The transition from physical gambling environments to ubiquitous digital platforms has fundamentally altered the risk profile of betting activities. 🏛️📜

"Why Internet Gambling Can Be More Dangerous Than Casinos." For those interested in technology ethics, socio-economic impacts of the internet, and consumer protection, this is an excellent resource.

Full article here:
https://www.mattsheabooks.net/why-internet-gambling-can-be-more-dangerous-than-casinos/

#TechEthics #DigitalSociology #ConsumerAdvocacy #PublicInterest #OnlineRegulation #BehavioralScience

Why Internet Gambling Can Be More Dangerous Than Casinos - Matt Shea Books

Discover why internet gambling can be more dangerous than casinos: higher addiction risk, instant access, fast play, and fewer limits.

Matt Shea Books

The proliferation of digital gambling platforms necessitates a rigorous examination of the intersection between consumer technology and behavioral vulnerability.

"Is There Such a Thing as Safe Online Gambling?" For those interested in tech ethics, public safety, and the sociology of the internet, this is an excellent resource.

Full article here:
🔗 https://www.mattsheabooks.net/is-there-such-a-thing-as-safe-online-gambling/

#TechEthics #MattShea #PublicSafety #DigitalSociology #BehavioralHealth #ConsumerProtection #CyberAwareness

Is There Such a Thing as Safe Online Gambling? - Matt Shea Books

Is safe online gambling real? Explore the risks, psychology, and hard facts behind digital betting and what true protection is.

Matt Shea Books
Sociología del cortejo digital: El declive de la gamificación en el emparejamiento y el retorno a dinámicas de interacción social no mediadas en 2026. 🧠👾 🔗 https://www.glitchmental.com/2026/02/gen-z-apps-citas-fin-swipe-2026.html #DigitalSociology #DatingTrends #GenZStudies #GlitchMentalMX
Antropología del consumo digital: Patrones de interacción y validación en la Generación Z durante el ciclo 2026. 🧠👾 🔗 https://www.glitchmental.com/2026/02/generacion-z-consumo-digital-2026.html #ConsumerBehavior #GenZ #DigitalSociology #GlitchMentalMX

I just realised something weird: there are ontologies
for biology, medicine, chemistry, even pizza toppings... 🍕

But apparently, no one has built a formal ontology
for general sociology?
So... I built one. Meet OCS! 🧵

Paper: https://www.hlaszny.com/OCS/data/OCS.pdf
Ontology: https://bioportal.bioontology.org/ontologies/OCS/

#DigitalSociology
#ComputationalSocialScience
#SemanticWeb
#Ontology

Old Dominion University is hiring a lecturer in #cybercriminology, #cyberlaw, or #digitalsociology.

If interested, contact me at [email protected] for more information.

You can also read the full ad here: https://drive.google.com/file/d/1s8NDO1ouhQ78JcQvuI2yclMzL_fIsf6b/view?usp=sharing

Old Dominion University is hiring a lecturer in #cybercriminology, #cyberlaw, or #digitalsociology.

If interested, contact me at [email protected] for more information.

You can also read the full ad here: https://drive.google.com/file/d/1s8NDO1ouhQ78JcQvuI2yclMzL_fIsf6b/view?usp=sharing

"The study maps the trajectory of misinformation across four phases—introduction, acceleration, saturation, and stabilization—and classifies adopters into distinct categories reflective of their engagement with false content. This framework offers a nuanced understanding of how misinformation diffuses within both social and algorithmically mediated networks. This study builds on diffusion models by including how emotions and platform algorithms drive misinformation, helping us better understand how it spreads in today’s digital world. The findings yield actionable implications for policymakers, platform designers, and educators seeking to curb the spread of false information."

#misinformation
#disinformation
#DigitalSociology

https://link.springer.com/article/10.1007/s00146-025-02575-5

Cascading falsehoods: mapping the diffusion of misinformation in algorithmic environments - AI & SOCIETY

In today’s AI-driven landscape, misinformation is not just a nuisance—it is reshaping how people understand the world, influencing conversations across social platforms and public life. This study draws on Rogers’ Diffusion of Innovation Theory to examine the dissemination of misinformation through the lens of adopter categories, diffusion attributes, and the classic diffusion curve. It draws from both human psychology and algorithmic logic to uncover why certain falsehoods catch on—especially when they align with what people already believe, stir strong emotions, or get boosted by platform algorithms. The study maps the trajectory of misinformation across four phases—introduction, acceleration, saturation, and stabilization—and classifies adopters into distinct categories reflective of their engagement with false content. This framework offers a nuanced understanding of how misinformation diffuses within both social and algorithmically mediated networks. This study builds on diffusion models by including how emotions and platform algorithms drive misinformation, helping us better understand how it spreads in today’s digital world. The findings yield actionable implications for policymakers, platform designers, and educators seeking to curb the spread of false information.

SpringerLink

I am the current owner of the domain sociologists.digital. It currently hosts a web presence for a defunct Slack-based community of sociologists studying digital things that had a thousand active members from around the world before falling victim to the enshittification of Slack.

I will not pay to renew the domain again unless somebody can think of a good use for it. Anyone?

#sociology #digitalsociology @sociology @soziologie @academicchatter