Glenn CHAPMAN

Glenn CHAPMAN is an investigative journalist with a focus on aviation safety and corporate culture. His work has appeared in various publications, including Yahoo News and the Seattle Times. Chapman's reporting has led to increased scrutiny of Boeing and its practices, particularly surrounding the 737 Max model and its aftermath. He has covered multiple hearings related to Boeing's safety culture, whistleblower cases, and the impact of the company's actions on airlines and passengers. Chapman's work often highlights corporate influence on regulatory bodies and the consequences of prioritizing profit over safety.

Biography:  https://www.yahoo.com/news/2nd-boeing-whistleblower-found-dead-heres-a-timeline-of-the-companys-mounting-problems-175734542.html

86%

The overall score is a weighted number that takes into account conflict of interest, bias, deception and other practices that undermines the credibility of the source. It is calculated as:
Analysis.OverallConflictOfInterestScore * 0.3F + Analysis.OverallBiasScore * 0.3F + Analysis.DeceptivenessScore * 0.3F + Analysis.ReadabilityScore * 0.1F

A score that takes into consideration the content for flow, interruptions with ads, and overt search engine optimization techniques that makes the content hard to understand

The Daily's Verdict

This author has a mixed reputation for journalistic standards. It is advisable to fact-check, scrutinize for bias, and check for conflicts of interest before relying on the author's reporting.

Bias

90%

Examples:

  • Google's use of artificial intelligence to sum up answers to search queries has publishers wondering if traffic to their websites will wither.
  • It’s going to create a negative impact on brands and publishers who rely on organic search traffic for sure.
  • We just have no idea how much, and we don’t really know what you can do about it.

Conflicts of Interest

100%

Examples:

  • Marketers and publishers have little choice but to keep doing what they are doing, and diversify where they appear online to get noticed in places other than Google searches.
  • Roetzer noted that Google has not provided much information about how the change might affect advertisers or publishers, essentially asking them to have faith.
  • The change will soon spread to other countries, arguably reducing the importance of links and web pages for more than a billion people.

Contradictions

85%

Examples:

  • News outlets and other media creators rich with fresh information could potentially strike deals with Google to make money from licensing the data used in AI models.
  • Research firm Gartner predicts traffic to the web from search engines will fall 25% by 2026 due to increased reliance on AI.
  • The change will soon spread to other countries, potentially reducing the importance of links and web pages for over a billion people.

Deceptions

70%

Examples:

  • Marketers and publishers have little choice but to keep doing what they are doing, and diversify where they appear online to get noticed in places other than Google searches.
  • Roetzer noted that Google has not provided much information about how the change might affect advertisers or publishers, essentially asking them to have faith.
  • The change will soon spread to other countries, arguably reducing the importance of links and web pages for more than a billion people.

Recent Articles

Google I/O 2024: Unveiling Gemini 1.5 Flash and Pro, Project Astra, and Transforming AI Search with Grounding

Google I/O 2024: Unveiling Gemini 1.5 Flash and Pro, Project Astra, and Transforming AI Search with Grounding

Broke On: Wednesday, 15 May 2024 Google's I/O 2024 conference showcased the public preview release of Gemini 1.5 Flash and Pro models, offering improved speed and efficiency or superior general performance for AI tasks. Project Astra, Google's vision for future AI assistants, was unveiled alongside new custom Tensor Processing Unit (TPU) and Audio Overviews for NotebookLM. Google addressed concerns regarding potential impacts on the web economy while ensuring transparency and accuracy through adversarial red-teaming tests.