👓 How Facebook and Twitter Help Amplify Fringe Websites | Anti-Defamation League

Read How Facebook and Twitter Help Amplify Fringe Websites (Anti-Defamation League)
Extremists are leveraging Facebook and Twitter to ensure that the hateful philosophies that begin to germinate on message boards like Gab and 8chan find a new and much larger audience.

I’ll note here that I’ve noticed that sites like Gab have been working at transitioning into projects like Mastodon as a means of getting around roadblocks related to getting their mobile apps into marketplaces like the Apple and Google app stores.

We need far more tools to help individuals to control the crap that they see on the internet.

🔖 [1803.03443] Fake news propagate differently from real news even at early stages of spreading

Bookmarked Fake news propagate differently from real news even at early stages of spreading by Zilong Zhao, Jichang Zhao, Yukie Sano, Orr Levy, Hideki Takayasu, Misako Takayasu, Daqing Li, Shlomo Havlin (arxiv.org)
Social media can be a double-edged sword for modern communications, either a convenient channel exchanging ideas or an unexpected conduit circulating fake news through a large population. Existing studies of fake news focus on efforts on theoretical modelling of propagation or identification methods based on black-box machine learning, neglecting the possibility of identifying fake news using only structural features of propagation of fake news compared to those of real news and in particular the ability to identify fake news at early stages of propagation. Here we track large databases of fake news and real news in both, Twitter in Japan and its counterpart Weibo in China, and accumulate their complete traces of re-posting. It is consistently revealed in both media that fake news spreads distinctively, even at early stages of spreading, in a structure that resembles multiple broadcasters, while real news circulates with a dominant source. A novel predictability feature emerges from this difference in their propagation networks, offering new paths of early detection of fake news in social media. Instead of commonly used features like texts or users for fake news identification, our finding demonstrates collective structural signals that could be useful for filtering out fake news at early stages of their propagation evolution.