In this episode, Daniel speaks with Renée DiResta about her work tracking narratives online. They discuss:
The different strains of false information
Her work at the Stanford Internet Observatory
How the same narrative can be used by multiple sides
The origin of the Bill Gates conspiracies
Mapping campaigns to actor strategies
What she recommends others do who are interested in her field
Other topics around disinformation, conspiracy, and narrative tracking

Renée DiResta is the technical research manager at Stanford Internet Observatory, a cross-disciplinary program of research, teaching and policy engagement for the study of abuse in current information technologies. Renee investigates the spread of malicious narratives across social networks, and assists policymakers in devising responses to the problem.

 

 

 

 

 

 

 

In this episode, Daniel speaks with Ren&eacute;e DiResta about her work tracking narratives online. They discuss:
<ul>
<li>The different strains of false information</li>
<li>Her work at the Stanford Internet Observatory</li>
<li>How the same narrative can be used by multiple sides</li>
<li>The origin of the Bill Gates conspiracies</li>
<li>Mapping campaigns to actor strategies</li>
<li>What she recommends others do who are interested in her field</li>
<li>Other&nbsp;topics around disinformation, conspiracy, and narrative tracking</li>
</ul>
Ren&eacute;e DiResta is the technical research manager at&nbsp;<a href="https://cyber.fsi.stanford.edu/io/content/io-landing-page-2" data-cke-saved-href="https://cyber.fsi.stanford.edu/io/content/io-landing-page-2">Stanford Internet Observatory</a>, a cross-disciplinary program of research, teaching and policy engagement for the study of abuse in current information technologies. Renee investigates the spread of malicious narratives across social networks, and assists policymakers in devising responses to the problem.
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Unsupervised Learning is a Security, AI, and Meaning-focused podcast that looks at how best to thrive as humans in a post-AI world. It combines original ideas, analysis, and mental models to bring not just the news, but why it matters and how to respond.

Unsupervised Learning is a Security, AI, and Meaning-focused podcast that looks at how best to thrive as humans in a post-AI world. It combines original ideas, analysis, and mental models to bring not just the news, but why it matters and how to respond.

Exploring the fascinating intersection of security, technology, and humans.

Unsupervised Learning

In this episode, Daniel speaks with Renée DiResta about her work tracking narratives online. They discuss:  The different strains of false information Her work at the Stanford Internet Observatory How the same narrative can be used by multiple sides The origin of the Bill Gates conspiracies Mapping campaigns to actor strategies What she recommends others do who are interested in her field Other topics around disinformation, conspiracy, and narrative tracking Renée DiResta is the technical research manager at Stanford Internet Observatory, a cross-disciplinary program of research, teaching and policy engagement for the study of abuse in current information technologies. Renee investigates the spread of malicious narratives across social networks, and assists policymakers in devising responses to the problem.

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