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#virality

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The rapid lowering of barriers to entry for #attention creation through #disintermediating agencies like #YouTube - which also removed quality filters for content being created - has played a key role in creating the twitchy, #chaotic, #disinformation ridden, #virality driven world described here

RE: https://bsky.app/profile/did:plc:5zca2ola2zxpkw37w4f3wxtu/post/3lsixspelzk24

#MastodonTips

When you boost it shares it to your feed and all your followers. Without an algorithm running, boost are what makes content spread and sorta “go viral”. A boost is pretty similar to a retweet in Twitter or share in fb.

The culture on mastodon is to be more generous with boosts, to help posts you like get to more folk.

Boost other new folks especially, help them find their people.

#Boosts#Virality#SocialMedia

Analysis of over 1.2 million Xitter posts found that moral outrage determines the virality of online petitions, but is not associated with the number of signatures they receive (after controlling for virality). Emphasis on prosociality was associated with relatively more signatures.

Summary: neurosciencenews.com/moral-out

Original paper: journals.sagepub.com/doi/10.11

Neuroscience News · Moral Outrage Goes Viral, But Doesn’t Drive Action Online - Neuroscience NewsNeuroscience News provides research news for neuroscience, neurology, psychology, AI, brain science, mental health, robotics and cognitive sciences.

Explosive #virality is one of the emergent features of a hyperconnected #digitalsociety. It can be enhanced by the incentives and designs of platforms, but is intrinsic to the low friction and dense topology of digital #socialnetworks.

Like so many tech changes, cannot be simply labelled as "bad" or "good". It simply means more people act in a coordinated, synchronized fashion.

*What* their action is is the real issue. Good or bad gets multiplied dramatically.

Fortgeführter Thread

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 #socialmedia dataset over a decade (i.e., ~ 30 M twitter posts from 2011-2020).
2. Biased news sources on both sides produced more arousing negative affective content, and this content was also most viral.
3. Biased news sources may generate " #AffectivePollution ”, engaging users at the expense of their knowledge, well-being, and harmony. (2/3)

Fortgeführter Thread

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)