1
Analyses
95%
Avg Score
1
High Credible

LLM Credibility Investigation

90
Baseline LLM Score (0-100)
High credibility as a tool for media literacy; @Ground_app demonstrates reliability through data-driven analysis of news ecosystems without producing original content prone to errors. Its …

Assessment

High credibility as a tool for media literacy; @Ground_app demonstrates reliability through data-driven analysis of news ecosystems without producing original content prone to errors. Its commitment to balance and user empowerment, evidenced by consistent engagement and lack of scandals, positions it as a trustworthy resource in an era of polarized media, though users should verify its bias classifications independently.

Track Record

Strong historical accuracy with no documented fact-check failures or corrections; focuses on verifiable data from news sources rather than original reporting. No controversies found; praised for promoting transparency in media consumption, though some users critique its bias ratings methodology as subjective. Engaged in positive initiatives like 'Shazam for News' for story comparisons since 2020.

Note: This is a baseline assessment from initial LLM research. Actual credibility score (95%) is based on 1 fact-checked analysis.

Bias Indicators (2)

Emphasizes political neutrality by highlighting blind spots on both left and right
Occasional focus on underreported stories that may align with contrarian narratives
Emphasizes political neutrality by highlighting blind spots on both left and right
Occasional focus on underreported stories that may align with contrarian narratives
Note: Bias indicators are identified through LLM analysis of the author's content patterns and may not reflect all perspectives.

Background & Details

Ground News, operating under the @Ground_app Twitter handle, is a media monitoring platform founded to combat misinformation by providing bias ratings, coverage comparisons, and blind spot analysis across news sources. …
Ground News, operating under the @Ground_app Twitter handle, is a media monitoring platform founded to combat misinformation by providing bias ratings, coverage comparisons, and blind spot analysis across news sources. Launched around 2020 based on early posts, it helps users maintain a balanced news diet by cross-referencing stories from left, center, and right-leaning outlets. Current status: Active as of 2025, with recent activities including polls on trusted news sources (e.g., voting @reason as most trusted in 2025), highlighting coverage blind spots in stories like Epstein lawsuits and U.S. student identity surveys, and promoting tools like Mediaopoly for visualizing media ownership on Twitter.

Areas of Expertise (3)

Media Bias Detection News Coverage Analysis Misinformation Countering Tools
Media Bias Detection
News Coverage Analysis
Misinformation Countering Tools
Note: Expertise areas are identified through LLM analysis of the author's content and public profile.
Credibility Breakdown

Track Record Distribution

High Credible (70%+) 1
Medium (40-69%) 0
Low (<40%) 0
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TruthSignal Algorithm v4.0: Score based on 1 analysis using Provocative Analysis Enhancement. Learn more →