Difference between revisions of "Emotions"

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(Powerful Emotions)
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[[Category: Psychology]]
 
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Revision as of 17:21, 27 September 2023

Full Title or Meme

Human Emotions have a real impact on the secure operations of digital ecosystems.

Powerful Emotions

  • Fear is an emotion that alerts us to a potential threat or danger, and it makes us want to avoid or escape it. Fear can help us protect ourselves from harm, but it can also limit our opportunities or cause us to overreact.
  • Anger is an emotion that arises when we feel wronged, violated, or frustrated, and it makes us want to fight or assert ourselves. Anger can help us defend our rights, values, or interests, but it can also lead to aggression, violence, or resentment.
  • Happiness is an emotion that indicates satisfaction, pleasure, or joy, and it makes us want to pursue or maintain it. Happiness can enhance our well-being, health, and relationships, but it can also make us complacent, unrealistic, or insensitive.
Clearly it is fear and anger that stir humans to take action. As a rule negative emotions take precedence over positive ones.[1]
An international team of researchers led by Stony Brook University's Mason Youngblood found a negativity bias caused a surge of voter-fraud conspiracy theories on Twitter (now X) during the 2020 presidential election. The researchers modeled about 350,000 actual Twitter users' behaviors and correlated the sharing patterns of roughly 4 million voter fraud-related tweets with people more likely to retweet social posts containing stronger negative emotion. They learned these results align with previous research suggesting social media gives emotionally negative content an edge across diverse domains. Youngblood said the study’s result “has important implications for current debates on how to counter the spread of conspiracy theories and misinformation on social media.”

References

  1. Gregory Filiano Negativity Bias Boosted Voter Fraud Conspiracy Theories Online (2023-09-25) Futurity.org https://www.futurity.org/negativity-bias-voter-fraud-conspiracy-theories-2978472/