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Agora Galore

Agora Galore


Team info

Bart Goelema

We are looking for team members:

- Coding skills (for web browser and app based applications, knowledge of how to build a database/library, build an application that can read text (including pictures) and interpret it, build a clean and simple GUI) - Journalist/writer or someone that is interested in debating and that can (de)construct arguments. (It would be great if you are also a coder) - Someone that knows about finances and marketing. - Someone with a psychology background that knows how we can best introduce opposing viewpoints to people so that our software is user friendly. (for example, asking the right critical questions that you would even dare to ask (slightly) neurotic people without them freaking out) Our team is allowed to consist out of 6 people in total. In the end I hope to have a team of 3 coders (it would be great if one of them is someone who loves to debate), 1 marketing person and 1 psychology person. I am quite an all-rounder myself and I would like to work on everything so I can keep a good overview so that I can best help us forward. (please contact me for more information if you have any questions) Contact us

The challenge

In our "post-truth" world, information can be overwhelming. "Fake news" or "alternative facts" are phenomena that most of us are familiar with. How does one wade through an ocean of different viewpoints? More importantly, how does one know which viewpoints are trustworthy? If a news article uses a source from a field that you are no expert in, how can you properly assess the validity of the arguments supported by said source?

The solution

An app or web-browser plugin that can be easily installed and will read the news articles. Instead of simply looking at the sources of the article and giving the article a score (such tools already exist), this plugin/software will deconstruct the arguments themselves. As the software scans the article sentence-wise and paragraph-wise, it will mark erroneous arguments (i.e. logical fallacies). If the software finds a claim/statement, it will check the database for conclusions related to that particular (sub)topic and show them on the screen. The software will also show opposing statements (if they exist) and their sources. It also asks critical questions to stimulate critical thinking about certain topics. The database can be seen and edited by everyone (much like Wikipedia), only it will be actively screened by experts from the respective fields.


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