Fact check

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  Splash screen

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  Log in Screen

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  Searching for a tweet

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  Tweet analysis

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  Empty state screen

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  Articles screen

Inspiration

Tweets impact lives thus I'm always careful about what I tweet and what I consume on Twitter. Conversations with my friends proved one thing; none of us own teleivision sets. In our parts of the world where we have particular incidents happening at particular times, it's difficult to filter between what is accurate and what isn't thus we set out to build fact check because we believe the tools and apps like this could help go a long way by verifying the validity of information before anyone consumes this information

What it does

Users copy a tweet link and paste in fact check after logging in When pasted the fact check service, performs a web crawl to check against relevant sources such as BBC and CNN If the keywords in a tweet match a number of relevant sources, this is calculated and an accuracy level is estimated The data is then rendered to the mobile app with the relevant sources that this was derived from

The second use case is having a Twitter bot. Users can't at this bot and the service runs to check the accuracy of the tweet and gives the users the results on Twitter

How we built it

Challenges we ran into

Figuring out the logic of the accuracy Limiting the scope to avoid scope creep

Accomplishments that we're proud of

Exploring fact-checking

What we learned

What's next for Fact check

Geolocation specific facts Increase the scope of checks as the current scope revolves around news Better validation models Integrate into Twitter as a service such that users can fact-check directly from Twitter

Built With

• angular.js
• django
• python
• serp
• sqlite