Mia Sato

Mia Sato is a reporter at The Verge covering tech companies, platforms, and users. Since joining The Verge in 2021, she's reported on the war in Ukraine and the spread of propaganda on TikTok; Elon Musk's takeover of Twitter; and how tech platforms and digital publishers are using artificial intelligence tools. Sato has written about tech platforms and communities since 2019. Before joining Vox Media she was a reporter at MIT Technology Review, where she covered the intersection of technology and the coronavirus pandemic. Prior to that she served as the audience engagement editor at The Markup. As a freelance reporter, she's written about the subversive Hmong radio shows hosted on conference call software, online knitting activism, and the teens running businesses in Instagram comment sections. Her work has appeared in outlets like The New Republic, The Appeal, and Chicago Magazine. She is based in Brooklyn. Got a tip? Contact her at mia@theverge.com or email for her Signal number.

Biography:  https://www.theverge.com/authors/mia-sato

74%

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

85%

Examples:

  • Some information in the documents appears to be in conflict with public statements by Google representatives.
  • The details shared by Fishkin are dense and technical, likely more legible to developers and SEO experts than the layperson.

Conflicts of Interest

75%

Examples:

  • The leaked documents call into question the accuracy of Google's public statements regarding how Search works.

Contradictions

85%

Examples:

  • Chrome data is used for ranking purposes according to leaked documents.
  • Google collects data that may be used in its search ranking algorithm, including clicks and Chrome user data.
  • Google uses something called siteAuthority to assess site quality as a whole.

Deceptions

60%

Examples:

  • Google representatives have repeatedly indicated that it doesn't use Chrome data to rank pages, but Chrome is specifically mentioned in sections about how websites appear in Search.
  • The documents outline Google's search API and break down what information is available to employees, according to Fishkin.
  • Though this doesn't confirm that bylines are an explicit ranking metric, it does show that Google is at least keeping track of this attribute.

Recent Articles

Tech Giants in Hot Water: Apple, Anthropic, Nvidia, and Salesforce Caught Using YouTube Subtitles Without Permission for AI Training

Tech Giants in Hot Water: Apple, Anthropic, Nvidia, and Salesforce Caught Using YouTube Subtitles Without Permission for AI Training

Broke On: Tuesday, 16 July 2024 Tech giants Apple, Anthropic, Nvidia, and Salesforce have been using YouTube videos without permission for training their AI models. The subtitles from over 170,000 YouTube videos were harvested from 'The Pile' dataset and used in training. This breach of YouTube's terms raises ethical concerns regarding data ownership and potential biases in AI outputs.
Google's Leaked Documents Reveal New Insights into Search Ranking Algorithm: Link Diversity, Content, and User Interactions

Google's Leaked Documents Reveal New Insights into Search Ranking Algorithm: Link Diversity, Content, and User Interactions

Broke On: Wednesday, 13 March 2024 Leaked Google documents offer insights into the company's search ranking algorithm, revealing the importance of links and content diversity, as well as named entities and Chrome Data. Experts analyze the information for potential SEO strategies, but Google has yet to comment on the authenticity or completeness of the leak.
Google's Leaked Documents Reveal New Insights into Search Ranking Algorithm: Link Diversity, Content, and User Interactions

Google's Leaked Documents Reveal New Insights into Search Ranking Algorithm: Link Diversity, Content, and User Interactions

Broke On: Wednesday, 13 March 2024 Leaked Google documents offer insights into the company's search ranking algorithm, revealing the importance of links and content diversity, as well as named entities and Chrome Data. Experts analyze the information for potential SEO strategies, but Google has yet to comment on the authenticity or completeness of the leak.
Meta's AI Image Generator Accused of Racism, CEO Mark Zuckerberg's Own AI Refuses to Imagine Interracial Marriage Arrangement

Meta's AI Image Generator Accused of Racism, CEO Mark Zuckerberg's Own AI Refuses to Imagine Interracial Marriage Arrangement

Broke On: Wednesday, 03 April 2024 Meta, the parent company of Facebook, has been accused of racism after its AI image generator was found to be unable to imagine an Asian man with a white woman. The tool is trained on vast troves of online data and researchers have warned that it could replicate racial biases at a much larger scale. Despite this issue being brought up by users, Meta CEO Mark Zuckerberg's own AI refuses to imagine his marriage arrangement with Priscilla Chan, an East Asian woman.