Sangha05
commented
4 years ago Hi @sngo103, I have a similar idea. I plan to train a machine learning algorithm after we have labeled data (which is obtained via crowdsourcing) to check for media bias or misinformation of the article/source. By doing this, new articles can be automatically tagged as "FACT" or "HOAX" when there are not enough upvotes or downvotes that post or they're equal (Keeping in mind the public can also be misinformed). Also, it will help create a media tracker in case the website has more sources added other than CDC in the future. Let us connect if you're interested in adding the ML component to your product. https://mozillabuilders.slack.com/archives/C010KM8KTMX/p1586015669352500 www.linkedin.com/in/sanghamesh-vastrad
maximumJS
MarquiseRosier
MCharming98
abhimanyu891998
Project Name SEQUITR: COVID19 information hub and crowd-sourced combat against misinformation.
What you're looking for I am looking for a full-stack developer and/or someone who has experience creating React web applications. Basically, any combination that will end up with a full-stack, i.e. 1 frontend dev + 1 backend dev = 1 fullstack dev. :) It would be helpful if they are passionate about my idea, but if not, hopefully I can convince them.
Short Project Description tl;dr: crowd-sourced forum & downvoting hoaxes, live updates from CDC,; similar to Quora, but better and specifically for COVID19
The basis of Sequitr is to create a single place for establishing truthful information from trusted institutions and the power of crowdsourcing. One of the biggest problems during the COVID19 pandemic is misinformation. Misleading information about fake “cures” spread like wildfire and creates a false sense of security that leads to reckless behavior. Currently, people are looking to the CDC and the news for answers to their questions, but the CDC can’t answer all their questions and the news can be biased or inaccurate. People are forced to turn to social media to address their fears. Sequitr provides a solution to these problems by creating a place where users can find the most up to date information and ask questions about the pandemic. The three main features of Sequitr are a CDC news feed/resource hub, forum for questions, and polling for identifying hoaxes. The forum and the polling will be done through crowdsourcing. The forum will allow users to post questions and answer questions. This feature is similar to Quora’s product, but Quora is too general and expansive, making it a second thought when faced with COVID19 questions. Sequitr provides a place solely for questions relating to the pandemic. Polling allows users to post images and descriptions of pieces of COVID19 information that seem too good to be true and others can vote for “FACT” or “HOAX” in addition to commenting with an explanation. The MVP for 8 weeks will be a web app with a basic version of these three features and the user account system to facilitate. It will have a feed linked to updates from the CDC about COVID19, possibly from scraping the CDC site or their newsletters. The forum will allow users to post questions and answers. The polling will allow users to post images/descriptions, vote, and comment. These two features will likely be made with Web Sockets. In the future, I hope to create user labels for trusted users, such as infectious disease experts, doctors, and nurses, who would have more weight with their votes and lend credibility, connect volunteers to those in need, strengthen the user security system, and make Sequitr portable enough to be used easily in other countries. The COVID19 crisis has created a vortex of information, often repeated several times throughout the day and people have no easy way of knowing what to trust and how to deal with all the information. Sequitr will be the place they turn to and provide some certainty in these uncertain times.
Team Bios Samantha Ngo - Samantha is currently a computer science undergraduate sophomore at Hunter College in NYC. In the past, Samantha interned as a web developer building a tournament platform website, as a blockchain researcher building a Python price oracle that handles computations on large sets of data, and as a software developer building the foundation of an internal Python mailparser that collects contact information for relationship management. She has had experience working with Python, C++, Javascript(React, Node, MongoDB), Java, Figma, and Git, as well as some lesser-known languages. She is passionate about software engineering, but is looking into going into product design, where she can turn her ideas into a reality. This summer, she is looking forward to her software engineering internship at Paypal.
Why Work With Us Because we're passionate about fighting misinformation in the COVID19 Pandemic.