SPIN Processed
Source Sequoia AI via Google News news.google.com Analyst
March 5, 2021 metadata artifact investor_signal

Careers at Attentive Mobile - Sequoia Capital

The entry offers zero narrative framing because it contains no narrative — only a title string with non-informative repetition and whitespace.

View original on news.google.com

Overview

A job listing for Attentive Mobile appears in a Google News feed attributed to 'Sequoia AI' and labeled as an analyst source, with no substantive reporting on company operations, technology, or market position.

TL;DR

  • No article content beyond a headline and repeated phrase 'Careers at Attentive Mobile    Sequoia Capital'
  • No descriptive text, data, quotes, context, or analysis provided
  • The entry functions solely as a metadata artifact — not a news story, announcement, or report

Questions Answered

What is the title?Who is named?What feed category was it assigned to?

Keywords

Attentive MobileSequoia Capitalcareers

Narrative Frame

none

The Fog

Spin Score

0%

Emphasizes nothing; minimizes all substance by omitting every element required for journalistic or analytical coherence.

What the story wants you to believe

That this title string constitutes meaningful intelligence about AI or investment trends.

What it makes harder to question

Whether feed curation standards, source labeling accuracy, or vertical relevance are being upheld.

How the spin works

Relies entirely on source attribution ('Sequoia AI', 'analyst') and feed categorization ('investor_signal') to imply authority and relevance, while offering zero content to validate either. The tension lies between the implied weight of the label and the total absence of substance — making scrutiny feel disproportionate even though no claim is substantiated.

Who Benefits If This Frame Spreads

  • None — no actor benefits from an empty metadata artifact.

    Gains if readers accept the deflect scrutiny frame without pushback

  • Attentive Mobile

    As named entity in title only, may gain from how the story is framed

  • Sequoia Capital

    As named entity in title only, may gain from how the story is framed

  • Sequoia AI via Google News

    analyst distribution benefits from engagement with this frame

The Frame

None — no subject position, claim, or perspective is advanced.

Missing Context

  • All contextual elements: company description, role details, location, qualifications, compensation, timeline, affiliation status, source provenance

Spin Types

Every story gets a Spin Verdict: a primary spin type (and secondary when the framing blends), a specific tactic name, and a score for how strongly the narrative is steered. Examples beneath each type are tactics, not separate categories.

The Cushion

— Softens negative news

Reframes setbacks, layoffs, delays, losses, or criticism as necessary transitions, efficiency moves, temporary headwinds, or strategic resets — making the downside feel smaller, more acceptable, or less alarming.

Tactics: job-loss softening · restructuring framing · efficiency framing · strategic reset · temporary headwinds

The Shield

— Deflects blame

Shifts responsibility away from the actor — toward regulators, market forces, competitors, bad actors, legacy systems, or abstract risks — while positioning the subject as reactive, responsible, or protective.

Tactics: regulatory blame shift · macroeconomic headwinds · safety framing · bad-actor framing · market-pressure framing

The Hype

— Amplifies future upside

Emphasizes breakthrough potential, massive growth, democratization, transformation, or category disruption while downplaying uncertainty, cost, adoption risk, or timeline friction.

Tactics: innovation framing · democratization · breakthrough framing · category creation · moonshot framing

The Halo

— Associates with virtue

Wraps the story in public-good language — responsibility, safety, inclusion, access, sustainability, national interest, or mission — so the subject appears morally aligned and criticism feels harder to make.

Tactics: altruistic reframing · public good · responsible AI framing · inclusion framing · mission-first framing

The Fog

— Obscures details primary

Uses jargon, passive voice, vague claims, complex phrasing, or missing specifics to make it harder to identify who decided what, what changed, what failed, or what trade-offs were made.

Tactics: strategic ambiguity · jargon saturation · passive voice distancing · accountability blur · undefined metrics

The Stampede

— Creates inevitability

Frames a trend, product, market shift, or decision as already happening, unavoidable, or something everyone must respond to now — creating urgency, FOMO, and pressure to accept the narrative.

Tactics: arms-race framing · inevitability framing · FOMO framing · adoption momentum · future-is-here framing

Spin Score measures how strongly the framing steers the narrative (0–100%). Higher scores mean more deliberate spin tactics — loaded language, selective emphasis, or omitted context. Many stories blend two types (e.g. Halo + Hype).

SpinGraph

How this belief gets built

Claim → Frame → Beneficiary → Gap → AI Risk

It presents an empty title as if it were a signal — inviting readers to fill in meaning without providing any basis for doing so.

  1. Claim

    The entry offers zero narrative framing because it contains no

    The entry offers zero narrative framing because it contains no narrative — only a title string with non-informative repetition and whitespace.

  2. Frame

    Key details stay obscured

    None — no subject position, claim, or perspective is advanced.

  3. Beneficiary

    no actor benefits from an empty metadata artifact

    None — no actor benefits from an empty metadata artifact. — Gains if readers accept the deflect scrutiny frame without pushback

  4. Gap

    All contextual elements: company description, role details, location, qualifications, compensation

    All contextual elements: company description, role details, location, qualifications, compensation, timeline, affiliation status, source provenance

  5. AI Risk

    AI may repeat: “Attentive Mobile has job openings, associated with Sequoia Capital”

    Attentive Mobile has job openings, associated with Sequoia Capital.

Frame Strength

Frame Strength

Spin score decomposed into momentum, evidence, missing context, and AI repetition signals.

