Hasta La Gadget!

A government panel of experts has endorsed extra doses of all three of the nation’s coronavirus vaccines.

October’s Xbox update is here, and while it doesn’t include a ton of new features, the few that it’s shipping are big ones indeed. Chief among the new features in this update is the new 4K dashboard for Xbox Series X. Early adopters have been waiting for this feature for months, but it’s not the only notable feature included in … Continue reading

Twitter said in April that it was undertaking a new effort to study algorithmic fairness on its platform and whether its algorithms contribute to “unintentional harms.” As part of that work, the company promised to study the political leanings of its content recommendations. Now, the company has published its initial findings. According to Twitter’s research team, the company’s timeline algorithm amplifies content from the “political right” in six of the seven countries it studied.

The research looked at two issues: whether the algorithmic timeline amplified political content from elected officials, and whether some political groups received a greater amount of amplification. The researchers used tweets from news outlets and elected officials in seven countries (Canada, France, Germany, Japan, Spain, the United Kingdom, and the United States) to conduct the analysis, which they said was the first of its kind for Twitter.

“Tweets about political content from elected officials, regardless of party or whether the party is in power, do see algorithmic amplification when compared to political content on the reverse chronological timeline,” Twitter’s Rumman Chowdhury wrote about the research. “In 6 out of 7 countries, Tweets posted by political right elected officials are algorithmically amplified more than the political left. Right-leaning news outlets (defined by 3rd parties), see greater amplification compared to left-leaning.”

Crucially, as Chowdhury points out to Protocol, it’s not yet clear why this is happening. In the paper, the researchers posit that the difference in amplification could be a result of political parties pursuing “different strategies on Twitter.” But the team said that more research would be needed to fully understand the cause.

While the findings are likely to raise some eyebrows, Chowdhury also notes that “algorithmic amplification is not problematic by default.” The researchers further point out that their findings “does not support the hypothesis that algorithmic personalization amplifies extreme ideologies more than mainstream political voices.”

But at the very least, the research would seem to further debunk the notion that Twitter is biased against conservatives. The research also offers an intriguing look at how a tech platform can study the unintentional effects of its algorithms. Facebook, which has come under pressure to make more of its own research public, has defended its algorithms even as a whistleblower has suggested the company should move back to a chronological timeline.

Twitter’s research is part of a broader effort by Twitter to uncover bias and other issues in its algorithms. The company has also published research about its image cropping algorithm and started a bug bounty program to find bias in its platform.

Facing increased regulatory pressure, on Thursday, Google moved to further slash the fees it collects from downloads of its subscription-based Play Store offerings for Android.

Read more…