Overview: Media

"it's a start... Musk argued that disclosing what amplifies or downranks tweets would reduce the risk of “behind the scenes manipulation.” [but] algorithms alone offer limited insights" because it's not just an algorithm that defines what you see: it's a huge dataset - "content that enters the platform, each user’s p…

A "perverse downstream consequence for debunking... being corrected by another user for posting false political news increases subsequent sharing of low quality, partisan, and toxic content".Looks like evidence for the backfire effect: "Direct correction ... backfires by making people feel defensive or focusing their attention on so…

Great piece on the implications for creators of the shift to algorithmically managed content platforms."Vine was an entirely new cultural platform ... Twitter had unwittingly enabled the creation of a true subculture... [but] didn’t know how to make money from it... in contrast... TikTok has prospered because it generally seems to understa…

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.

"it would be useful to see if an account is a repeat offender or has been repeatedly labeled".Research undermining the backfire effect is now leading Twitter to a "more obvious" label design, and are exploring virality prediction to help speed up labelling. Difficult to assess effectiveness - insufficient public data.

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…

Twitter account claiming to belong to a national “antifa” organization and pushing violent rhetoric related to ongoing protests has been linked to the white nationalist group Identity Evropa... hashtags that trended worldwide ... to insinuate that protesters have been silenced ... "coordinated attempts to disrupt the public conversation"…

the level of bot involvement in discussions about things like US elections or natural disasters is typically 10% to 20%... among tweets about "reopening America," 66% came from accounts that were possibly humans using bot assistants... 34% came from bots...

Twitter added information to refute the inaccuracies in President Trump’s tweets for the first time... urged people to “get the facts”... a CNN story ... and ... bullet points that Twitter had compiled rebutting the inaccuracies... Twitter determined that those unsubstantiated assertions could lead to voter confusion and that they merited a correc…

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 …

societies have experienced extremism and fragmentation without the assistance of Silicon Valley for centuries... So just how responsible is the internet for today’s divisions? In this Twitter map... of the US political landscape, accounts that follow one another are clustered together, and they are color-coded by the kinds of content they commonly…

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 …

The vote marked the culmination of a targeted, 11-day information operation that was amplified by computational propaganda techniques and aimed to change both public perceptions and the behavior of American lawmakers...Computational propaganda... the use of [ICTs] to manipulate perceptions, affect cognition, and influence behavior”... #releaset…

On fully eight of the nine measures, “polarization increases more for the old than the young.” If Facebook is the problem, then how come the problem is worst among those who don’t use Facebook? ... polarization is accelerating fastest among those using the internet the least... social media is important. It’s just not the whole picture... two mai…

thoughtfully designed user interfaces can make us a freer, more humane, and more just society, just as poorly designed ones seem to have made many of us less compassionate, less informed, and more antagonistic... for a case study, we only need to look ... online forum Nextdoor.com originally ... a way of fostering community through neighborhood-s…

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…

quality filter setting ... can improve the quality of Tweets you see by using a variety of signals, such as account origin and behavior... filters lower-quality content, like duplicate Tweets or content that appears to be automated, from your notifications and other parts of your Twitter experience. It does not filter content from people you follo…

As young people flock to Snapchat, news outlets are trying to showcase news on the platform both as live stories and in Discover, where nearly 20 outlets... publish unique content exclusive to Snapchat.... set to launch a redesign of its Discover section to try and boost the number of users who use Discover... While Snapchat’s core function is a m…

Berners-Lee suggested a simple rethink in how social networks and human nature work together could help curtail negative behaviour... "we have responsibility to think how to build systems that tend to produce constructive criticism and harmony as opposed to negativity and bullying."

"It tears conversations apart, and it's really confusing when some people have been live-tweeting an event and those things get scattered all across my timeline."

... it’s fantastic... there is a lot to nitpick, but it is fantastic from a strategic perspective.... Twitter just reinvented the newspaper. It’s not just any newspaper though — it has the potential to be the best newspaper in the world... imagine a tweet-based newspaper drawn not only from the best sources in a mobile-friendly format, but one …

“moments” are mini news digests of tweets across a range of topics... with splashy full-screen photos and videos. Each individual moment is made up of about 10 tweets... allows users to follow stories they’re interested in for a limited period of time... clearly targeted at curious or casual users... a “catch-me-up” type of news digest, using t…

Moments surface the best of what’s happening on Twitter... What you see on Twitter is what’s happening in the world. What follows are the standards and guidelines for creating Moments that we as a Twitter curation team follow. - Twitter Moments: Content Guidelines | About

Moments helps you find the best of Twitter as easily as tapping an icon – regardless of who you follow. Just visit the new tab called Moments, where you will discover stories unfolding on Twitter. - Moments, the best of Twitter in an instant | Twitter Blogs

Google and Twitter to help publishers show “instant articles” to people who use their services on mobile phones... Twitter users or Google search users who click on a link while using their phones will see full articles pop up on their screens almost immediately... an open source project, and hope to convince multiple tech companies to adopt it…