Datasets:
Sub-tasks:
multi-class-classification
Languages:
English
Size:
1K<n<10K
Tags:
natural-language-understanding
ideology classification
text classification
natural language processing
License:
EricR401S
commited on
Commit
•
2bbff2a
1
Parent(s):
865df1a
done
Browse files
README.md
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## Dataset Creation
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###
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With the rise of the loneliness epidemic and the radicalization of internet content pitting men and women against each other, it is important to seek understanding about the roots of the problem. Depending on whom you ask, you'll get a plethora of answers. Jordan Peterson describes it as some type of post-modernist feminist liberalism problem. The Andrew Tates and other conservative archetypes blame the loss of traditionalism. Others blame dating apps and its selection bias effects. The answer may be a combination of these or somewhere in the middle.
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More specifically, within each of the major pill ideologies, with the exception of the BlackPill, in the most extremist and mild settings, men blame women to some or large degrees, and women blame men to large degrees. As for the latter, it is very common to witness social media trends of women expressing distaste and dissapointing in men, and this has been ocurring for a few years.
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It has become quite difficult to isolate less extreme variants of the ideologies from the base variants, and it has also become difficult to sustain academic conversations regarding these topics due to public scrutiny. We have to start somewhere, as can be evidenced by the efforts of all sorts of psychiatrists (Dr. K, Jordan Peterson) and scientists/researchers (Dr. Tali Sharot, Prof. Scott Galloway) around the world.
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### Curation Rationale
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Now more than ever, polarization is a topic that has gone beyond politics and is now deeply embedded in dating dynamics(which have also become proxies for politics - conservative/liberal dynamics). To make matters worse, especially in the case of male spaces, as substantiated by research and media coverage in recent years, have only been able to exist on the internet due to scrutiny and silencing of male voices, and counter-spaces have emerged to challenge the views held in the differing ideologies. The same extends to the other groups, where speaking publicly on such matters earns weird looks at best and public shame and social exile at worst. In the current social climate, the dominant ideology is most commonly labeled as mild blue pill, occassionally with a tinge of Black Pill.
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In contrast, works of Dr. Alok Kanojia (Dr.K, Healthy Gamer Foundation), serve as a basis to understand the individual behind the pain and help said individual build human connections worth having. To that end, what better way to understand people than to listen to them directly, on a platform's subreddits that were created solely for them to share their thoughts, unfiltered thanks to the anonymity. Can we derive some understanding over the multiple disenfranchised groups from this dataset? Can such understanding be published to ultimately help people become better people, sons/daughters, spouses and partners.
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### Source Data
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Each record contains a reddit post, a couple hundred per subreddit, and has a key title and a post with words to display the intended message by the author. The authors will remain anonymous, as they do not deserve persecution for their thoughts, whether you disagree with them or not.
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## Dataset Creation
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### Context of the Pill Ideologies
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With the rise of the male loneliness epidemic and the radicalization of internet content pitting men and women against each other, it is important to seek understanding about the roots of the problem. Depending on whom you ask, you'll get a plethora of answers. Jordan Peterson describes it as some type of post-modernist feminist liberalism problem. The Andrew Tates and other conservative archetypes blame the loss of traditionalism. Others blame dating apps and its selection bias effects. The answer may be a combination of these or somewhere in the middle.
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More specifically, within each of the major pill ideologies, with the exception of the BlackPill, in the most extremist and mild settings, men blame women to some or large degrees, and women blame men to large degrees. As for the latter, it is very common to witness social media trends of women expressing distaste and dissapointing in men, and this has been ocurring for a few years.
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It has become quite difficult to isolate less extreme variants of the ideologies from the base variants, and it has also become difficult to sustain academic conversations regarding these topics due to public scrutiny. We have to start somewhere, as can be evidenced by the efforts of all sorts of psychiatrists (Dr. K, Jordan Peterson) and scientists/researchers (Dr. Tali Sharot, Prof. Scott Galloway) around the world.
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### Curation Rationale : Why This Dataset?
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Now more than ever, polarization is a topic that has gone beyond politics and is now deeply embedded in dating dynamics(which have also become proxies for politics - conservative/liberal dynamics). To make matters worse, especially in the case of male spaces, as substantiated by research and media coverage in recent years, have only been able to exist on the internet due to scrutiny and silencing of male voices, and counter-spaces have emerged to challenge the views held in the differing ideologies. The same extends to the other groups, where speaking publicly on such matters earns weird looks at best and public shame and social exile at worst. In the current social climate, the dominant ideology is most commonly labeled as mild blue pill, occassionally with a tinge of Black Pill.
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In contrast, works of Dr. Alok Kanojia (Dr.K, Healthy Gamer Foundation), serve as a basis to understand the individual behind the pain and help said individual build human connections worth having. To that end, what better way to understand people than to listen to them directly, on a platform's subreddits that were created solely for them to share their thoughts, unfiltered thanks to the anonymity. Can we derive some understanding over the multiple disenfranchised groups from this dataset? Can such understanding be published to ultimately help people become better people, sons/daughters, spouses and partners.
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The purpose of this dataset is to help people by aiding understanding of the different groups.
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### Source Data
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Each record contains a reddit post, a couple hundred per subreddit, and has a key title and a post with words to display the intended message by the author. The authors will remain anonymous, as they do not deserve persecution for their thoughts, whether you disagree with them or not.
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