Future Projects

Coming soon!

We are almost ready to launch a demonstration news ecosystem that will be truthful, believable, impactful, beneficial, and widely multilingual — hence immediately scalable worldwide. We plan to take this experiment live with a small group of users by the end of May, 2024.

This effort is based on the results of many experiments on methods of enabling people to overcome biases and become more understanding of those with whom they may disagree. The weakness of these experiments has been they neglected to track how long such effects might last. [1] Our innovation is a scalable news/social media ecosystem that will continually improve and reinforce these effects over time.

We are including forecasting linked to each of our news stories to give the reader confidence in that story’s degree of truthfulness and likely impacts of reported events. The problem this solves is that today, the reader must accept the authority of their preferred news media and fact checking sources. At present, news readers must accept the authority of their preferred news media either in a vacuum or by fact-checking sources themselves.  Clearly, the quality of these media outlets are highly variable, with influencers shouting “fake news” back and forth. See, for example, the findings under the heading “Fake News and Atomization” here. However, our platform will change that with forecasting. 

If the results of our forecasting are hard to argue with, and its topics chosen to enable forecasts that usually come true, the reader becomes more confident in the news they’re reading. This in turn means that we must carefully choose the topics on which we forecast so that they are scorable in a way that is clear and noncontroversial. This approach has been successful in many experiments, including those detailed below.

The U.S National Weather Service is an example of how a track record of accurate forecasts leads to more trust. Acting on its forecasts saves lives. Increasingly people heed its warnings, which in cases of flash floods and tornadoes will interrupt live broadcasts and alert people’s smart phones. Another example: forecasters at INFER gave increasingly urgent, public warnings of the impending full-scale Russian invasion of February 24, 2022. BestWorld’s chief scientist Dawna Coutant was one of INFER’s earliest and most vocal in her warnings.

 
Currently our team is evaluating the possibility of Chad invading Sudan, using local Arabic-only news sources to learn what those on the ground are seeing. We also expect to pose many questions relevant to the increasingly dire humanitarian situation in both Sudan and Chad, the civil war in Sudan, and activities of Russia’s Africa Corps in both nations.

Author