TRIBE V2 NEWS DECODER Neural Reaction Analysis · Meta FAIR TRIBE v2 · Schaefer 2018 Atlas
NOT CONNECTED
Open-Source · No LLM Interpretation · Rule-Based Neuroscience
Decode the neural target
of any piece of news.
Feed any text into Meta FAIR's TRIBE v2, a brain encoding model trained on 500+ hours of real fMRI data from 700+ subjects. TRIBE predicts which cortical circuits would activate when someone reads your text, mapped down to the second and the brain region.
The decoder maps those activations onto seven functional networks and scores six emotional influence profiles using rule-based neuroscience: identifying whether content targets fear circuits, social identity, urgency, reward, or analytical bypass. No LLM generates interpretations. Every score cites a published paper.
Meta FAIR TRIBE v2 Schaefer 2018 · 200 parcels Yeo 7-network atlas 20,484 cortical vertices 700+ fMRI subjects
CONTEXTUAL CALIBRATION
Personalize your results
TRIBE's neural predictions use population-average fMRI responses from 700+ subjects. These questions apply published individual-difference adjustments to the downstream scoring weights — your profile re-weights thresholds, it does not re-run the model. Results remain directional estimates, not clinical measurements.
DECISION-MAKING STYLE
When forming opinions on new information, how do you typically approach it?
Trust instincts first Research before deciding
Cacioppo & Petty (1982) Need for Cognition · Haddock et al. (2008) — high NFC predicts stronger dorsolateral PFC engagement during persuasive message processing
EMOTIONAL REACTIVITY
When you encounter alarming or threatening content, how strongly does it tend to affect you?
Rarely affects me Genuinely affects me
Etkin & Wager (2007) meta-analysis — trait anxiety amplifies amygdala and anterior insula activation to threat stimuli (effect size d ≈ 0.6) · Bishop et al. (2007) prefrontal regulation of threat
MEDIA CONSUMPTION
How much political news and opinion content do you consume on a regular basis?
Rarely follow news Heavy daily consumer
Rolls (2015) Limbic Systems for Emotion — repeated genre exposure attenuates salience network responses via neural adaptation · Prior (2007) habituated consumers show reduced threat reactivity
ANALYTICAL TRAINING
Do you have formal background in critical thinking, logic, rhetoric, media literacy, or research methods?
No formal training Extensive formal training
van der Linden et al. (2017) inoculation theory · Roozenbeek et al. (2020) — analytical training produces measurable PFC recruitment when evaluating emotionally charged content
AGE RANGE
Neural reactivity shifts measurably across adult decades — amygdala response peaks early and attenuates over time
Mather & Carstensen (2005) — positivity effect: older adults show attenuated Limbic and enhanced OFC (reward) engagement · Williams et al. (2006) amygdala attenuation across adult decades
TOPIC FAMILIARITY
How familiar are you generally with the type of content you analyze here? Prior expertise attenuates novelty-driven salience responses.
Rolls (2015) — habituation reduces salience network responses to familiar content · inoculation research (Roozenbeek et al. 2020) shows expert familiarity reduces analytical bypass scores
Adjustments apply to scoring weights only — TRIBE's neural predictions are unchanged. Population-average mode remains available at any time via the toggle above results.
PERSONALIZE SCORES
Your age and expertise change how susceptible you are to each influence type. Calibrate your results.