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Episode 1 — The Algorithmic Society: What Meta Really Built

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Manage episode 519116588 series 3700570
Content provided by Yuliia Harkusha. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Yuliia Harkusha or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

This opening episode explores one of the defining questions of our time: how social platforms quietly shifted from tools of connection to engines of cultural engineering. Through an AI-generated prototype of Mark Zuckerberg — built solely on public data, interviews, and speeches — we examine how engagement algorithms evolved into invisible architects shaping identity, behaviour, and collective emotion.

This is not a recreation of a real interview. It is an analytical experiment — a way to interrogate the systems that shaped a generation by staging the conversation we were never able to have.

Drawing from my work at the intersection of AI, communication, and digital culture, the episode investigates how Meta’s design choices influenced everything from emotional grammar to the economics of attention. We discuss the transition from connection to curation, the rise of optimisation as a cultural value, the unintended social costs of algorithmic design, and the tension between personal autonomy and machine-driven relevance.

At its core, this episode asks a simple but urgent question:

What did Meta really build — a social network, or the operating system of modern identity?

By blending narrative storytelling, technical insight, and critical reflection, this series aims to make complex algorithmic systems understandable to a global audience — and to challenge the assumptions that have quietly shaped our digital lives for more than a decade.

Keywords: Artificial Intelligence, AI, AI Ethics, AI Governance, AI Safety, Responsible AI, Ethical AI, Machine Learning, Deep Learning, Neural Networks, Generative AI, Large Language Models, LLMs, Automation, Human-AI Interaction, Human Agency, Algorithmic Systems, Algorithmic Society, Algorithmic Culture, Recommender Systems, Digital Transformation, Digital Culture, Digital Identity, Digital Behaviour, Attention Economy, Emotion Economy, Behavioural Design, Tech Philosophy, AI Psychology, AI Policy, AI Regulation, AI Innovation, AI Research, Predictive Algorithms, AI Bias, Cultural Impact of AI, AI in Media, AI Storytelling, AI Communication, Future of AI, Yuliia Harkusha, Yulia Harkusha, Julia Harkusha, Yuliya Harkusha, Yuliia Garkusha, Yulia Garkusha, Julia Garkusha, Yuliia Kharkusha, Yulia Kharkusha, Yuliia Harkusha AI, Yuliia Harkusha Podcast, Harkusha Yuliia, Harkusha Julia, Юлия Гаркуша, Юлія Гаркуша, Юлия Харкуша, Юля Гаркуша, Юля Харкуша, Юлія Харкуша, Yuliia AI Expert, Yuliia Digital Strategist, Yuliia Global Talent.

⚠️ This podcast uses AI-generated content for creative and educational purposes only. All AI voices are based on publicly available materials and do not represent real individuals.

  continue reading

6 episodes

Artwork
iconShare
 
Manage episode 519116588 series 3700570
Content provided by Yuliia Harkusha. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Yuliia Harkusha or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

This opening episode explores one of the defining questions of our time: how social platforms quietly shifted from tools of connection to engines of cultural engineering. Through an AI-generated prototype of Mark Zuckerberg — built solely on public data, interviews, and speeches — we examine how engagement algorithms evolved into invisible architects shaping identity, behaviour, and collective emotion.

This is not a recreation of a real interview. It is an analytical experiment — a way to interrogate the systems that shaped a generation by staging the conversation we were never able to have.

Drawing from my work at the intersection of AI, communication, and digital culture, the episode investigates how Meta’s design choices influenced everything from emotional grammar to the economics of attention. We discuss the transition from connection to curation, the rise of optimisation as a cultural value, the unintended social costs of algorithmic design, and the tension between personal autonomy and machine-driven relevance.

At its core, this episode asks a simple but urgent question:

What did Meta really build — a social network, or the operating system of modern identity?

By blending narrative storytelling, technical insight, and critical reflection, this series aims to make complex algorithmic systems understandable to a global audience — and to challenge the assumptions that have quietly shaped our digital lives for more than a decade.

Keywords: Artificial Intelligence, AI, AI Ethics, AI Governance, AI Safety, Responsible AI, Ethical AI, Machine Learning, Deep Learning, Neural Networks, Generative AI, Large Language Models, LLMs, Automation, Human-AI Interaction, Human Agency, Algorithmic Systems, Algorithmic Society, Algorithmic Culture, Recommender Systems, Digital Transformation, Digital Culture, Digital Identity, Digital Behaviour, Attention Economy, Emotion Economy, Behavioural Design, Tech Philosophy, AI Psychology, AI Policy, AI Regulation, AI Innovation, AI Research, Predictive Algorithms, AI Bias, Cultural Impact of AI, AI in Media, AI Storytelling, AI Communication, Future of AI, Yuliia Harkusha, Yulia Harkusha, Julia Harkusha, Yuliya Harkusha, Yuliia Garkusha, Yulia Garkusha, Julia Garkusha, Yuliia Kharkusha, Yulia Kharkusha, Yuliia Harkusha AI, Yuliia Harkusha Podcast, Harkusha Yuliia, Harkusha Julia, Юлия Гаркуша, Юлія Гаркуша, Юлия Харкуша, Юля Гаркуша, Юля Харкуша, Юлія Харкуша, Yuliia AI Expert, Yuliia Digital Strategist, Yuliia Global Talent.

⚠️ This podcast uses AI-generated content for creative and educational purposes only. All AI voices are based on publicly available materials and do not represent real individuals.

  continue reading

6 episodes

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