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#virality

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"Meta CEO Mark Zuckerberg also said in January that the company was removing or dialing back automated systems that reduce the spread of false information. At the same time, Meta is revamping a program that has paid bonuses to creators for content based on views and engagement, potentially pouring accelerant on the kind of false posts it once policed. The new Facebook Content Monetization program is currently invite-only, but Meta plans to make it widely available this year.

The upshot: a likely resurgence of incendiary false stories on Facebook, some of them funded by Meta, according to former professional Facebook hoaxsters and a former Meta data scientist who worked on trust and safety.

ProPublica identified 95 Facebook pages that regularly post made-up headlines designed to draw engagement — and, often, stoke political divisions. The pages, most of which are managed by people overseas, have a total of more than 7.7 million followers.

After a review, Meta said it had removed 81 pages for being managed by fake accounts or misrepresenting themselves as American while posting about politics and social issues. Tracy Clayton, a Meta spokesperson, declined to respond to specific questions, including whether any of the pages were eligible for or enrolled in the company’s viral content payout program.

The pages collected by ProPublica offer a sample of those that could be poised to cash in."

propublica.org/article/faceboo

ProPublicaAs Facebook Abandons Fact-Checking, It’s Also Offering Bonuses for Viral Content
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Public

Key points :
1. To examine the influence of #news source bias on #affective content and #virality over time, we applied #sentiment analysis to a large social #media dataset over a decade (i.e., ~ 30 M twitter posts from 2011-2020).
2. Biased news sources on both sides produced more negative aroused affective content, which was also most viral.
3. Biased news sources may produce " #AffectivePollution ” which engages users at the expense of their knowledge, well-being, and harmony. (2/3)

Public

Key points from "News source bias and sentiment on social media" :
1. To examine the influence of #news source bias on #affective content and #virality over time, we applied #sentiment analysis to a large social #media dataset over a decade (i.e., ~ 30 million twitter posts from 2011-2020).
2. Biased news sources on both sides produced more high arousal negative affective content, and this content was also most viral.
3. The virality of high arousal negative content increased over a decade, particularly for balanced news sources.
4. Biased news sources may generate " #AffectivePollution ” which engages users at the expense of their knowledge, well-being, and harmony. (2/3)

Public

@jannem

I believe that #mastodon may be a good fit for some of those leaving #reddit

Mastodon is also organized in a way that accommodates public discussion of niche topics (through subscribing to hashtags or curated content). There is community #moderation in each instance, and different content policies. Mastodon allows posts with images and videos (and even alt text). Mastodon allows bots, editing posts, third party apps, saving content, etc. These are many of the features that reddit users are concerned about losing.

However, mastodon has no ranking system or algorithm. It is just you and your timeline. Likewise, there is no karma or emphasis on #virality - it is just direct community responses around a topic. Conversations are not infinitely threaded, but rather more focused on a single discussion, and not everything is searchable.

Some communities will thrive here but you are right it is not a forum.

Public

People have said that #Mastodon has built in counter-virality.

I wonder if this is accurate, since I've seen a couple posts hit 500+ boosts and have had a 200+ boost post myself.

It's a different (and better) kind of virality, to be sure, but Mastodon still has significant viral capabilities. They weren't relevant before due to the much smaller scale of the network and stronger sub-cultural norms.

This is likely to change and it will be a wild ride.

Public

@rysiek I think nuanced conversations need to define and separate the concepts of "virality", "reach", and "advertising", among others.

With a subset of potential/actual users raising concerns about "how many eyeballs will see my post", I think intentions matter.

One small slice of that discussion is the category of "influencers" who want to game algorithmically based virality as part of their brand advertising. I think "natural virality" is more important (and possible). #virality #viral

Public

Next was a thorough talk on understanding (old) #Twitter #virality by Filippo Menczer at the #MIT Initiative on the Digital #Economy. This talk gets into the complex interplay between bots, polarization, and #contagion in Twitter #networks. While the days for this kind of research are numbered on current platforms, it's still nice to get insight into how these processes may function. Highly recommend youtube.com/watch?v=JAIX0ekFJL (6/7)

Public

@LilHulkQ
Welcome! It's different in ways that make the toxicity of the #Twitter algorithm & QTs evident. (There are drawbacks to that too, like a lack of #virality--#Mastodon can't replace the crowd-sourced real-time reporting at which Twitter excelled.)

There are still issues surrounding tone-policing of #oppressed people & debates around "#civility", but many people here engage in #dialogue in good faith. After the cultivated nastiness of Twitter, it's refreshing.

Public

'All social media platforms have a Misinformation Amplification Factor [MAF] above 1, which means that on average misinformation gets more distribution on the platforms than more benign content ... Twitter and TikTok have the highest MAF' - Integrity Institute report on the role of design in mitigating the spread of misinformation #Misinformation #SocialMedia #Virality #Design #IntegrityInstitute H/T @tw@aus.social
integrityinstitute.org/our-ide

Integrity InstituteMisinformation Amplification Analysis and Tracking Dashboard — Integrity InstituteWe are tracking how misinformation performs on platforms to measure the extent to which platforms are amplifying misinformation, and the extent to which they are creating an incentive structure that rewards lies and misinformation online.
Public

"The term #outrageporn was coined by essayist #TimKreider in 2009 to describe manufactured indignation, optimized for #virality. In 2019, #socialmedia, financial incentives and the pitfalls of human psychology have coalesced into a perverse production line, in which we are producer-consumers. Outrage porn is exploited by #culturewar profiteers, weaponized by memetic tribes, leveraged by wokonomic capitalists and kept alive by an outrage industrial complex."

areomagazine.com/2019/07/09/hi

AreoHippocratic Oath for the Culture War - AreoBy Conor Barnes
Public

"The nostalgia for the old #blogosphere is a yearning for #socialmedia without #scale, without the looming threat/promise and daily occurrence of #virality.

That world seemed driven by #ideas, or some sort of rationalist ideal of discourse, where the #socialinfrastructure we have now is palpably driven by affect, by #emotions coarsened and made detectable and #quantifiable."
Rob Horning

tinyletter.com/robhorning/lett