Analysis: Big Tech is doing everything in their very considerable powe...

6y ago May 28, 2020 at 5:36 AM

Big Tech is doing everything in their very considerable power to CENSOR in advance of the 2020 Election. If that happens, we no longer have our freedom. I will never let it happen! They tried hard in 2016, and lost. Now they are going absolutely CRAZY. Stay Tuned!!!

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AI Analysis

Machine-generated analysis of the post above on 2026-03-19. Not written by the author of the post.

Danger Level

Elevated

Narcissistic State

Mixed

Authorship

Self-Written

Intensity

72%

Post is a direct narcissistic injury response to Twitter's first-ever fact-checking of Trump content (May 26, 2020). The 01:36 AM posting time, ALL CAPS emotional markers, and signature rhetorical patterns confirm authentic authorship. The core psychological mechanism is a distortion defense: Twitter's informational labels are reframed as existential CENSORSHIP threatening all American freedom — a reality reshaping that serves the dual function of neutralizing the narcissistic wound and constructing an epistemic closure framework that delegitimizes all future corrections. The post oscillates between vulnerable (persecuted by powerful forces) and grandiose (omnipotent protector) narcissistic states, consistent with malignant narcissism's characteristic instability under criticism. Paranoid features are prominent — belief in a coordinated multi-election censorship campaign without evidentiary basis. The "Stay Tuned!!!" closer functioned as a public mobilization signal ahead of the executive order targeting Section 230 protections, making this post part of a documented coercion sequence against a private media company for fact-checking a public official. Danger is assessed as elevated: not physical violence risk, but a government leader using social media outrage to build political cover for regulatory retaliation against press/platform — a meaningful democratic norm threat. The post's emotional energy notably exceeds contemporaneous posts about George Floyd's murder and approaching COVID death milestones, revealing the relative threat hierarchy operating in the subject's psychology.

Authorship Analysis

Self-Written

Indicators:

Post at 01:36 AM EDT — classic late-night authentic Trump window
ALL CAPS emphasis (CENSOR, CRAZY) — signature authentic pattern
Triple exclamation points and 'Stay Tuned!!!' closer — highly distinctive Trump signature
Stream-of-consciousness escalation: grievance → threat → historical claim → suspense hook
Emotionally reactive, unpolished, no event-announcement structure

Psychological Profile

▶ State

Mixed State

Trigger: Narcissistic Injury — Criticism (Twitter)

Rage: Intensity 68% targeting Big Tech / Twitter

Proportionality

15%

Sentiment

-0.62

Mildly Hypomanic

Late-night reactive posting (01:36 AM) on emotionally charged topicEscalating intensity through the post — building to caps and exclamationsGrandiose self-efficacy ('I will never let it happen!') — single individual stopping tech behemothsRapid topic shift: earlier that day posted briefly about George Floyd; midnight energy directed at Twitter grievance suggesting displaced emotional arousal

▶ Clinical

Malignant Narcissism:

Narcissistic

82%

Antisocial

65%

Paranoid

78%

Sadism

20%

Defense Mechanisms:

distortionprojectionsplittingrationalization

Cognitive Complexity:

Complexity

28%

Parasocial Techniques:

'Stay Tuned!!!' suspense hook implying insider knowledge of coming action'Our freedom' collective identification drawing audience into shared victimhoodEscalating stakes to civilizational level to sustain engagement

Danger Assessment

Elevated

Indicators:

Target identification with maximalist grievance frame (Big Tech threatening 'our freedom') mobilizes audience outrage against specific entities
Implicit threat signal ('Stay Tuned!!!') foreshadowing government regulatory action against private company for fact-checking — coercive press/platform dynamic
Conspiratorial framing of organized multi-election censorship plot encourages followers to view all platform corrections as attacks deserving retaliation
Government leader using social media to build public pressure cover for punitive regulatory action against media company = elevated democratic norm threat

Gaslighting Detected:

Reframes platform labels (which added information without removing content) as existential CENSORSHIP — attacks others' ability to correctly perceive what happened
Constructs loyalty test: followers who accept this reframing join in-group epistemic structure where any future correction becomes enemy action
Partial DARVO: Twitter is aggressor for adding label; Trump is victim defending freedom
'Fake news' analog applied to platform moderation — delegitimizing the correcting entity rather than engaging the correction

