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psyops

  • by Francis Tseng
  • 238 blocks • about 6 hours ago

> Companies such as Uber and Coca Cola use several major PR companies including Edelman Communications, Cohn & Wolfe and Morrow Communications. Those are professional companies with trained people to defend client companies. They find thread using Google Alerts with the keyword "Uber" "Taxi" "Coke" "Soda". They are usually here within minutes. Other clients have keywords alerts such as M-0N_S@_T0.
>
> Several Uber whisleblowers have confirmed they are doing this. Uber provides the firms with a list of arguments such as "Uber is a good job for drivers, if you don't make any money as a driver you personally just suck" or "Politicians are bribed by the powerful taxi lobby" while attacking anyone explaining how Uber and it's shareholders (Goldman Sachs/Google) have huge political power as crazy conspiracy theorists.
>
> Coca-Cola does the same astroturfing about soda. Any thread about soda taxes gets bullshit argument such as "it's a tax to fund political corruption", "fuck the nanny state" or "it's against constitutional freedom" Public health advocates highlighting how society pays for huge obesity rates through lower productivity, higher premiums, higher medical spending get violently attacked.
>
> What's happening on reddit is just manipulation on a massive scale. And it works.

from: <https://www.reddit.com/r/TrueReddit/comments/6nfi6a/astroturfing_reddit_is_the_future_of_political/dk922wv/>

Added by Francis Tseng
Updated 10 days ago
Astroturfing Reddit is the future of political campaigning
Added by Francis Tseng
Updated 10 days ago
George Orwell: Politics and the English Language
Added by Francis Tseng
Updated 16 days ago

> Using naturally occurring social networks on Twitter, we identified a critical role in emotion when it comes to the diffusion of moral ideas in real, online social networks. Using a large sample of tweets concerning three polarizing issues (n = 563,312), the presence of moral-emotional words in messages increased their transmission by approximately 20% per word.

here, "moral-emotional" words includes: "fight", "war", "greed", "safe", "evil", "destroying", "punish", "shame", "faith", ...

Brady, W. J., Wills, J. A., Jost, J. T., Tucker, J. A., & Van Bavel, J. J. (2017). Emotion shapes the diffusion of moralized content in social networks. Proceedings of the National Academy of Sciences, 201618923.

Moral-emotional language in social networks
Added by Francis Tseng
Updated 21 days ago
social_emotion_network.pdf
Added by Francis Tseng
Updated 21 days ago
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