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What happens when the business model of the internet rewards attention at any cost - and AI makes it even easier to centralise power, traffic, and revenue?
In this episode of the Data Malarkey Podcast, host and Master Data Storyteller, Sam Knowles, is joined by Harriet Kingaby, Co-Chair of the Conscious Advertising Network (CAN). Harriet explores how advertising incentives shape the information ecosystem, why "information integrity" matters for democracy and business, and what conscious advertisers should be asking before they partner with platforms.
This is a conversation about digital trust, algorithmic discrimination, recommendation algorithms, AI search summaries, the "no-click internet", data privacy, and why transparency in advertising is foundational if we want healthier online systems.
Key topics
Conscious advertising and advertising ethics
Information integrity and transparent advertising
AI in advertising and AI-driven search summaries
Recommendation algorithms and algorithmic discrimination
Online harms, self-harm content, and monetisation incentives
The "no-click internet" and the death of the open web
UN Global Principles on Information Integrity
Facial recognition and surveillance risks in advertising and the home
Take the Data Storytelling Scorecard: https://data-storytelling.scoreapp.com
What you'll learn
Why Harriet thinks the incentives behind online platforms can produce unhealthy outcomes
How CAN works as a "broad church" bringing together industry and civil society
What "information integrity" means in practice - and why advertising transparency is central
How discrimination can show up through recommendation systems and reach
Why the "no-click internet" could reshape publishing, revenue, and independent content
The kinds of questions advertisers should ask when partnering with platforms and AI tools
A striking example of data misuse: facial recognition embedded in TV sets for ad targeting
External resources
LinkedIn: Harriet Kingaby - https://www.linkedin.com/in/hkingaby/
Conscious Advertising Network - https://www.consciousadnetwork.com
CAN's Guiding Principles - https://www.consciousadnetwork.com/the-guidingprincipleslandingpage/
UN Global Principles on Information Integrity https://www.un.org/en/information-integrity/global-principles
The EU Digital Services Act - https://digital-strategy.ec.europa.eu/en/policies/digital-services-act
The Molly Rose Foundation report - https://mollyrosefoundation.org/
Cambridge Analytica scandal - https://www.bbc.co.uk/news/topics/c81zyn0888lt
By Sam KnowlesWhat happens when the business model of the internet rewards attention at any cost - and AI makes it even easier to centralise power, traffic, and revenue?
In this episode of the Data Malarkey Podcast, host and Master Data Storyteller, Sam Knowles, is joined by Harriet Kingaby, Co-Chair of the Conscious Advertising Network (CAN). Harriet explores how advertising incentives shape the information ecosystem, why "information integrity" matters for democracy and business, and what conscious advertisers should be asking before they partner with platforms.
This is a conversation about digital trust, algorithmic discrimination, recommendation algorithms, AI search summaries, the "no-click internet", data privacy, and why transparency in advertising is foundational if we want healthier online systems.
Key topics
Conscious advertising and advertising ethics
Information integrity and transparent advertising
AI in advertising and AI-driven search summaries
Recommendation algorithms and algorithmic discrimination
Online harms, self-harm content, and monetisation incentives
The "no-click internet" and the death of the open web
UN Global Principles on Information Integrity
Facial recognition and surveillance risks in advertising and the home
Take the Data Storytelling Scorecard: https://data-storytelling.scoreapp.com
What you'll learn
Why Harriet thinks the incentives behind online platforms can produce unhealthy outcomes
How CAN works as a "broad church" bringing together industry and civil society
What "information integrity" means in practice - and why advertising transparency is central
How discrimination can show up through recommendation systems and reach
Why the "no-click internet" could reshape publishing, revenue, and independent content
The kinds of questions advertisers should ask when partnering with platforms and AI tools
A striking example of data misuse: facial recognition embedded in TV sets for ad targeting
External resources
LinkedIn: Harriet Kingaby - https://www.linkedin.com/in/hkingaby/
Conscious Advertising Network - https://www.consciousadnetwork.com
CAN's Guiding Principles - https://www.consciousadnetwork.com/the-guidingprincipleslandingpage/
UN Global Principles on Information Integrity https://www.un.org/en/information-integrity/global-principles
The EU Digital Services Act - https://digital-strategy.ec.europa.eu/en/policies/digital-services-act
The Molly Rose Foundation report - https://mollyrosefoundation.org/
Cambridge Analytica scandal - https://www.bbc.co.uk/news/topics/c81zyn0888lt