Info Sleuth
Find something weird on the internet? Let's figure it out.>
Add a paragraph of text have it analyzed from an information literacy context. This helps to de-sensationalize the text and provide queries to help research the topics further. Something like a librarian who helps you understand the piece of content that you stumbled across.
Try a tweet, screenshot, long reddit post, news article, or whatever.
Image Examples:
- Meme - Biden
- GenAI - Dinosaurs eating donuts
- Photo - Hamas poster around town
- Instagram - random screenshot
- Twitter - Elon tweet screenshot
Text Examples:
- Reddit - Orca yacht comment
- Twitter - Bozeman airport trump
- Twitter - Japan covid nanobots
- Twitter - Democratic convention weird tweet
- Research paper - Attention is all you need paper abstract
- News - Method Valley news headline
- News - Quinalt old growth forest
- Legal - Pickup truck flagging law
This originally started as a project to investigate how users could trust LLM generated text. Quickly it became apparent that the real need is to be able to make sense of *any* content, machine-generated or human-generated. We can't expect a tool to have all of the answers for us, but perhaps in this case it can help us navigate to firmer ground.