As creators embrace artificial intelligence to juice creativity, TikTok is launching a tool that helps them label their AI-generated content while also beginning to test “ways to label AI-generated content automatically.” “AI enables incredible creative opportunities, but can potentially confuse or mislead viewers,” TikTok said in announcing labels that can apply to “any content that has been completely generated or significantly edited by AI,” including video, photographs, music and more. The platform also touted a policy that “requires people to label AI-generated content that contains realistic images, audio or video, in order to help viewers contextualize.” Continue reading TikTok Creates New Tools for Labeling Content Created by AI

Video live-streaming service Twitch, which saw a 40 percent increase in channels in 2020, released its first transparency report featuring details on how it provides security for its 26 million daily users. The Amazon-owned company has always struggled to control harassment and hate speech but even more so during its meteoric growth spurt, especially since live content is harder to control. The new report acknowledges that challenge, noting it’s relied on volunteer moderators and user reports as well as its AutoMod tool, introduced in 2016. Continue reading Twitch Report Details the Challenges of Curbing Toxic Speech

With the recent explosion of live audio chat platforms, from Clubhouse to game-centric Discord and Twitter’s Spaces comes a new problem: how to moderate real-time speech. As Discord chief legal officer Clint Smith put it, “audio presents a fundamentally different set of challenges for moderation than text-based communication.” “It’s more ephemeral and it’s harder to research and action,” he added. One problem is that the majority of tools built to detect problematic content are aimed at text comments, not audio. Continue reading Social Media Considers How to Moderate Audio Chat Content