
Governments across the world be warned. Gen Z are learning how to protest
- Bias Rating
- Reliability
35% ReliableAverage
- Policy Leaning
10% Center
- Politician Portrayal
N/A
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Bias Score Analysis
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
-29% Negative
- Liberal
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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Contributing sentiments towards policy:
51% : Protesters drew inspiration from successful anti-government movements elsewhere in South Asia -- Sri Lanka in 2022 and Bangladesh in 2024 -- which led to the ouster of incumbent regimes.42% : Though their specific demands differ, most of these protests have been sparked by government overreach or neglect.
42% : In Nepal, protesters hung the same flag on the gates of the Singha Durbar, the seat of the Nepalese government, and on ministries, many of which were torched in protests.
41% : In Peru, protests over a pension law exploded into broader demands, including action to tackle rising insecurity and widespread corruption in the government.
40% : Protest then becomes the logical outlet when institutional channels feel blocked," said Sam Nadel, director of Social Change Lab, a U.K.-based nonprofit that researches protests and social movements.
37% : Boluarte had been under investigation for months over various allegations including bribery and involvement in a deadly crackdown on protesters in 2022.
35% : "In my case, it's outrage over abuse of power, corruption, the deaths," Tafur said, referring to the sharp rise in murders and extortion plaguing the South American country since 2017, amid new laws that have weakened efforts to fight crime.
*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.