'They're losing a generation': How a possible TikTok ban could reshape political engagement - The Boston Globe
- Bias Rating
4% Center
- Reliability
85% ReliableGood
- Policy Leaning
-4% Center
- Politician Portrayal
11% Positive
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The A.I. bias rating includes policy and politician portrayal leanings based on the author’s tone found in the article using machine learning. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral.
Sentiments
4% Positive
- Liberal
- Conservative
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Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
64% : "I've heard from thousands of users in Massachusetts and across the country that want to stop this ban," he said.62% : During his campaign, Trump changed his position regarding the platform as he courted tech donors and saw increasing support from users.
61% : Political content proliferated on TikTok over the past year, from the pro-Harris "brat summer" memes moment after her campaign launched, to viral videos of Trump at United Fighting Championship events and serving McDonald's fries.
60% : "In this fragmented media and platform landscape, we've got to use any kind of lifeline that we're given to reach voters, so it was a very savvy, smart move on his campaign's part," Wilson said of Trump joining TikTok.
59% : "It's a major source of information and income for many people ... and so my intent is to give more time to the process so that we can get a result that works for everybody.
55% : About 25 percent of young voters ages 18-34 named TikTok as one of their primary sources for political information in a recent survey from Tufts University's Center for Information & Research on Civic Learning and Engagement, or CIRCLE.
23% : Trump, who previously backed banning TikTok, recently indicated he may seek to delay the ban after taking office.
*Our bias meter rating uses data science including sentiment analysis, machine learning and our proprietary algorithm for determining biases in news articles. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral. The rating is an independent analysis and is not affiliated nor sponsored by the news source or any other organization.