Currently, perceiving the world through only one division, it would be beneficial to increase the number of divisions as far as cognitive abilities allow.
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The issue lies in viewing the world through a single binary division like “Trump vs. Harris”.
- It would be more beneficial to perceive things through 100 different divisions such as “young generation vs. elderly,” “rural vs. urban,” or “wealthy vs. middle class vs. poor” to recognize the complexity of the current situation.
- This can be visualized as unbundling the division summarized in a single bit like “Trump vs. Harris”.
- It is akin to adopting a policy-based attitude of “this or that” stance.
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Recognizing the world through 100 different divisions can prevent a feedback loop of focusing on a single division. Instead of aiming to eliminate divisions and echo chambers, the idea is to shift the mindset towards creating 100 divisions. Micro has friends and foes, while macro is smooth is a similar concept.
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Rather than advocating to “stop fighting,” the concept is to “let’s fight today over austerity vs. expansionary fiscal policy. Tomorrow, let’s argue about supporting or opposing selective separate surnames for married couples. The day after tomorrow, let’s quarrel over supporting or opposing military reinforcement.”
- It is a positive approach towards fighting.
- Drawing parallels with the game [Splatoon].
- Form three groups with one-third of the participants each through pre-voting and play [Three Kingdoms] every week.
- Perhaps binary opposition and quarreling are more appealing to the general public.
- It is common in sports as well.
- The side that converts more members from the opposing faction wins.
- It’s also beneficial to represent the power dynamics in a line graph.
- I see the point.
- [Tricara Battle] might be a bit confusing.
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[Does recommendation also influence ideology: Focus on the differences in political positions between topics in news recommendations | AI-SCHOLAR | AI: (Artificial Intelligence) paper/technical information media]
- This aligns closely with the intended direction.
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Political positions and ideologies, such as “this person is conservative” or “that person is liberal,” tend to be mistakenly perceived as uniform, regardless of the topic, once an individual is identified. However, research targeting Americans has shown that individuals hold diverse political positions depending on the topic, for example, being liberal on abortion but conservative on immigration.
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The concern here is the potential for news recommendations to influence the political stance towards newly emerged topics, based on past access logs, leading to bias.
- [Reducing Cross-Topic Political Homogenization in Content-Based News Recommendation]
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Since vectors are represented as a combination of multiple components, it seems beneficial to create various binary oppositions.