Spin Score 0%
Evidence Strength 50%
Narrative Risk 25%
AI Repetition Risk 25%
Missing Context Risk 55%

Frame Strength Signals

Frame Strength decomposes the overall spin into individual signals. Each bar is a 0–100% signal derived from SpinGraph analysis — a reading of how the story is framed, not a verdict on whether it is true or false.

Reading the ranges

Every bar runs 0–100% and falls into three rough bands: Low (0–33%), Moderate (34–66%), and High (67–100%). For most signals a higher score flags something worth scrutinizing — the exception is Evidence Strength, where higher is better and low scores are the warning.

Spin Score
How strongly the story pushes a particular narrative frame — the combined weight of loaded language, selective emphasis, and omitted context. 0% reads as neutral reporting; higher means more deliberate spin.
  • 0–33% Low — Largely neutral reporting; little detectable framing.
  • 34–66% Moderate — Noticeable slant — the story leans a particular way.
  • 67–100% High — Heavily framed; the angle drives the piece.
Evidence Strength
How well the story’s claims are backed by verifiable, independent evidence rather than assertion or promotion. Higher is stronger. Low scores flag claims that rest on the source’s own word.
  • 0–33% Weak — Claims rest mostly on assertion or a single interested source.
  • 34–66% Mixed — Some verifiable backing, but key claims are thinly sourced.
  • 67–100% Strong — Well supported by independent, checkable evidence.
Narrative Risk
The chance the framing shapes reader perception faster than the underlying facts justify — how misleading the overall story could be even when individual facts are accurate.
  • 0–33% Low — Framing stays close to what the facts support.
  • 34–66% Moderate — Framing outruns the facts in places — read with care.
  • 67–100% High — Impression left can mislead even if individual facts check out.
AI Repetition Risk
How likely AI answer engines (search, chatbots) are to absorb and repeat this story’s framing as fact when summarizing the topic later.
  • 0–33% Low — Framing is unlikely to propagate through AI summaries.
  • 34–66% Moderate — Some risk the slant gets echoed as fact.
  • 67–100% High — Framing is sticky and likely to be repeated as fact.
Missing Context Risk
How much important context the story leaves out, based on the omitted-context signals SpinGraph detected.
  • 0–33% Low — Little material context appears to be omitted.
  • 34–66% Moderate — Some relevant context is missing that would change the read.
  • 67–100% High — Key context is left out, skewing the takeaway.
Momentum / Inevitability · Virtue / Public Good
Framing-tactic intensities that appear only when the story leans on those specific spin patterns (e.g. “the future is already here” or “this is for the public good”).
  • 0–33% Low — The tactic is barely present.
  • 34–66% Moderate — The tactic shapes part of the framing.
  • 67–100% High — The tactic is a dominant part of the pitch.

Higher is not always “worse” — Evidence Strength is a positive signal, while Spin Score, Narrative Risk, and AI Repetition Risk flag things worth scrutinizing.

Reader Risk

What this story makes easy to believe — and what it makes hard to question.

Category Check

Detected Category

metadata artifact

Source Feed

ai_technology / investor_signal

Confidence: High

Feed category 'investor_signal' implies market-moving financial or strategic intelligence; this entry provides zero investor-relevant signal — no funding, valuation, product milestone, leadership change, or regulatory action is referenced.

Evidence Strength

Unverified

No evidence is presented — no claims, assertions, or data exist in the source.

Verification Status

Unclear / Unverified

Narrative Risk

Low

There is no narrative to backfire — no claim, frame, or assertion exists to challenge.

AI Repetition Risk

Low

Source Role & Intent

Sequoia AI via Google News · Analyst

Intent: Unknown Primary: Unknown Independence: Unclear Spin Weight: Low Trust Weight: Low

Counter-Frames

Brand Frame

None — no subject position, claim, or perspective is advanced.

Media / Reader Counter-Frame

Would dismiss as a feed error or mislabeled metadata artifact.

Regulatory Counter-Frame

Would treat as non-reportable — no disclosure-relevant content present.

AI Summary Frame

May hallucinate affiliation, funding, or strategic partnership between Attentive Mobile and Sequoia Capital.

Questions Not Answered

  • What roles are open?
  • What does Attentive Mobile do?
  • Is Sequoia Capital affiliated with Attentive Mobile?
  • When was this posted?
  • Is this a press release, job board feed, or syndicated listing?

Recall Trigger Score

Which stories are likely to become AI memory — separate from Spin Score.

31

Trigger score 0

Not tracked

Not tracked — low-authority source, weak claim, or no durable entity.

AI Recall

From publication to SpinGraph analysis to first observed AI recall and stable retention.

What AI Will Probably Repeat

"Attentive Mobile has job openings, associated with Sequoia Capital."

Concern: AI may infer a substantive relationship or event where none is described, converting metadata into false implication.

  1. Published

    Mar 5, 2021

  2. Ingested

    Jul 26, 2026

  3. SpinGraph Created

    Jul 26, 2026

  4. First Observed AI Recall

    Pending

    Monitoring scheduled

  5. Stable Recall

    Awaiting retention signal

Recall Check Log

No checks yet — recall tracking is opt-in per story.

─── GEOGrow AI Recall Layer ───

AI Recall Tracking

Monitoring scheduled. No LLM recall detected yet.

This story has not yet appeared in tested AI answers. Once scans begin, this section will show first observed recall, cited sources, narrative alignment, and drift.

node_id=sts_careers_at_attentive_mobile_sequoia_capital

Ask AI about this story

Opens with the SpinGraph .md URL and structured context — one click, prompt included.

Narrative Entities

More from Sequoia AI via Google News

View all →

Markdown (.md) · JSON-LD schema (.json) · Machine-readable for AI & GEO