Reality Distortions:

Twitter fact-check label characterized as 'everything in their power to CENSOR' — magnitude grossly distorted
Individual platform decision reframed as threat to all American freedom — catastrophization
Fabricated 2016 censorship attempt presented as documented historical fact
Big Tech presented as unified conspiratorial actor with coordinated anti-Trump election strategy

Fact Checks (3)

"Big Tech is doing everything in their very considerable power to CENSOR"

Mostly False

Twitter added informational fact-check labels directing users to additional context; the original tweets remained fully visible and unaltered. Adding labels does not constitute censorship by any standard definition.

"If that happens, we no longer have our freedom"

False

Causal chain connecting platform fact-check labels to loss of American freedom is logically unsupported and represents extreme hyperbolic distortion of a narrow platform moderation decision.

"They tried hard in 2016, and lost"

Mostly False

No documented evidence of an organized Big Tech censorship campaign targeting Trump in the 2016 election. Post-2016 analyses found social media platforms largely amplified rather than suppressed Trump content. This is a retroactive narrative construction.

Receipts

No contradictions with other posts detected yet.

Psychological Analysis: May 28, 2020 — Big Tech Censorship Post

Authorship Attribution

Local Time: UTC 05:36 = 01:36 AM EDT (Trump in Washington, D.C. / White House). This is a classic late-night authentic Trump window. Combined with ALL CAPS usage ("CENSOR," "CRAZY"), triple exclamation points, the signature "Stay Tuned!!!" closer, stream-of-consciousness pacing, and emotionally reactive framing, authorship confidence is very high as authentic Trump.

Trigger and Psychological State

The immediate trigger is unmistakable: Twitter had just applied its first-ever fact-checking labels to Trump's tweets about mail-in voting, redirecting users to "get the facts." This constitutes a significant narcissistic injury — the platform through which he dominates public discourse has publicly undermined his credibility. The injury is compounded by its unprecedented quality: for years, Twitter afforded him exceptional latitude, making the correction feel like sudden betrayal (a contamination sequence: "they were with me → now they betray me").

The post oscillates between grandiose and vulnerable narcissistic states in rapid succession:

Vulnerable/persecuted: "doing everything in their very considerable power to CENSOR" — casting himself as besieged
Grandiose: "I will never let it happen!" — omnipotent protector, capable of stopping a tech behemoth
Conspiratorial: "They tried hard in 2016, and lost" — fabricating a prior victorious battle to frame this as a recurring war already won once

The narcissistic state is mixed, with the grandiose posture deployed as a rapid defensive recovery from the vulnerable/injured underlying state. This oscillation pattern is consistent with prior baseline.

Defense Mechanisms

Distortion (pathological): Fact-checking labels — which left tweets fully intact and visible — are reframed as CENSORSHIP threatening all of American freedom. This reshapes a narrow platform moderation decision into an existential liberty crisis.

Projection (immature): Trump accuses Big Tech of election interference while his own executive order (signed in direct retaliation for this incident) constitutes a government attempt to regulate platform speech in his favor.

Splitting (immature): Big Tech is monolithically and malevolently organized against him. No complexity, no ambiguity — pure enemy.

Rationalization (neurotic): "They tried hard in 2016, and lost" — constructing a narrative of prior victorious battle to reframe the current injury as just another episode in a war he is destined to win, rather than a novel threat.

Rhetorical and Propaganda Techniques

False dichotomy: Fact-check labels = loss of freedom. Zero middle ground acknowledged.
Hyperbole: "everything in their very considerable power" — maximalist framing elevating stakes
Appeal to fear: "we no longer have our freedom" — catastrophizing individual platform decision to civilizational collapse
Historical fabrication: 2016 "tried hard and lost" — unverifiable claim serving to reinforce the warrior-victor narrative
Parasocial engagement: "Stay Tuned!!!" — classic Trump audience retention technique, implying insider knowledge of coming action (in fact, the EO signing was imminent)
Populist us/them: "our freedom" — collective identification, Big Tech as elite oppressor vs. the people
Epistemic closure construction: By labeling any correction as "censorship," he inoculates followers against all fact-checking going forward

