Key Sentence:
- According to its research, Twitter Algorithm Favours amplifies tweets from right-wing political parties and news agencies more than left.
- The social media giant said it discovered while studying how its algorithms recommend political content to consumers.
But he said he didn’t know why and said it was a “harder answer. Twitter has previously faced accusations of anti-conservative bias on its platform. The Twitter poll looked at tweets from political parties and users sharing content from news agencies in seven countries worldwide. Canada, France, Germany, Japan, Spain, the UK, and the US.
It analyzes millions of tweets sent between April 1 and August 15, 2020.
The researchers Twitter Algorithm Favours then used the data to see which tweets were amplified more in the algorithmically ordered feed than in the reverse-chronological feed. Which both users could use. They found that the right’s principal parties and political channels enjoyed higher levels of “algorithmic reinforcement” than their counterparts on the left.
Roman Chowdhury, director of Twitter’s meta team (machine learning, ethics, transparency, and accountability). Said the company’s next step was to find the cause. “In six out of seven countries, tweets published by elected representatives on the right were algorithmically amplified more than left-wing politicians. So news hopes to the right… see more reinforcements than the left,” he said.
Determining why this observed pattern occurs is a much more difficult question and something that Meta will explore. The researchers note that the difference in profits may be due to political parties’ “different strategies” to reach the platform’s audience. They also said the results did not show that its algorithm evoked “extreme ideology more than the voices of the political masses. Another common concern voiced by Twitter critics.
This isn’t the first time Twitter has highlighted a clear bias in its algorithms.
In April, the platform announced that it was researching. Whether its algorithm contributed to the “accidental damage.” In May, the company announced that its auto-framing had a significant problem. Making whites over blacks and women over men.