• 4 Posts
  • 215 Comments
Joined 2 年前
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Cake day: 2023年7月1日

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  • You don’t analyze the text necessary, you analyze the heuristics, behavioral patterns, sentiment…etc It’s data analysis and signal processing.

    You, as a user, probably can’t. Because you lack information that the platform itself is in a position to gather and aggregate that data.

    There’s a science to it, and it’s not perfect. Some companies keep their solutions guarded because of the time and money required to mature their systems & ML models to identify artificial behavior.

    But it requires mature tooling at the very least, and Lemmy has essentially none of that.




  • Welcome to the lowest common denominator.

    It’s the lower half of the bell curve that you’re experiencing. The same half that’s more inclined to be louder about their beliefs, beliefs that are often illogical, inconsistent, and misinformed. More inclined to insult, invalidate, and act in bad faith during discussions.

    This drowns out quality discussion.

    All communities will naturally move towards the lowest common denominator, they will always lose their niche. (Really this is an example of entropy). The only way to prevent this is active moderation that dutifully upholds community values.

    /r/AskHistorians is a great example of this.







  • Yep. You essentially summed up my point.

    There’s a difference between data display for academia and data display for the general public.

    The general public is generally not well educated on understanding the data that’s presented to them. Big change in line up or down regardless of scale means big change. It could be from 100 to 100.8, but if the scale is zoomed in then that could be presented as a +80% change.

    And often is and sometimes with the axes removed and shown on the news specifically to be manipulative.

    I really don’t understand why I’m being downvoted above… This was literally part of my grade school education on identifying and avoiding misinformation. And later on, around how the general public understands data visualizations. They are largely understood at a glance and taken at face value without reading the axes.

    This is a easy way to push misinformation. Not by actually pushing real misinformation but by taking advantage of the general public’s tendency to not read it carefully.

    Which is manipulative. Which is why it’s taught in some places as part of the standard educational curriculum…