Google hasn’t released consumers from its filter bubble — the package of personalized search results it delivers — despite having promised to do so, according to study results DuckDuckGo released Tuesday.
- Most participants saw results unique to them, which could not be explained by changes in location, time, by being logged into Google, or by Google testing algorithm changes with a small subset of users;
- On the first page of search results, Google included links for some participants that it did not include for others, even when logged out and in private browsing mode;
- Results within the news and videos in-boxes varied significantly. Participants were shown different sources, even after accounting for location; and
- Private browsing mode and being logged out of Google offered very little filter bubble protection.
Bing rolls social results into its search results. Amazon uses Bing for its FireOS devices, and its own A9 search engine for products.
DuckDuckGo focused on Google because “Google is the monopoly provider for search by a landslide, with over 90 percent market share worldwide, and more than 95 percent in many countries,” said DuckDuckGo Community Manager Daniel Davis.
“As such, we focused on them to start, though we would love to see further research in this area,” he told TechNewsWorld.
Although DuckDuckGo is a Google competitor, “their arguments stand scrutiny,” said Jon von Tetzchner, CEO of Vivaldi.
“Anyone that does a search comparison will see that for themselves,” he told TechNewsWorld.
Vivaldi earlier this year became the first browser to enable DuckDuckGo as the default search engine in its Private Windows.
For DuckDuckGo’s study, 87 volunteers across the United States searched Google on June 24, 2018, at 9 p.m. ET, using identical search terms.
Seventy-six of them used desktops and the remaining 11 used mobile devices.
They first searched in private browsing (incognito) mode while logged out of Google, then in normal mode.
The data is available for download in two parts: basic non-identifiable participant data, and raw data from the search results.
The code DuckDuckGo wrote to analyze the data is open source and available on its GitHub repository.
Different Strokes for Different Folks
Most people saw results customized for them.
- In private browsing mode, logged out, a search for “gun control” resulted in 62 variations, and 52 of 76 participants saw unique results. In normal mode, 58 variations were served up, and 45 of the 76 participants saw unique results;
- In private browsing mode, logged out, a search for “immigration” resulted in 57 variations, with 43 of 76 participants seeing unique results. In normal mode, there were nine variations, with unique results for 48 of 76 participants;
- In private browsing mode, logged out, a search for “vaccinations” returned 73 variations, with unique results for 70 of 76 participants. In normal mode, there were 73 variations, with 70 of 76 participants seeing unique results.
DuckDuckGo looked only at websites’ top-level domains.
To count variants of results, DuckDuckGo noted the order of the major elements: the organic (regular) links, the news (top stories) infobox, and the videos infobox. It ignored ads, sections containing related searches, and other infoboxes.
Results from mobile devices were excluded when variations were counted because there can be significant variations in the number of infoboxes displayed by mobile and desktop devices.
Google search results typically have 10 organic links, but, in private browsing mode, logged out of Google and with local domains replaced with “localdomain.com,” DuckDuckGo found the following:
- “Gun Control”: 19 different domains;
- “Immigration”: 15 different domains; and
- “Vaccinations”: 22 different domains.
“Some people were shown a very unusual set of results relative to the other participants — offered some domains seen by no one else,” DuckDuckGo’s Davis said.
“If you were one of these people, you would have no way of knowing what you’re missing,” he pointed out.
The problem is “particularly pernicious when searching for political topics,” Davis said.
If undecided voters get biased information when conducting research on political topics, the search engine manipulation effect can shift the voting preferences of undecided voters by at least 20 percent.
“The issue with filter bubbles is that we live in an echo chamber, which means we only see, hear and act on what we prefer to,” observed Ray Wang, principal analyst at Constellation Research.
“We never address the hard issues,” he told TechNewsWorld.
The tradeoff is personalization and convenience, Wang said.
“Most folks want things tailored and customized to their needs. Advertisers want to make money on clicks. So it continues.”
Questions of Time and Place
Search results can change over time, with the inclusion of time-sensitive links, for example. That factor was controlled for by having everyone search at the same time.
Location can impact search results — by including local news articles, for example. To control for that, DuckDuckGo manually checked all links, comparing them to the volunteer’s city and state, and replacing all of them with the same placeholder — “localdomain.com” for organic links and “local source” for infoboxes.
So, if two users’ results differed only by a different local domain in the same slot, that would not count as different. However, the adjustment did not significantly affect overall variation, DuckDuckGo found.
The study’s methodology and conclusions are flawed, because they are based on the assumption that any difference in search results is based on personalization, which is not true, Google told 9to5Google.
Time and location are among the factors that can lead to slight differences, and the DuckDuckGo study does not appear to have controlled for those two factors effectively, Google argued.
“The study seems to account for time and location fairly well by [using] a common domain,” Constellation’s Wang said. DuckDuckGo “did a reasonable job.”
Privacy? What Privacy?
Participants did not see the same results in private browsing mode. When randomly comparing people’s private modes to each other, there was more than double the variation than when comparing the private mode and normal mode results for the same individual, DuckDuckGo noted.
This shows that Google tailors search results regardless of browsing mode, DuckDuckGo warned.
However, “there is a slight possibility that the algorithm may be doing this and Google has not accounted for unintentional bias,” Wang suggested.
“I believe Google is trying to provide the best possible search results, and that this is an unintended consequence of that work,” Vivaldi’s von Tetzchner said.
Google “should offer an unfiltered and unbiased search results page that is easily accessible, such as when logged out, in incognito mode, or with the ‘Do Not Track’ browser setting turned on,” DuckDuckGo’s Davis suggested. “We currently offer such unfiltered search results for all users regardless of their browser configuration.”
Collecting data helps Google show consumers targeted ads, but “we show advertising based on individual search terms,” Davis noted. “We’ve been profitable since 2014, and it’s possible to thrive as a business without collecting or storing personal data.”
Consumers should “use non-Google products” and reduce their digital footprint as much as possible, he suggested.
“I use mostly Firefox and DuckDuckGo because of the privacy aspects,” Constellation’s Wang said.
Search engines should provide an “absolute” mode, he suggested, which is “what everyone sees instead of what your customized mode may look like.”
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