Inspiration

Politicians and accounts with large followers base and interaction should be responsible and stand-by any politically charged statement that they make. Their words are likely to have weight in followers’ mind and how readers process information and events. Politics is important and misalignment between politics and facts (e.g. the choice to vaccinate due to religious belief vs. the science of vaccination) can affect people life for the worse. Social medias are under fired from both sides. If the platform does not establish enough restriction on false information; it will be scrutinized as lack of corporate’s social responsibility. On the other hand, if it imposes too much restriction, it will be scrutinized as restriction on freedom of speech/opinion and information. We hope to help Twitter balance the above with our idea.
If a poster wants to put out a statement, they should be held responsible for claiming it to be an opinion or a fact that they are promoting. Opinions should be under less scrutinization (from Twitter engine) than fact because that’s how people process information. Statements that claim to be fact should be under more scrutinization and be subjected to higher measure of response (removal, hidden from timeline). That’s why posters will be expected (not a requirement) to tag their own statement as opinion or fact (when it comes to politics only). If they don’t add that tag, it’s fair game to any negative measure (removal or hidden until claim is verified) that Twitter takes to limit the spread of misinformation

What it does

Ask verified accounts and politician accounts to take the extra step to stand-by their statement and avoid spreading opinions and misleading it as information and fact. Before making a post, users are asked to voluntarily tag their own tweet as a political opinion or note. If not and the tweet is identified to be under politics topic, it will be under stricter scrutiny. If user self-tags, tweet will appear with a flag letting followers and readers know that the statement is an opinion

How we built it

We use TwitterAPI to get the data we worked with and demonstrate an online pull and analysis. We use AdobeXD to build the front-end prototype. For text-based demo, we use python, sklearn and NLTK (for filtering model)

Challenges we ran into

Communications; authenticate Twitter app key

Accomplishments that we're proud of

We showed up and we showed out. We committed and we stand-by our project and idea. We pushed through hard questions to make sure out project adequately address the problem we working on.

What we learned

Better communicate and work remotely. Share and discuss ideas and design. How much we can build with TwitterAPI and with Twitter

What's next for Fact Checker

AI/ML featurezzzz

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