Voters can easily be duped by AI-driven election content: Media expert | NewsNation Live

Mark Cuban says 2024 will be the first AI-driven election season, saying this is a race in which “everyone’s frame of reference is influenced more by narratives delivered by the algorithms we consume than the actual events themselves.” NewsNation media contributor Colby Hall says Cuban is “wise to sound the alarm” on the issue, which he believes didn’t happen overnight.

#AI #MarkCuban #Election

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[kidsofelmstreet]

100% Accurate. This is a rabbit hole to really go down how algorithms work and how your personalized algorithm is set up. As they mentioned, people need to do a better job on researching and staying objective. Regardless of what side you lean to, it doesn't hurt to seek different opinions and view points at least for understanding.

I read and watch videos from CNN, NewsNation, FoxNews, and other various sources and make my judgement from seeing and reading different sources.

[thenoblerot]

most people seek confirmation bias and want to live in their own media bubble.

[slimerone]

"o no these dumb people might believe stuff we dont want them to believe!!!!"

[jc-id]

Legacy media might have several reasons for their resistance or apprehension towards AI assistance for citizens formulating questions. Here are ten potential reasons:

1. **Loss of Gatekeeping Power**: AI assistance can empower individuals to ask more pointed or critical questions, diminishing the traditional media's role as gatekeepers of information.

2. **Competition for Attention**: AI platforms can draw audiences away from traditional media by providing personalized and immediate responses, reducing media consumption.

3. **Challenges to Authority**: AI can enable citizens to fact-check and challenge narratives presented by the media, undermining their authority and credibility.

4. **Revenue Concerns**: As more people turn to AI for information, legacy media may face declining readership, viewership, and, consequently, advertising revenue.

5. **Adaptation Difficulties**: Traditional media organizations may struggle to adapt quickly to technological changes and integrate AI effectively into their operations.

6. **Bias Exposure**: AI can highlight biases in media reporting, leading to increased scrutiny and criticism from the public.

7. **Loss of Editorial Control**: AI-driven content generation can bypass editorial standards and processes, leading to content that may not align with the media's values or perspectives.

8. **Impact on Journalism Jobs**: The rise of AI in generating and curating content can threaten jobs in journalism, from reporters to editors.

9. **Erosion of Influence**: As AI enables more independent information-seeking behavior, the influence of legacy media over public opinion may wane.

10. **Regulatory and Ethical Concerns**: The media may raise concerns about the ethical implications and potential misuse of AI, advocating for stricter regulations that could hinder AI's development and adoption.

### Short Version in French
Les médias traditionnels peuvent résister à l'IA pour diverses raisons : perte de pouvoir de filtrage, concurrence pour l'attention, défis d'autorité, préoccupations de revenus, difficultés d'adaptation, exposition des biais, perte de contrôle éditorial, impact sur les emplois journalistiques, érosion de l'influence, et préoccupations éthiques et réglementaires.

### Short Version in Spanish
Los medios tradicionales pueden resistir la IA por varias razones: pérdida de poder de filtro, competencia por la atención, desafíos a la autoridad, preocupaciones de ingresos, dificultades de adaptación, exposición de sesgos, pérdida de control editorial, impacto en trabajos periodísticos, erosión de la influencia y preocupaciones éticas y regulatorias.

### Short Version in Ukrainian
Традиційні ЗМІ можуть чинити опір ІІ з різних причин: втрата контролю за інформацією, конкуренція за увагу, виклики авторитету, занепокоєння щодо доходів, труднощі адаптації, виявлення упереджень, втрата редакційного контролю, вплив на журналістські робочі місця, ерозія впливу та етичні та регуляторні питання