Sources: Twitter has frozen some employee access to content moderation and policy enforcement tools, raising concerns about misinformation ahead of US midterms (Bloomberg)

The Verge:
Sources: Twitter teams hit hardest by the layoffs span product trust and safety, policy, and fighting election misinformation ahead of next week’s US midterms  —  About half of Twitter’s 7,500 employees are now gone, with teams focused on trust and safety issues hit the hardest.

Tiffany Hsu / New York Times:
Research: social media accounts pushing misinformation are targeting users in non-English languages before the US midterms, with scant resistance from platforms  —  More multilingual fact-checking groups are pushing back against misleading translations, manipulated images and outright lies that jump platforms and cross borders.

Corin Faife / The Verge:
Data analysis of Twitter’s Birdwatch crowdsourced moderation tool: posts regarding COVID and “stop the steal” misinformation have been top areas of focus  —  Analysis by The Verge shows that Birdwatch users regularly tackle misinformation topics with the highest stakes, including pandemic response

Jennifer Conrad / Wired:
WeChat, used by millions of Chinese Americans, is one of the main venues for Chinese-language misinformation in the US and may influence the 2022 US midterms  —  Ahead of US midterms, activists are fighting falsehoods circulating in Chinese-language communities that they fear will distort the vote or suppress turnout.

Steven Lee Myers / New York Times:
Research: Russia reactivates its troll and bot networks on Gab, Parler, and other platforms, seeking to influence the US midterms and erode support for Ukraine  —  Researchers have identified a series of Russian information operations to influence American elections and, perhaps, erode support for Ukraine.

Washington Post:
Review of misinformation labels: Twitter and Facebook have done little to refute inaccurate election claims by at least 26 US midterms candidates since April  —  A Post review of hundreds of posts found many with misinformation but none with social media labels