Ground Truth news-framing extension
Browser extension shown on X that classifies a news article's framing, type, topic and loaded language with Jev.
This summary is based on how curated lists describe the project; its README was not available to review.
Overview
Ground Truth is a browser extension shared in a social media post. According to the list summary, it classifies a news article's framing, type and topic and flags loaded language using Jev.
It is an example of applying typed decisions to media literacy: several narrow questions about one article, answered quickly enough to show inline while reading. No source or README was available, so the label sets and implementation are unknown.
What the decision model decides
| Type | Question | Answers |
|---|---|---|
| Choice | How is this article framed?(inferred) | — |
| Choice | What type and topic is this article?(inferred) | — |
| Yes / no | Does this passage use loaded language?(inferred) | yes · no |
How it works
- Open a news article
- Extension sends text to Jev with typed questions
- Display framing, type, topic and loaded-language flags
Strengths
- Quick media-literacy annotations
- Several narrow judgments per article shown inline
Caveats
- List-only; no source reviewed
At a glance
- Type
- Discussion
- Status
- discussion
- Runtime
- browser extension
Use cases and integrations
How curated lists describe it
Browser extension that classifies an article's framing, type, topic, and loaded language with Jev.
hellogumbo/awesome-jev
Frequently asked questions
What does it classify?
An article's framing, type, topic and loaded language.
Is it available to install?
Unknown; only a social post is linked.
Which model?
Jev, per the listing.
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