
Kamala Harris Lost to Trump Due to TikTok -- Research Reveals How!
- Bias Rating
10% Center
- Reliability
35% ReliableAverage
- Policy Leaning
8% Center
- Politician Portrayal
-33% Negative
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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
14% Positive
- Liberal
- Conservative
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Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
56% : However, one thing is for sure, that political parties need to focus highly on social media as it is playing a stronger role in changing political sentiment.27% : A study found out that TikTok, a social media platform that is pretty influential amongst Gen Z. What is surprising is that the platform is now playing a role in changing political sentiments and creating a political Harris lost to Donald Trump because of conversion, that is voters switching sides, rather than just turnout.
*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.