Reportedly Fake CNN Broadcast Allegedly Used to Spread False Texas Election Results

A reportedly fabricated CNN broadcast graphic showing early Texas election results for the 2024 U.S. presidential race circulated on social media on November 2, 2024. The purportedly manipulated image claimed that Vice President Kamala Harris led over Donald Trump before polls opened, allegedly fueling misinformation about election integrity. CNN is reported to have confirmed the image was inauthentic, and AFP debunked the claims.

Risk classification

• Primary risk domain: 4 Malicious actors
• Primary risk subdomain: 4.1 Disinformation, surveillance, and influence at scale

The fabricated graphic was intentionally spread at scale across major social media platforms to manipulate public opinion and cast doubt on the integrity of the 2024 presidential election.

Additional risk subdomains

• 3.1 False or misleading information: The incident involved the generation and viral spread of a highly realistic but entirely false graphic depicting fabricated election results.

Causal factors

• Entity: Human
• Intent: Intentional
• Timing: Post-deployment

The incident was caused by a human actor who intentionally fabricated and spread the misleading graphic to influence public opinion post-deployment of social media platforms.

EU AI Act risk tier

• Risk tier: 3 Limited Risk

Limited Risk: The incident involves the creation and dissemination of manipulated media (a fake broadcast graphic), which falls under transparency obligations for synthetic content.

AI system and alleged parties

• AI system: None named
• AI purpose: Image Generation; Social Media Content Generation
• Behaviour type: unknown
• Alleged developer: Unknown AI developers
• Alleged deployer: James Woods, Anonymous X user
• Alleged harmed parties: Texas voters, Electoral integrity, Democracy, CNN

Harm severity

Severity ratings are based on this scale.

Highest direct severity in any category: Minor. Severity is scored from Negligible to Catastrophic in each harm category, for harm the reports describe as caused directly or indirectly by the AI system.

• Physical: direct Negligible, indirect Negligible
• Infrastructure: direct Negligible, indirect Negligible
• Property: direct Negligible, indirect Negligible
• Financial: direct Negligible, indirect Negligible
• Environmental: direct Negligible, indirect Negligible
• Malicious content: direct Minor, indirect Negligible
• Differential treatment: direct Negligible, indirect Negligible
• Civil rights: direct Negligible, indirect Negligible
• Democracy: direct Minor, indirect Minor
• Privacy: direct Negligible, indirect Negligible
• Psychological: direct Negligible, indirect Negligible
• Epistemic: direct Minor, indirect Minor
• Child sexual exploitation and abuse: direct Negligible, indirect Negligible

Malicious content

Reported: Yes, the report describes the spread of a fabricated image designed to fuel claims of a rigged election.

Directly caused: The fabricated CNN graphic was directly spread on X, Instagram, and Threads, reaching a wide audience in the 'Election Integrity Community'.

Inferred additional harm: It is likely that further copycat posts or similar fabricated graphics were generated and shared across other social media platforms.

Democracy

Reported: Yes, the report describes how the fabricated image was used to fuel claims that the election was rigged, undermining trust in democratic processes.

Directly caused: The post on X directly questioned if there was a plan to 'steal Texas', casting doubt on the integrity of the 2024 presidential election.

Indirectly caused: The spread of such disinformation can lead to broader public distrust in election outcomes and democratic institutions.

Inferred additional harm: It is likely that thousands of voters who saw the post experienced diminished trust in the electoral system.

Epistemic

Reported: Yes, the report describes the creation and viral spread of a fabricated CNN election broadcast graphic.

Directly caused: A fabricated image showing false early voting results in Texas was widely shared on X, Instagram, and Threads.

Indirectly caused: The fabrication misled social media users into believing CNN had aired pre-determined election results.

Inferred additional harm: It is likely that many users who viewed the graphic believed it was real, eroding their perception of shared reality regarding the election.

People affected

• Occurrences reported: 1
• People reportedly exposed: 100000

Potential causes

Management

• Engagement-Driven Business Model: Platforms prioritized user engagement over information integrity.
• Inadequate Risk Mitigation: Social media management failed to secure election-related spaces from fakes.

Technology

• Digital Manipulation Tools: Tools allowed creating highly realistic fake CNN broadcast graphics.
• Algorithmic Amplification: Platform algorithms amplified the fake image to increase user engagement.

Data Inputs

• Unverified Visual Content: Unlabeled and unverified user-generated images were processed by platforms.
• Inaccurate Election Data: Fabricated vote tallies with mathematical errors were input into the graphic.

Human Factors

• Confirmation Bias of Users: Users shared the fake graphic to support pre-existing election fraud beliefs.
• Deliberate Deception by Creator: The creator doubled down on false claims that the image was authentic.

Process and Methods

• Weak Content Moderation: Platforms lacked proactive review to catch manipulated election graphics early.
• Inefficient Fact-Checking: Fact-checking and debunks occurred only after the image went viral.

Regulatory Environment

• Lack of Platform Accountability: No regulatory mandates forced platforms to verify highly viral election media.

Information quality

• Classification confidence: Medium
• Reason for confidence: The report is highly detailed about the misinformation and its spread, but does not identify if or what AI tools were used to create the fabricated image.
• Ambiguities identified: Whether generative AI or standard digital editing (like Photoshop) was used to create the fake graphic.
• Alternative interpretations: The image could be a purely manual Photoshop edit with no AI involvement, making it a non-AI misinformation event.
• Missing information: Confirmation of whether generative AI was used to create the image, and if so, which model or platform was employed.

A fabricated CNN graphic showing fake early election results in Texas was spread on social media to fuel election fraud conspiracy theories. While quickly debunked, the incident highlights the ongoing threat of manipulated media targeting democratic processes, though it had minor overall impact on national security.

• Overall national security impact: Minor
• Scope: Single nation
• Primary target: United States
• Alleged perpetrator: Unknown

Threat characteristics

• Imminence: Immediate. The misinformation circulated days before the 2024 election, requiring rapid response from media and election officials to mitigate confusion.
• Autonomy: Human-controlled. The creation and dissemination of the fabricated image were entirely controlled and executed by human actors.
• Novelty: Established threat. Using manipulated or fabricated media to spread election-related misinformation is a well-established threat seen in prior election cycles.

Impact by dimension

• Physical security: Negligible. No physical systems, infrastructure, or human safety threats were involved in this social media misinformation incident.
• Information security: Minor. Involves fabricated media mimicking a major news network to spread election misinformation, but lacks evidence of sophisticated state-sponsored intelligence or cyber operations.
• Sovereignty: Minor. Falsely claimed early election results to cast doubt on electoral integrity, but did not compromise actual voting systems or government operations.
• Economic security: Negligible. No threat to economic stability, strategic industries, or technological competitive advantage was identified.
• Societal stability: Minor. The incident fueled election fraud conspiracy theories on social media, representing minor localized societal manipulation, but did not result in civil unrest.