Artificial Intelligence Makes Fake News More Credible

Artificial Intelligence Makes Fake News More Credible

https://www.miragenews.com/artificial-intelligence-makes-fake-news-more-1603343/

Publish Date: 2026-01-16 07:46:00

Source Domain: www.miragenews.com

Here’s an unordered list summarizing the significant points from the article on the linguistic features of fake news and developing fact-checking tools:

• Language Project “Fakespeak”: Linguist Silje Susanne Alvestad led the ‘Fakespeak – the language of fake news’ project, studying how the language characteristics of fake news can be identified in English, Russian, and Norwegian.

• Linguistic Peculiarities of Fake News: The research discovered linguistic markers of fake news, such as:

  • Predominant use of present tense indicative of falsehood
  • Informal, conversational style
  • Higher usage of emphatic expressions
  • A more categorical and certain tone

• Impact of Writer’s Motivation: Fake news varies linguistically depending on the writer’s motivation:

  • Monetary motivations correspond to fewer metaphors
  • Ideological motivations correlate with more metaphors, especially from sport and war

• Challenge for Fact-Checking Tools: The linguistic features of fake news vary widely and are influenced by individual languages and cultural contexts, making it challenging to create a universal fact-checking tool based purely on linguistic characteristics.

• NxtGenFake Project: Research on the linguistic features of AI-generated disinformation complements the ongoing project “NxtGenFake”, which is focused on AI-generated disinformation.

• Characteristics of AI-Disinformation:

  • Less variation in persuasive techniques
  • Frequently employs an “Appeal to Authority”
  • Generally concludes with “Appeal to Values”

• Public Perception of AI-Generated Disinformation: In tests, the AI-generated disinformation was rated as more credible, more informative, and preferred over human-written disinformation, indicating a potentially greater challenge in detection.

These points give a condensed view of the core research findings and concerns discussed in the article.