has appeared in The New York Times, Vanity Fair, The Cut, Teen Vogue, Complex, and Interview Magazine. She holds a Master's degree in Journalism from NYU and a Bachelor's from the University of Michigan. She also runs Fan Mail, a weekly pop-culture newsletter.

Look Up Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Mashable @Home Trending Now Mashable Selects Say More Top creators, ranked Gift Ideas For Everyone On Your List Creator Playbook In My Bag AI at School Safety Net All Series Platforms such as YouTube and Twitch typically prohibit violence, but there are some exceptions. Amanda Yeo is an Assistant Editor at Mashable, covering entertainment, culture, tech, science, and social good. Based in Australia, she writes about everything from video games and K-pop to movies and gadgets. The U.S. government is planning to livestream the Fort Hood shooter's execution by firing squad. Secretary of War Pete Hegseth revealed the plan on Thursday, which would revive public executions in the U.S. for the first time in 90 years.

Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Look Up Creator Playbook Mashable Voices Trending Now Say More Mashable Selects Safety Net Versus Gift Ideas For Everyone On Your List Switch Off In My Bag All Series Sounds like Twitch is having issues. Alex Perry is a tech reporter at Mashable who primarily covers video games and consumer tech. Alex has spent most of the last decade reviewing games, smartphones, headphones, and laptops, and he doesn't plan on stopping anytime soon. He is also a Pisces, a cat lover, and a Kansas City sports fan. Seemingly right after the big trailer aired on Netflix, the internet's home for video game streaming went down.

When Twitch announced that streamers could opt out, thousands of users questioned why their content was being used to train AI models in the first place. Twitch has updated its account settings to let streamers opt out of having their content used to help train the artificial intelligence models of Twitch's parent company, Amazon. Although the move has reassured some creators, it remains unclear exactly when the streaming platform began using the posts, streams, and videos of its users to train Amazon's systems. The revelation is raising new concerns about how big tech companies handle their users' data . The opt-out process is simple.

Safety Net Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Look Up Creator Hub Versus Say More Gift Ideas For Everyone On Your List Mashable Selects Switch Off Trending Now In My Bag VidCon with Mashable All Series Twitch is using your content to train Amazon's AI. Here's how to opt out. It's turned on by default. Sam Haysom is the General Assignment Editor, UK, for Mashable. He covers entertainment and online culture, and writes horror fiction in his spare time.

Twitch has been criticised by users after it emerged the popular streaming platform allowed their content to be used to train Amazon's artificial intelligence (AI) models. Amazon owns Twitch and a setting allowing the US tech giant to take data generated by creators and audiences to train AI is turned on by default. Users can now opt out of that, Twitch said on Wednesday, but the announcement sparked a backlash with some users questioning why it was allowed in the first place. Twitch's chief product officer Mike Minton, said it's respecting users by letting them opt out but on why data was collected by default, he admitted: If it's opt-in, nobody would opt-in. Users who remain opted in could have any of their channel content used for training, Minton said during a livestream, adding that the data collected will not be re-sold to other companies.

Twitch has updated its account settings to let streamers opt out of letting Amazon (Twitch's parent) train generative AI models on their content. Some may not have realized this setting was automatically enabled on their account -- which is deeply gross -- but at least they can now tell Amazon to shove it if they are anti-genAI or just don't want to let the company exploit their labor. A support page notes that, if a streamer opts out, their streams (and on-demand versions of those), clips, stream chats and any other text and images on their channel won't be fed into Amazon's models in the future. The purpose of these models, Twitch says, "is to generate or synthesize text, audio, images or video." Streamers' content may still be used for other AI- or machine learning-powered purposes, including automated captions. Twitch notes that its AutoMod tool doesn't retain users' data or tap into that to generate any material.

The Twitch streamer could pivot from influencer to candidate. But he tells WIRED's podcast he'd rather use his platform to tell Dems "you can't podcast your way out of this problem." Hasan Piker is many things to many people. They don't all feel the same way about Piker or his politics, but most presumably agree on one thing: He is a relentless human being. Most days a week, you can find the 34-year-old Twitch streamer talking to his audience, often for six to nine hours at a stretch. And during President Trump's second term, there's plenty of that to go around. He has nearly 3 million followers on Twitch and has hosted conversations with Senator Bernie Sanders and US representative Alexandria Ocasio-Cortez. He claims his election night stream in 2024 reached a staggering 7.5 million viewers. On this episode of, I talked to Piker about his looks, his love of Italian sandwiches, and any future political aspirations he might (or might not) want to tease. It's great to be here. I heard you were just at the gym. Yeah, I was at the park. Some days I take my dog and I play a little bit of basketball and get to hang out with some people.

To meet the demands of content moderation, online platforms have resorted to automated systems. Newer forms of real-time engagement($\textit{e.g.}$, users commenting on live streams) on platforms like Twitch exert additional pressures on the latency expected of such moderation systems. Despite their prevalence, relatively little is known about the effectiveness of these systems. In this paper, we conduct an audit of Twitch's automated moderation tool ($\texttt{AutoMod}$) to investigate its effectiveness in flagging hateful content. For our audit, we create streaming accounts to act as siloed test beds, and interface with the live chat using Twitch's APIs to send over $107,000$ comments collated from $4$ datasets. We measure $\texttt{AutoMod}$'s accuracy in flagging blatantly hateful content containing misogyny, racism, ableism and homophobia. Our experiments reveal that a large fraction of hateful messages, up to $94\%$ on some datasets, $\textit{bypass moderation}$. Contextual addition of slurs to these messages results in $100\%$ removal, revealing $\texttt{AutoMod}$'s reliance on slurs as a moderation signal. We also find that contrary to Twitch's community guidelines, $\texttt{AutoMod}$ blocks up to $89.5\%$ of benign examples that use sensitive words in pedagogical or empowering contexts. Overall, our audit points to large gaps in $\texttt{AutoMod}$'s capabilities and underscores the importance for such systems to understand context effectively.