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NeutraLens highlights potentially biased comments on Reddit, helping users navigate discussions with a more balanced perspective. Tired of toxic comments ruining your Reddit experience? NeutraLens is here to help you navigate the choppy waters of online discussions with our Chrome extension. This tool empowers you to identify potentially biased and toxic comments, ensuring you can engage in meaningful conversations without getting dragged down by negativity. -How NeutraLens Works- NeutraLens analyzes Reddit comments for signs of personal bias and toxicity, providing subtle color hints next to each comment. Hover over a comment to get a quick breakdown of the analysis. -The Analysis Process- NeutraLens examines the tone and language used in comments, looking for indicators such as: • Aggressive or inflammatory language • Respectful disagreement • Personal attacks • Constructive criticism • Emotional manipulation Comments are then sorted into categories: • Constructive - Blue • Neutral - Light Blue • Mildly Biased - Yellow • Toxic - Orange • Very Toxic - Dark Orange Your Personal Toxicity Filter NeutraLens acts like a toxicity filter for your Reddit browsing. It helps you focus on valuable discussions and avoid getting caught up in unnecessary negativity. Give it a try and see how it enhances your Reddit experience! Your Data is Safe NeutraLens prioritizes your privacy. We don't save your data or monitor your browsing habits. Remember: NeutraLens doesn't judge the factual accuracy of comments. Instead, it focuses on the tone and civility of the discussion. A politely stated opinion, even if incorrect, won't be flagged as toxic. The goal is to help users avoid personally biased and toxic interactions, not to fact-check content.
Aug 12, 2024
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
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Has promo video
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Languages
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Developer website
Listing exposes a developer website URL.
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Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
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Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.