Re:Hacker News sentiment towards Big Tech companies
by dmarchand90 on Sunday January 17, 2021 @02:13PM
(#25813854)
I would just have one graph with all the companies. You're using one graph per company to show both sentiment and number of mentions, but only the former is interesting.
Like others have written bar plot is not ideal here, xy-curve plot would be much clearer.
Re:Hacker News sentiment towards Big Tech companies
by rightbyte on Sunday January 17, 2021 @01:55PM
(#25813671)
Ye quite worthless graphs without explaination. Also the sentiment and the amount of comments should just be two lines not colorcoded bars. xyy-plot.
How do you even measure sentiment? The amount of curse words?
Re:Hacker News sentiment towards Big Tech companies
by ardy42 on Sunday January 17, 2021 @05:29PM
(#25815851)
> Ye quite worthless graphs without explaination. Also the sentiment and the amount of comments should just be two lines not colorcoded bars. xyy-plot.
You can kind of infer that blue means bad and yellow means good with some background info:
Facebook: yellower > quote bluer, starting around 2017 (coincides with a lot of criticism of disinformation spreading there/Cambridge Analytica).
MSFT: bluer -> yellower, guessing this is linked to them being less hostile to open source, etc.
Amazon: yellower -> quite bluer
Google: yellower -> bluer
> How do you even measure sentiment? The amount of curse words?
Re:Hacker News sentiment towards Big Tech companies
by maniflames on Sunday January 17, 2021 @01:54PM
(#25813664)
Right? Effectively these graphs do not communicate anything other than the numbers of comments on big tech companies over time.
- what do the colors represent?
- are marginally higher numbers marginally better/worse sentiment, statistically significantly better/worse sentiment, etc?
- what does "sentiment" actually measure? ("sentiment related" adjectives in posts, vs. "objective" adjectives?)
This is basically just detached data that's getting upvoted because... it's... pretty? The page as posted has literally no information, it just shows uninterpretable data that no one can draw any conclusions from.