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Mapping the New Disinformation Landscape

  • Writer: TITAN
    TITAN
  • 17 hours ago
  • 2 min read

Disinformation isn’t new, but its speed, reach, and sophistication have exploded in the age of social media and AI. The open-access paper, Mapping Automatic Social Media Information Disorder: The Role of Bots and AI in Spreading Misleading Information in Society (PLOS ONE, 2024), by Andrea Tomassi, Andrea Falegnami, and Elpidio Romano, offers one of the clearest maps yet of how this phenomenon works, the disinformation landscape, and what we can do about it.


Photo of the paper on a marble countertop next to a cup of black coffee, and a green plant.

Why this paper stands out

Rather than focusing on isolated fake news stories, the authors take a system-level view of information disorder, exploring how misinformation, disinformation, and malinformation flow across platforms and topics, and how AI and bots fuel (and can also fight) these dynamics.

By analyzing patterns across social networks, the paper highlights:


  • How automated accounts amplify false narratives and distort public discourse.

  • How different platforms create unique “disinformation ecologies.”

  • How AI technologies, while part of the problem, can also become tools for detection, transparency, and literacy.


It’s a fascinating mix of data science, social theory, and digital ethics, accessible yet rigorous.


What makes it relevant now

If you’re working on AI governance, digital literacy, or trust frameworks, this is essential reading. The paper connects technical mechanisms (like NLP and network analysis) with human factors (like psychology, attention, and belief). It reminds us that no algorithmic fix will work without critical thinking, education, and transparency.


At a time when society is wrestling with deepfakes, echo chambers, and AI-generated content, Tomassi and colleagues show that understanding the interplay between humans, bots, and platforms is the first step toward building resilience.


Key disinformation landscape takeaway

Disinformation is not just a content problem - it’s an ecosystem problem. Combating it requires both smarter machines and wiser humans.

Why you should read it

Because this isn’t just another “AI and fake news” article, it’s a blueprint for how to think about information disorder as a system, and how to act on it collaboratively.


Take a few minutes to read the paper. It's open access, insightful, and directly relevant to how we understand truth in the algorithmic age.


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TITAN has received funding from the EU Horizon Europe research and innovation programme under grant agreement No.101070658, and by UK Research and innovation under the UK governments Horizon funding guarantee grant numbers 10040483 and 10055990.

 

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