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EU calls out Twitter for incomplete disinformation report


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Elon "the fraud" Musk getting exposed for his hypocrisy!

2 ( +8 / -6 )

Fighting ”misinformation” puts us on a dangerous path. Most of the ”covid misinformation” turned out to be facts, blocking of scientists and actual data was a huge problem during 2020-2022 and prevented a lot of useful discussions from taking place.

3 ( +6 / -3 )

Then again it must be close to impossible to deal with these kind of legal commitments with the skeleton crew that is running Tweeter right now, specially when the departments that dealt with disinformation were gutted so completely during the Musk takeover.

-1 ( +2 / -3 )

Ignorant peoples will generally believe anything,it do not matter what platform is use

-2 ( +1 / -3 )

Too much concentration of power in Silicon Valley.

3 ( +3 / -0 )

Twitter did not respond to a request for further comment. The social media company’s press office was shut down and its communications team laid off after Musk bought it last year. 

Then why you asking for comment and who you even asking?

1 ( +3 / -2 )

”misinformation”‘is often found true in 48 hours and “conspiracy theories” now true in weeks not decades.

as much as supposed “misinformation” is now found accurate, it should just be called “pre-truth”.

2 ( +4 / -2 )

Twitter doesn't have enough workers left!

”misinformation”‘is often found true in 48 hours and “conspiracy theories” now true in weeks not decades.

Only when people get stuck in an echo chamber which happens a lot online

"Network segregation and the propagation of misinformation"


How does the ideological segregation of online networks impact the spread of misinformation? Past studies have found that homophily generally increases diffusion, suggesting that partisan news, whether true or false, will spread farther in ideologically segregated networks. We argue that network segregation disproportionately aids messages that are otherwise too implausible to diffuse, thus favoring false over true news. To test this argument, we seeded true and false informational messages in experimental networks in which subjects were either ideologically integrated or segregated, yielding 512 controlled propagation histories in 16 independent information systems. Experimental results reveal that the fraction of false information circulating was systematically greater in ideologically segregated networks. Agent-based models show robustness of this finding across different network topologies and sizes. We conclude that partisan sorting undermines the veracity of information circulating on the Internet by increasing exposure to content that would otherwise not manage to diffuse.

1 ( +1 / -0 )

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