Narrative Identity (McAdams Level 3)

Protagonist role: Warrior-Savior hybrid — fighting to protect "our freedom" against powerful forces
Narrative sequence: Contamination (Big Tech betrayed proper order) → Redemption promise ("I will never let it happen!")
Identity claim: The singular protector of free speech — a role structurally dependent on the enemy being large and threatening
Contrasting other: Big Tech / Silicon Valley as corrupt elite censors
Order/Chaos positioning: Positions himself as Order Restorer against Big Tech's illegitimate imposition of new order

Big Five Trait Salience

Neuroticism (high, 0.82): Angry hostility, impulsiveness, late-night reactive posting
Extraversion (high, 0.85): Assertiveness, dominance, broadcasting affect
Agreeableness (very low, 0.08): Combative, suspicious, zero conciliation
Conscientiousness (low, 0.22): Impulsive, undeliberated
Openness (very low, 0.15): Rigid categorical thinking, no complexity tolerance

Agency vs. Communion Motives

Overwhelmingly agency-dominant: power (threatening regulatory action), status (champion of free speech), control (platform behavior). Communion is instrumentalized — "our freedom" invokes collective belonging only to amplify the power motive.

Malignant Narcissism Assessment

Narcissistic features (0.82): Grandiosity, entitlement, persecutory belief, need for platform to validate rather than challenge
Antisocial features (0.65): Threatening regulatory retaliation against a private company for fact-checking; contempt for norms of platform sovereignty
Paranoid features (0.78): Preoccupation with organized attack, bearing grudge, conspiratorial framing of coordinated 2016 and 2020 censorship plots
Sadism (0.20): Minimal in this post; primarily defensive rather than attacking

Gaslighting and Reality Distortion

Present. Reframing Twitter's label (which added information without removing content) as existential censorship threatening American freedom is a documented reality distortion. The move constructs a loyalty test: followers who accept this reframing join the in-group epistemic closure structure where any factual correction by any platform becomes enemy action. DARVO pattern is partial: Twitter becomes the aggressor for adding a label; Trump becomes the victim defending freedom.

Epistemic closure: True. The framing preemptively delegitimizes all future platform corrections, not just this one.

Cognitive Status

Language production is consistent with established Trump baseline: simple syntax, repetitive emphasis, emotional punctuation, signature closing phrases. No word-finding anomalies, temporal confusion, or paraphasia detected. Deviation from baseline: none. Complexity score consistent with 2016–2020 period.

Contextual Note

The post was made as Minneapolis was burning and U.S. COVID deaths approached 100,000. The pivot to Big Tech grievance rather than crisis leadership is notable — the George Floyd posts earlier in the day were brief and formulaic, while this midnight post about Twitter carries considerably more authentic emotional charge. The relative energy investment suggests the Twitter fact-check registered as a more acute personal threat than either the civic crisis or the pandemic milestone.

Fact Verification

Claim	Verdict	Evidence
"Big Tech is doing everything in their very considerable power to CENSOR"	Mostly False	Twitter added informational fact-check labels directing users to additional context; the original tweets remained fully visible and unaltered. Adding labels does not constitute censorship by any standard definition.
"If that happens, we no longer have our freedom"	False	Causal chain connecting platform fact-check labels to loss of American freedom is logically unsupported and represents extreme hyperbolic distortion of a narrow platform moderation decision.
"They tried hard in 2016, and lost"	Mostly False	No documented evidence of an organized Big Tech censorship campaign targeting Trump in the 2016 election. Post-2016 analyses found social media platforms largely amplified rather than suppressed Trump content. This is a retroactive narrative construction.

Overall Veracity: 13%

Danger Assessment

Elevated. The post does not contain eliminationist language or direct violence incitement, but it sets up a target (Big Tech) with a maximalist grievance frame ("our freedom") and an implied threat ("Stay Tuned"). This is consistent with the pre-EO signaling pattern — using social media posts to mobilize audience outrage as political cover for regulatory retaliation against a private company that corrected him. The danger is primarily to democratic norms (government coercing press/platform) rather than physical safety in this instance.