[HN Gopher] Hedonometer: Average Happiness of Twitter over Time
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       Hedonometer: Average Happiness of Twitter over Time
        
       Author : catchmeifyoucan
       Score  : 68 points
       Date   : 2021-04-29 16:45 UTC (6 hours ago)
        
 (HTM) web link (hedonometer.org)
 (TXT) w3m dump (hedonometer.org)
        
       | fundamental wrote:
       | Looks like the site might have received the hug of death. Last
       | time it loaded for me the site produced a 504 error.
        
       | dmuth wrote:
       | I couldn't load the site either, but it reminds me of something I
       | built a couple of years ago that let me analyze the happiness of
       | specific Twitter users: https://github.com/dmuth/twitter-aws-
       | comprehend
       | 
       | Some interesting takeaways from my experiment:
       | 
       | - President Obama's tweets became a LOT happier once he left
       | office.
       | 
       | - Donald Trump's tweets were less negative than one might think!
       | I did some digging and found most of the "happy" tweets were made
       | by his social media team--the tweets made by him personally were
       | quite angry.
        
       | hpoe wrote:
       | Archived link
       | https://web.archive.org/web/20210429165316/https://hedonomet...
        
       | enragedcacti wrote:
       | There is a Reply All episode talking to the creator of the
       | Hedonometer. It includes the researcher turning his analysis
       | tools against the host's texting history.
       | 
       | https://gimletmedia.com/shows/reply-all/kwh96n
        
       | cyberlab wrote:
       | Site seems down for me. I remember a tool for Twitter where you
       | could automatically engage with people posting positive or
       | uplifting tweets (better known as sentiment analysis). I forget
       | the name of the tool, but it would search for any tweet with a
       | simple smiley like `:-)` plus a keyword that you pick, and it
       | would favorite it, tricking people into thinking your interaction
       | was an 'organic' one.
       | 
       | Over time Twitter naturally would have accounts with nothing but
       | performative anxiety present, as Twitter (at least for me) is
       | more an antisocial network, not a social network highlighting our
       | more positive nature (Think Instagram, and TikTok for contrast).
        
         | oxymoran wrote:
         | What in the world is positive about Instagram or Tiktok?
         | Twitter is clearly worse, but Instagram inspires nothing but
         | vapid voyeurism and tiktok very well could be an act of
         | espionage.
        
           | drusepth wrote:
           | Compared to Twitter, anything else is a shining light of
           | social media.
           | 
           | Instagram may be nothing but vapid voyeurism, but the posts
           | there are generally (fake) messages of "I am enjoying my
           | life, look at it!" My stream's a bunch of travel photos
           | and/or interesting things. Even if it's shallow or attention-
           | seeking, it's a far cry from the flood of hatred and filth
           | that spews from Twitter's fringe.
           | 
           | TikTok's a bit more varied (and feels more akin to reddit,
           | which has a lot of ups and downs), but still doesn't feel as
           | bad as Twitter.
        
         | bckr wrote:
         | > Over time Twitter naturally would have accounts with nothing
         | but performative anxiety present
         | 
         | I had this thought two days ago--that Twitter is largely a
         | repository of mental health issues on display. The next day I
         | visited a developer's Twitter profile, and it was just bad
         | jokes with a general theme of mental health. I created a new
         | profile recently in order to interact with developers but I
         | will never again enter into this performative aspect of the
         | website.
        
         | andrepd wrote:
         | > a social network highlighting our more positive nature (Think
         | Instagram, and TikTok for contrast)
         | 
         | How so?
        
       | ziml77 wrote:
       | Looks to me like 2020/2021 has some wilder spikes that other
       | years. I wonder if that's because people are much more focused on
       | Twitter during the pandemic. The site certainly makes the world
       | feel like an awful place with that stupid trending panel forcing
       | it upon your eyes.
        
         | hwbehrens wrote:
         | It seems counterintuitive that as the volume of tweets
         | increases, the variance _increases_. What could be the
         | explanation for this?
        
       | v8engine wrote:
       | Feels very US related. Twitter in India is all about COVID-19
       | second wave right now and that hasn't affected the graph even
       | though the sheer mass of English speaking Indians should have had
       | some effect. The only mention I can see is April 28, 2021
       | twentieth word 'oxygen'.
        
       | andrepd wrote:
       | Ftfy: my the results of my flawed measure of "happiness" over
       | time
        
       | karaterobot wrote:
       | My takeaway is that (ignoring holidays) negative events make
       | Twitter more unhappy than positive events make it happy. Yet
       | another reason I'm not on Twitter!
        
         | JamilD wrote:
         | There's a weird methodology quirk here. Looking at the data,
         | words like "violence" seem to directly decrease the overall
         | happiness score. Which is weird, because use of that word
         | doesn't necessarily indicate that someone is feeling less
         | happy.
         | 
         | Mentioning negative events therefore seems to _directly_
         | decrease the happiness score, so a conclusion like yours is
         | almost tautological -- when a negative event happens, people
         | talk about it, so the algorithm infers that people are unhappy.
        
           | dmos62 wrote:
           | I think that talking about upsetting things does steer
           | conversations in upsetting ways. A lot of things happen all
           | the time. The choice of what one talks about is informative.
           | You can frame an event in both negative and positive ways. If
           | you mention violence, but don't mention togetherness,
           | solidarity, courage (or some other positive words), that's
           | probably a negative framing.
           | 
           | What's more, it's misguiding to say that people talk about
           | things that happen. People talk about some of the things that
           | happen. Media plays a big role in the selection. People also
           | tend to adopt framings. Which is to say that people's
           | happiness does depend on what's being talked about, if we
           | agree that happiness is the positivity of thoughts held.
        
         | meowkit wrote:
         | That's a human thing, not a twitter thing.
         | 
         | https://en.m.wikipedia.org/wiki/Negativity_bias
        
           | karaterobot wrote:
           | Agreed. I find that Twitter (et al.) just amplify existing
           | human biases and psychological effects like that. To totally
           | misquote Steve Jobs, social media is like a bicycle for
           | feeling bad.
        
             | dmos62 wrote:
             | > To totally misquote Steve Jobs, social media is like a
             | bicycle for feeling bad.
             | 
             | I like that. What's the actual quote?
             | 
             | Edit: it's probably this:
             | 
             | > ...the computer is the most remarkable tool that we've
             | ever come up with. It's the equivalent of a bicycle for our
             | minds.
        
               | karaterobot wrote:
               | That's the one!
        
       | masona wrote:
       | Reminds me of Jonathan Harris's 2007 project 'We Feel Fine.'
       | 
       | http://wefeelfine.org/methodology.html
       | 
       | When I did some work on sentiment analysis using tools like
       | Crimson Hexagon, it always felt like the data was skewed since
       | what people post is different from what they say, which itself is
       | different from what they do. Might need to be some kind of
       | corrective filter that includes 'uncounted emotion' as a
       | baseline.
        
         | andrepd wrote:
         | I mean the elephant in the room is that that "sentiment
         | analysis" is flawed and crude and does not correlate in any
         | meaningful way with actually "happiness".
        
       | rkagerer wrote:
       | Interesting to see how much more volatility it shows the last few
       | years.
        
       | ChrisArchitect wrote:
       | upwards of 8 years old site but here's previous discussion from a
       | couple years ago:
       | 
       | https://news.ycombinator.com/item?id=20705755
        
       | guenthert wrote:
       | Hugged to death already :(
        
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       (page generated 2021-04-29 23:01 UTC)