Government-Sponsored Disinformation: Combating the Trolls through Democratic Principles



Democracy’s Mighty Arsenal

To counter disinformation, let's extend the democratic principles of Wikipedia across platforms. We'll crowdsource cost-benefit analysis and conflict resolution, turning anger into constructive dialogue.

Fighting external trolls will also defeat our internal trolls and help us break Free from Bias

The following approach that links conclusion strength to evidence strength automagically destroys my-side bias and confirmation bias because it removes arguments from feelings and uses evidence to "weigh" conclusions:

Here's how:

1.       Isolating Each Belief: Evaluate each belief on its unique page, like Wikipedia, focusing on the evidence for and against it. This will keep the topic from changing.

2.       Linking Related Beliefs: Enhance collective understanding by analyzing interconnections between ideas and gauging their strengths and weaknesses. Putting similar ways of saying the same thing will allow us to reduce redundancy and truly have one page for each belief, not matter what language, dialect, or style is used to express it. We'll group similar expressions of ideas, assigning scores to determine their equivalency and identifying the "best" way to articulate them.

3.       Brainstorming Reasons: Participants are encouraged to explore reasons for both agreement and disagreement, fostering a well-rounded understanding of the issues.

4.       Pro/Con Analysis: Every conspiracy theory undergoes rigorous evaluation through a pro/con analysis, where the strength of supporting and opposing evidence is meticulously weighed, and bad arguments are not deleted, just moved to the bottom of the lists, so conspiracy theorist can see all the valid counterarguments, keeping their arguments and ultimately their belief from gaining traction. In a world where bad arguments don't help and can even hurt their cause, they will eventually run out of steam.

5.       Evidence Linking: The strength of each belief is tied directly to the robustness of the evidence, promoting transparency and honesty in our assessments.

6.       Identifying Logical Fallacies: We scrutinize information for logical fallacies and provide verification scores, grounding our plans in evidence.

7.       We will separate arguments by their type, to keep them separated (e.g., arguments about logical fallacies, verification or replication, importance, and linkage) 

The Path to a Stronger Future

With this robust approach to information evaluation, we pave the way for a brighter tomorrow. Collaboration becomes the driving force behind an enlightened society where democratic participation thrives.

So, let's steer our course with clarity, reason, and precision. We can neutralize disinformation, triumph over biased thinking, and lay the foundation for a new era of logical decision-making and societal unity. Let's forge ahead with a specific and actionable plan, embracing the power of collective intelligence to safeguard our democracy.


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