Each day, we face an information overload with claims, facts and figures flowing across screens faster than we can check them. This is fertile ground for inaccurate reports and “fake news” to abound. When presented with seemingly limitless sources and channels of information, it’s hard to know who and what to trust in relation to our health or our governments. Never has the ability to critically assess and communicate information been more important. So, what can universities to do equip students, staff and the wider public with the tools and knowledge they need to understand the complex nature of evidence, invite varied perspectives and seek the truth?
From the COVID-19 pandemic to the war in Ukraine, misinformation is rife worldwide. Many tools have been designed to help people spot misinformation. The problem with most of them is how hard they are to deliver at scale.
But we may have found a solution. In our new study we designed and tested five short videos that “prebunk” viewers, in order to inoculate them from the deceptive and manipulative techniques often used online to mislead people. Our study is the largest of its kind and the first to test this kind of intervention on YouTube. Five million people were shown the videos, of which one million watched them.
A satirical website that claims to offer protesters-for-hire has ignited conspiracy theories among far-right Facebook groups suggesting the current protest actions in the United States are staged…
For bureaucratic reasons, a colleague of mine had to print, sign, scan and send by email a high number of pages. To save trees, ink, time, and to stick it...
Explore our free resource of 100k high-quality faces, each entirely generated by AI. Use them in your projects, mockups, or wherever — all for just a link back to us!
shadows of the baby and eagle are inconsistent with the rest of the scene (yellow lines). video is a composite of a computer-generated baby and eagle added into an otherwise real video
The Debunking Handbook, a guide to debunking misinformation, is now freely available to download. Although there is a great deal of psychological research on misinformation, there's no summary of the literature that offers practical guidelines on the most effective ways of reducing the influence of myths. The Debunking Handbook boils the research down into a short, simple summary, intended as a guide for communicators in all areas (not just climate) who encounter misinformation.
Krithika, Lakshitha, Monica, Priya, and Veena. International Journal of Innovative Research in Information Security, 09 (2):
21-27(May 2023)1. Currency Recognition system using Image Processing. SANDEEP KUMAR CHAUBEY Andrew S. Morgan Kaufmann Publishers, 1995. 2. A Survey on Indian Currency Note Denomination Recognition System. Aruna Manpreet Bagga, Dr.Baljit Singh. 1995. 3. Dr. Baljith Singh, Aruna D H Indian currency note denomination system. 4. Ms. Monali Patil, Prof. Jayant Adhikari Detection of fake currency using digital image processing. 5. Arun Anoop M, Dr K.E. Kannammal Fake currency detection 6. Vidhi Roy and Sushanth Patil Fake Currency detection using image processing. 7. M. Deborah and Soniya Prathap Detection of Fake currency using edge detection. 8. Akash Rana, Avinash Kumar and Shivam Kumar Jha Detection of fake currency using machine learning technique. 9. Mayadevi, A. Gaikwad, Vaijinath, V. Bhosle and Vaibhav Currency note feature extraction. 10. Brinda M Object Detection using Haar-Like Feature Extraction..
C. Kusche. Beck, Susanne/ Kusche, Carsten/ Valerius, Brian: Digitalisierung, Automatisierung, KI und Recht. Festgabe zum 10-jährigen Bestehen der Forschungsstelle RobotRecht. 1. Auflage Nomos., (2020)
S. Ahmed, K. Hinkelmann, and F. Corradini. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering, volume 2350 of CEUR Workshop Proceedings, CEUR-WS.org, (2019)
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