The podcast is generated by Google Notebool LLM that summarise my blog post “Decoding Disinformation: Automating the Detection of Coordinated Inauthentic Behavior”.
The blog post start from briefly introducing recent report “Visual assessment of Coordinated Inauthentic Behaviour in disinformation campaigns“ by vera.ai EU project and then examines a range of methods for detecting coordinated inauthentic behavior (CIB) in disinformation campaigns. It details various computational tactics used to spread misinformation, including repost, coordinated posting, and hashtag networks, along with coordinated mention, link sharing, and image sharing. The text explores challenges in detection, such as differentiating organic engagement from inauthentic amplification and avoiding false positives. Finally, it emphasizes a shift towards macro-level analysis, focusing on coordinated strategies across networks rather than individual accounts, to improve attribution and combat increasingly sophisticated disinformation campaigns.
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