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  1. Google points users to fake news less than users' own biases: study  Daily Mail
  2. How Google manipulates search to favor liberals and tip elections  New York Post
  3. Google Search Isn't Creating An Echo Chamber, But You Probably Are  IFLScience
  4. People, Not Google's Algorithm, Create Their Own Partisan 'Bubbles' Online  Scientific American
  5. People, not search-engine algorithms, choose unreliable or partisan news  Nature.com
  6. View Full Coverage on Google News
Google provided more diverse news than readers were likely to click on, new research says. And elderly users read 'significantly more unreliable news' than the young

Google algorithms point readers to fake news less often than their own political biases, study finds | Daily Mail Online

While the focus has been on Twitter and Facebook’s censorship and liberal bias, the worst Big Tech culprit of all has been getting a free pass — and now it’s coming for our children.There is no reason to think it won’t happen again in 2024. Only Dr. Robert Epstein is standing in the way.

How Google manipulates search to favor liberals and tip elections

There is no reason to think it won’t happen again in 2024. Only Dr. Robert Epstein is standing in the way.

How Google manipulates search to favor liberals and tip elections

If popular online platforms systematically expose their users to partisan and unreliable news, they could potentially contribute to societal issues such as rising political polarization1,2. This concern is central to the ‘echo chamber’3–5 and ‘filter bubble’6,7 debates, which critique the roles that user choice and algorithmic curation play in guiding users to different online information sources8–10. These roles can be measured as exposure, defined as the URLs shown to users by online platforms, and engagement, defined as the URLs selected by users. However, owing to the challenges of obtaining ecologically valid exposure data—what real users were shown during their typical platform use—research in this vein typically relies on engagement data4,8,11–16 or estimates of hypothetical exposure17–23. Studies involving ecological exposure have therefore been rare, and largely limited to social media platforms7,24, leaving open questions about web search engines. To address these gaps, we conducted a two-wave study pairing surveys with ecologically valid measures of both exposure and engagement on Google Search during the 2018 and 2020 US elections. In both waves, we found more identity-congruent and unreliable news sources in participants’ engagement choices, both within Google Search and overall, than they were exposed to in their Google Search results. These results indicate that exposure to and engagement with partisan or unreliable news on Google Search are driven not primarily by algorithmic curation but by users’ own choices. Ecologically valid data collected during the 2018 and 2020 US elections show that exposure to and engagement with partisan or unreliable news on Google Search are driven not primarily by algorithmic curation but by users’ own choices.Nature - Ecologically valid data collected during the 2018 and 2020 US elections show that exposure to and engagement with partisan or unreliable news on Google Search are driven not primarily by...

Users choose to engage with more partisan news than they are exposed to on Google Search | Nature

Politically polarized Google users are not steered to partisan sites by the search engine’s algorithm but generally decide to go there on their own

People, Not Google's Algorithm, Create Their Own Partisan 'Bubbles' Online - Scientific American

Researchers at Rutgers University have found a major flaw in the way that algorithms designed to detect "fake news" evaluate the credibility of online news stor

Rutgers Researchers Find Flaws in Using Source Reputation for Training Automatic Misinformation Detection Algorithms

Researchers tracked internet users during recent elections using a custom web browser, finding little evidence of a filter bubble effect.

New Research Pushes Back on a Google Partisan 'Filter Bubble'

Among the 303 respondents who supported the DP, 36.5 percent or 110 demonstrated strong confirmation biases. Among the 253 who supported the PPP, 18 percent or 46 demonstrated confirmation biases.

Study finds progressives more susceptible to fake news

The study releases Google from blame, but not others.The study releases Google from blame, but not others.

Google Search Isn't Creating An Echo Chamber, But You Probably Are | IFLScience

Political ideology and user choice—not algorithmic curation—are the biggest drivers of engagement with partisan and unreliable news provided by Google Search, according to a study coauthored by Rutgers ...

Are search engines bursting the filter bubble? Study finds political ideology plays bigger role than algorithms

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