Several of the president’s tweets overlaid with disclaimers ... invoking Twitter's Civic Integrity Policy, which prevents users from manipulating elections. Trump’s tweets also effectively throttled by preventing other users from amplifying them. Facebook’s measures were less accusatory, attaching an informational label.Neither stopped Trump …

Another analysis - with a lot of useful links - of the way social platforms managed the NYPost story, and what it tells us "about the status of social media companies’ reform efforts, and [how]... they are still failing to safeguard the democratic process?"First some facts:The NYPost article's "sourcing was so dubious that at l…

The platforms started doing what people concerned about disinformation have been asking for, and immediately came under fire from people concerned about censorship.When The New York Post published a story supposedly incriminating Hunter Biden "YouTube largely did nothing, Facebook deprioritized the Post story (slowing spread until 3rd party f…

Most of the changes will start on Oct. 20, incl.:extra friction on retweeting, encouraging quote RTs adding the users' own thoughtspre-sharing warnings about flagged contentlabelling early election result claims disabling the algorithmic timelineAlso increasing factchecking and additional context on trending tweets.

fake Twitter accounts removed: impersonated black men who left the Dems because of BLM to support Trump ... some had tweets with over 10,000 RTs...bots risk drowning out an authentic black political dialogue... shutting them down risks collateral damage (ie shutting down actual people, not fake accounts)...Great metaphor: "we would have a lot…

big tech companies have spent the past three years working to avoid a repeat of 2016... struggling to handle the new challenges of 2020...foreign governments ... are now using ... bots that are nearly impossible to distinguish from hyperpartisan Americans... partisan groups in the United States have borrowed Russia’s 2016 playbook ... tough calls …

step-by-step guide to collect and analyse data from Twitter, about anything from coronavirus rumours to anti-vax claims... understanding how certain hashtags, links or claims are travelling on Twitter could prove crucial to limiting the spread of damaging misinformation... First Draft has prepared a sample script ...

tweets posted by bots created the impression there was a high level of climate change denial... 6.5 million tweets from ... Trump's June 2017 announcement that he was removing the United States from the Paris climate accord... Posts in support of action to protect the environment were far less likely to come from bots... only 5%...the number …

What if “persuadability” isn’t the right metric to look at? ... Information warfare expert Molly McKew, who specializes in U.S.–Russia relations... "There aren’t good tools to evaluate the impact of shadow campaigns... Information and psychological operations ... are not just about information, but about changing behavior... of more than 36,000 …

Perfectly open communities always go sour. You need filters. Every functional community has them. And that’s where machine learning comes in... If you can detect trolls, you can protect the people they’re trolling by muting or putting a warning over the trolls’ posts... Twitter... already have a way of screening out porn. Why don’t they do the sam…