One after another, lobbyists from groups with names like Net Choice, Chamber of Progress and TechNet testified in a Minnesota House hearing. Then a rare thing happened in politics.
Republican and Democratic legislators joined forces to rail against some of the business practices used by the companies actually behind the groups — Google, Apple, Amazon, Twitter and other tech giants.
"We cannot wait for the federal government to take action," Rep. Kristin Robbins, R-Maple Grove, said in the hearing. "They've been saying they're going to do something for too many years."
As the battle with Big Tech moves from Washington to the states, tech companies have found they have few friends in the ranks of state legislators, who are increasingly worried about the polarizing effects of social media platforms and the potential harm for children. Minnesota's divided Legislature is coming together on bills to tamp down on their influence this year, including a nation-leading ban on social media platforms using algorithms to target user-generated content to children younger than 18.
The proposal has sparked an intense lobbying effort from tech companies and their trade association groups that have raised the issue of possible free speech violations and argued it could have the unintended consequence of keeping positive content from kids.
"Banning algorithms is not the answer because it's the algorithms that allow online services to filter out and down-rank inappropriate content and elevate and promote healthy content," said Adam Kovacevich, founder of Chamber of Progress, a trade group funded by tech companies such as Amazon, Google, Apple and Twitter. "It would be like saying we want cleaner drinking water, but then banning water filters."
Social media algorithms sort posts based on a user's data and activity to increase engagement, but they also send other content to users based on their activity.
Robbins, who is sponsoring the proposal in the House, said she was inspired to do something after reading a Wall Street Journal investigation about how algorithms fed a stream of 32,000 posts about weight loss over two months to fake bot accounts posing as teenage girls. Bots that interacted with the content were sent even more of the same content through algorithms.