Attention inequality

Source: Wikipedia, the free encyclopedia.
This article is about attention inequality created by users of internet. For attention inequality created by media, see Media bias.

Attention inequality is the inequality of distribution of attention across users on social networks,[1] people in general,[2] and for scientific papers.[3][4] Yun Family Foundation introduced "Attention Inequality Coefficient" as a measure of inequality in attention and arguments it by the close interconnection with wealth inequality.[5]

Relationship to economic inequality

Attention inequality is related to

non-profit organizations
.

Extent

As data of 2008 shows, 50% of the attention is concentrated on approximately 0.2% of all hostnames, and 80% on 5% of hostnames.[6] The Gini coefficient of attention distribution lay in 2008 at over 0.921 for such commercial domains names as ac.jp and at 0.985 for .org-domains.

The Gini coefficient was measured on Twitter in 2016 for the number of followers as 0.9412, for the number of mentions as 0.9133, and for the number of retweets as 0.9034. For comparison, the world's income Gini coefficient was 0.68 in 2005 and 0.904 in 2018. More than 96% of all followers, 93% of the retweets, and 93% of all mentions are owned by 20% of Twitter.[1]

Causes

At least for scientific papers, today's consensus states that inequality is unexplainable by variations of quality and individual talent.[9][10][11] Matthew effect plays a significant role in the emergence of attention inequality—those who already enjoy a lot of attention get even more attention and those who do not lose even more. Significant evidence could be found that ranking algorithm would alleviate the inequality of number of posts across topics.[7]

Remedy

Government by algorithm is suggested to tackle the problem of attention inequality.[12]

See also

References

  1. ^
    arXiv:1601.07200 [cs.SI
    ].
  2. ^ a b "A New Wealth Gap is Growing—Attention Inequality". Worth. 12 November 2019.
  3. S2CID 145125194
    .
  4. S2CID 10949754
    .
  5. ^ GmbH, finanzen net. "The Yun Family Foundation Introduces 'Attention Inequality Coefficient' as a Measure of Attention Inequality in the Attention Economy | Markets Insider". markets.businessinsider.com.
  6. ^ a b McCurley, Kevin S. (2008). "Income Inequality in the Attention Economy" (PDF). Google Reaserch.
  7. ^ a b Li, Guangrui(Kayla); Mithas, Sunil; Zhang, Zhixing; Tam, Kar Yan (2019). "How does Algorithmic Filtering Influence Attention Inequality on Social Media?". AIS ELibrary.
  8. ISBN 978-3-030-01128-4
    .
  9. JSTOR 1812714
    .
  10. S2CID 7310490
    .
  11. Bibcode:2009arXiv0908.3177L
    .
  12. SSRN 3650010. Retrieved 20 May 2022. {{cite journal}}: Cite journal requires |journal= (help
    )

External links
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