Short description

Discourse Mapper — distills large-scale debates and discussions into a prioritized map of the most important conclusions, each supported by relevance-weighted opinions with their source quotes. This allows readers to grasp the informational landscape of major societal, scientific, economic, technological, political, or ethical problems in minutes, not hours.

Before

After

Synthesis engine

Discourse Mapper fills the gap in the current landscape of epistemic tools by offering a way to understand the main cruxes of entire discourse spaces in the shortest time possible.

This is achieved through an argument graph mechanism—each conclusion is supported by multiple opinions, ranked by their relevance.

There is also a 3rd level of the hierarchy—source quotes that explain each opinion and serve as links so readers can delve deeper into any given answer. Unlike other tools that treat all arguments equally, our relevance-weighting mechanism surfaces the most important opinions for each conclusion.

The entire hierarchy of information looks like this:

• most common conclusions (sorted by how many people hold each) — top-level
  • attached opinions (sorted by relevance scores) — 2nd-level
    • attached quotes — 3rd-level

This mechanism allows users to grasp the informational landscape of major societal, scientific, economic, technological, political, or ethical problems in minutes, not hours.

The current mockup is designed for debates centered around a single central question, such as:

• EA Forum debate week — “Would it be better to spend an extra $100 m on animal welfare than on global health?”
• r/ChangeMyView all-time top discussion — “Change my view: Mike Bloomberg's campaign is proof that the ultra wealthy in the US can afford a higher tax rate with no ill effect on them”

In the future, it should also handle less-structured discussions and single-author complex theses.

Consumer grade and built for experts