INFO I300 (Spring 2024) / Misinformation & Polarization
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INFO I300 (Spring 2024) \ TuTh11:30 | Group 6 | Misinformation | Sanika

Misinformation & Polarization

Within information explosion, we are often surrounded by information. However, how much of it is true, and how much is misunderstood or distorted? Misinformation, not only misleads our judgment, but also triggers polarization of views on social media and disrupts social harmony. Therefore, it is especially important to eliminate misinformation. Our mission is to help the public eliminate misinformation through AI. We have developed an AI-empowered information verification browser plugin that helps you verify the truthfulness of information in real time. Whether it's news, essays, or social media, information can be verified through our plugin.

Project People

misinformation visualization
#Academic #StudentLife #Web

Our Project

We have developed an AI empowered information verification browser plugin. No matter who you are, you can use it to protect yourself from misinformation.

Our plugin is open source, which means anyone can view and modify its code, ensuring its transparency and accountability. Our AI is forced to provide reasoning process, helping you to identify and avoid misinformation. In addition, we have designed a non-intrusive easy-to-use interactive interface that makes it easy for anyone to use the plugin.

We believe that it is only through the provision of accurate and reliable information that we can build a more just and understanding society.

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Big Points

  • Target audience: for a wide range of user groups, with no specific audience limitations.
  • Market Positioning: Designed as an information verification tool for content on browsers.
  • Platform: Cross-platform plugin, but best experienced on pc
  • Core Idea: Reduce polarization of opinions on social media by eliminating misinformation.
  • Project feasures:
  • 1. Open source: ensures transparency and fairness of the product, encourages community participation and improvement.
  • 2. Accountable AI: utilizes artificial intelligence to efficiently identify and verify suspicious information with reasoning process.
  • 3. Interactive interface: non-intrusive, easy-to-operate interface that requires no specialized skills to use.

Team Members Email the Team

Misinformation & Polarization has 4 members.

Profile photo for team member.

Philip Culbertson

Philip Culbertson is a Informatics Major and Business minor from the Bay Area, California. He looks to pursue Technology sales post graduation preferably back in California. His hobbies include going to the beach, spending time with friends, and traveling to new places.

Profile photo for team member.

Owen Ott

Owen is a student at Indiana University Bloomington studying Informatics with a focus in Business. He is passionate about using his technical skills to make an impact within business.

Profile photo for team member.

Xiaopeng Ren

IUB student | Informatics Undergraduate | Cross-disciplinary background | Host of online book club

Profile photo for team member.

Swayam Shah

Swayam Shah specializes in data-driven business development, integrating ERP and CRM systems to enhance operational efficiency. With a strong academic background in Business Informatics and financial literacy with teaching experience in web technologies, he combines technical expertise and strategic insight to drive growth in the various industry.

Instructors & Associate Instructors