Softening Online Extremes Using Network Engineering Article Swipe
Elvira María Restrepo
,
Martín Moreno
,
Lucia Illari
,
Neil F. Johnson
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1109/access.2024.3388851
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1109/access.2024.3388851
The prevalence of dangerous misinformation and extreme views online has intensified since the onset of Israel-Hamas war on 7 October 2023. Social media platforms have long grappled with the challenge of providing effective mitigation schemes that can scale to the 5 billion-strong online population. Here, we introduce a novel solution grounded in online network engineering and demonstrate its potential through small pilot studies. We begin by outlining the characteristics of the online social network infrastructure that have rendered previous approaches to mitigating extremes ineffective. We then present our new online engineering scheme and explain how it circumvents these issues. The efficacy of this scheme is demonstrated through a pilot empirical study, which reveals that automatically assembling groups of users online with diverse opinions, guided by a map of the online social media infrastructure, and facilitating their anonymous interactions, can lead to a softening of extreme views. We then employ computer simulations to explore the potential for implementing this scheme online at scale and in an automated manner, without necessitating the contentious removal of specific communities, imposing censorship, relying on preventative messaging, or requiring consensus within the online groups. These pilot studies provide preliminary insights into the effectiveness and feasibility of this approach in online social media settings.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1109/access.2024.3388851
- https://ieeexplore.ieee.org/ielx7/6287639/6514899/10499247.pdf
- OA Status
- gold
- Cited By
- 1
- References
- 66
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4394828412
All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W4394828412Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1109/access.2024.3388851Digital Object Identifier
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Softening Online Extremes Using Network EngineeringWork title
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-01-01Full publication date if available
- Authors
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Elvira María Restrepo, Martín Moreno, Lucia Illari, Neil F. JohnsonList of authors in order
- Landing page
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https://doi.org/10.1109/access.2024.3388851Publisher landing page
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https://ieeexplore.ieee.org/ielx7/6287639/6514899/10499247.pdfDirect link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://ieeexplore.ieee.org/ielx7/6287639/6514899/10499247.pdfDirect OA link when available
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Misinformation, Computer science, Social media, Scheme (mathematics), Internet privacy, Data science, Population, Social network (sociolinguistics), Scale (ratio), Computer security, World Wide Web, Quantum mechanics, Mathematics, Physics, Demography, Mathematical analysis, SociologyTop concepts (fields/topics) attached by OpenAlex
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1Total citation count in OpenAlex
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2025: 1Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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