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Cyberpsychology, Behavior, and Social Networking

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This journal homepage is a reference for empirical research on digital behavior and mental health; useful for grounding AI safety and ethics discussions in evidence about how algorithmic and AI-driven platforms affect human psychology and social behavior.

Metadata

Importance: 35/100journal articlehomepage

Summary

Cyberpsychology, Behavior, and Social Networking is a peer-reviewed academic journal published by Mary Ann Liebert, Inc., covering the psychological, behavioral, and social impacts of internet technologies, social media, and digital environments. It publishes research on how online interactions affect human cognition, behavior, and mental health. The journal is relevant to AI safety discussions around persuasion, manipulation, and the societal effects of algorithmic systems.

Key Points

  • Peer-reviewed journal covering psychological and behavioral effects of digital technologies and social media platforms.
  • Publishes research on online manipulation, persuasion, addiction, and mental health impacts relevant to AI deployment concerns.
  • Addresses social networking behaviors that intersect with AI-driven recommendation systems and algorithmic influence.
  • Relevant source for empirical evidence on how AI-mediated environments shape human behavior and vulnerability to manipulation.
  • Useful reference for AI ethics and governance discussions around platform design, user welfare, and digital harms.

Cited by 1 page

PageTypeQuality
AI-Induced Cyber PsychosisRisk37.0

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Intended for healthcare professionals

# [Cyberpsychology, Behavior, and Social Networking](https://journals.sagepub.com/home/CYB)

![Mary Ann Liebert](https://journals.sagepub.com/pb-assets/societylogos/cyb_society1_logo-1757477671283.gif)

[![International Association of CyberPsychology, Training, and Rehabilitation](https://journals.sagepub.com/pb-assets/societylogos/cyb_society2_logo-1757477684970.gif)](https://iactor.ning.com/ "")

[Impact Factor: **3.9**](https://journals.sagepub.com/metrics/cyb)

Journal Homepage

[Submission Guidelines](https://journals.sagepub.com/author-instructions/CYB)

- ![](https://journals.sagepub.com/cms/asset/3826fb0e-c1f6-4be0-add8-64b4f13312ba/cyba_29_1.cover.png)


The premier peer-reviewed journal for authoritative research on understanding the social, behavioral, and psychological impact of today's social networking practices, including Twitter, Facebook, and internet gaming and commerce. Highly regarded as the go-to source in the field, this journal has been at the forefront of social networking and virtual reality for over 20 years. It is known for its rapid communication articles and in-depth studies surrounding the effects of interactive technologies on behavior and society, both positive and negative.
[View full journal description](https://journals.sagepub.com/description/CYB)

## Browse by

_Articles most recently published online for this journal._

![](https://journals.sagepub.com/specs/products/sage/releasedAssets/images/unlocked-green-bfb04ebc010e1c288c7e48865826b045.svg)Free access

Research article

First published
Mar 10, 2026

### [From Human Web to Agentic Web: When Machines Become the Internet’s Primary Users](https://journals.sagepub.com/doi/10.1177/21522715261432850)

- Brenda K. Wiederhold PhD, MBA, BCB, BCN, FRSM [ORCID identifier](https://orcid.org/0000-0002-3320-0303)

![](https://journals.sagepub.com/specs/products/sage/releasedAssets/images/unlocked-green-bfb04ebc010e1c288c7e48865826b045.svg)Free access

Research article

First published
Mar 4, 2026

### [How Service Robot Anthropomorphism and Employee Self-Efficacy Shape Collaborative Performance](https://journals.sagepub.com/doi/10.1177/21522715261426627)

- Yaqin Cao PhD [ORCID identifier](https://orcid.org/0000-0002-2568-2517)
- Xiangjun Hu MS
- Ming Li PhD
- Wei Lyu PhD

![](https://journals.sagepub.com/specs/products/sage/releasedAssets/images/unlocked-green-bfb04ebc010e1c288c7e48865826b045.svg)Free access

Research article

First published
Mar 1, 2026

### [GRAIT—Growth Readiness in Artificial Intelligence Technologies: Quantifying the Comfort-Growth Paradox](https://journals.sagepub.com/doi/10.1177/21522715261428289)

- Stefania La Rocca [ORCID identifier](https://orcid.org/0000-0002-8389-4665)
- Federico Longoni [ORCID identifier](https://orcid.org/0009-0009-0920-9912)
- Lorenzo Reina
- Giuseppe Riva

![](https://journals.sagepub

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