This article focuses entirely on people regulating their own decisions to share an article, not any attempt by a "tool wielder" to selectively block any content.
To put their study into context, it suggests that if Facebook asked users to rate whether an unrelated article was accurate before allowing you to share their own, many people would pay attention to whether their own articles were accurate, and less misinformation would be shared. This could be applied universally to any news article, both for detecting people sharing it, and populating the pre-share accuracy judgement. Instead, Facebook streamlines the process to increase engagement, and people blitz through it without stopping to consider the article's accuracy at all, distracted by thinking of all the likes they'll get for posting it. According to the study, when users are already primed to judge the accuracy of an article, they are more likely to self-regulate their own misinformation.
To put their study into context, it suggests that if Facebook asked users to rate whether an unrelated article was accurate before allowing you to share their own, many people would pay attention to whether their own articles were accurate, and less misinformation would be shared. This could be applied universally to any news article, both for detecting people sharing it, and populating the pre-share accuracy judgement. Instead, Facebook streamlines the process to increase engagement, and people blitz through it without stopping to consider the article's accuracy at all, distracted by thinking of all the likes they'll get for posting it. According to the study, when users are already primed to judge the accuracy of an article, they are more likely to self-regulate their own misinformation.