# Network Manipulation

Page: https://stenobird.com/podcast/data-skeptic/network-manipulation
Text version: https://stenobird.com/podcast/data-skeptic/network-manipulation.md
Podcast: [Data Skeptic](https://stenobird.com/podcast/data-skeptic)
Published: 2025-04-30T00:52:00+00:00
Episode link: http://dataskeptic.com/blog/episodes/2025/network-manipulation
Audio file: https://pscrb.fm/rss/p/mgln.ai/e/35/traffic.libsyn.com/secure/dataskeptic/network-manipulation.mp3?dest-id=201630
Processing state: failed
JSON: https://stenobird.com/v1/public/podcasts/data-skeptic/episodes/network-manipulation
Duration seconds: 2458

## Resource

In this episode we talk with Manita Pote, a PhD student at Indiana University Bloomington, specializing in online trust and safety, with a focus on detecting coordinated manipulation campaigns on social media. Key insights include how coordinated reply attacks target influential figures like journalists and politicians, how machine learning models can detect these inauthentic campaigns using structural and behavioral features, and how deletion patterns reveal efforts to evade moderation or manipulate engagement metrics. Follow our guest X/Twitter Google Scholar Papers in focus Coordinated Reply Attacks in Influence Operations: Characterization and Detection ,2025 Manipulating Twitter through Deletions,2022

## Actions

- request_transcript: `POST https://stenobird.com/v1/public/podcasts/data-skeptic/episodes/network-manipulation/transcription-requests` — Idempotently request low-priority transcript generation for this episode.
- read_markdown: `GET https://stenobird.com/podcast/data-skeptic/network-manipulation.md` — Read the agent-friendly Markdown representation of this episode resource.

A page view does not enqueue transcription. Agents should invoke `request_transcript` explicitly when they need this episode processed.

## Transcript

Full transcripts are not published on public pages unless there is a clear rights basis.