An AI early warning system to monitor online disinformation, stop violence, and protect elections
Bibliographic Data
| ID | 21428290 |
|---|---|
| Authors | Michael Yankoski (0000-0002-9654-6993), Tim Weninger (0000-0003-3164-2615), Walter J Scheirer (0000-0001-9649-8074, corresponding author), Walter Scheirer |
| Year | 2020 |
| Volume | 76 |
| Issue | 2 |
| Pages | 85-90 |
| Publication date | 2020-03-03 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Bulletin of the Atomic Scientists (JOURNAL) |
| Journal identifiers | ISSN: 0096-3402 • E-ISSN: 1938-3282 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/00963402.2020.1728976 |
| OpenAlex | W3007996372 |
| Language | EN |
| Citations received | 7 |
| References cited | 4 |
We’re developing an AI early warning system to monitor how manipulated content online such as altered photos in memes leads, in some cases, to violent conflict and societal instability. It can also potentially interfere with democratic elections. Look no further than the 2019 Indonesian election to learn how online disinformation can have an unfortunate impact on the real world. Our system may prove useful to journalists, peacekeepers, election monitors, and others who need to understand how manipulated content is spreading online during elections and in other contexts
Computer security · Democracy · Disinformation · Indonesian · Internet privacy · Political science · Politics · Social media · Telecommunications · Terrorism · Warning system · Computer Science · Law · Misinformation and Its Impacts
Pilot study suggests online media literacy programming reduces belief in false news in Indonesia
Meme warfare
A pandemic of bad science
AI for peace
Visual narratives and political instability
Artificial Intelligence and Disinformation
Even I believed it! How is it possible?” The disinformation exam of journalists in the AI age
| Citations per year | 1.17 |
|---|---|
| Citation span | 2020 - 2026 (7) |
| Highly cited | No |