social media influence on XYZ

[gepr]

So, in our recent discussion of the GameStop kerfuffle, I felt the abstracted economics was interfering with our ability to see how social media (and population density, generally) is changing all our disciplines. It was especially obscured by the impact of ML on finance. But here's a new installment to the thread:

Evidence of an impending breakup may exist in everyday conversation – months before either partner realizes their relationship is tanking
https://theconversation.com/evidence-of-an-impending-breakup-may-exist-in-everyday-conversation-months-before-either-partner-realizes-their-relationship-is-tanking-154338

> Historically, this hasn’t been feasible. But the study of long-term relationships is beginning to change with the advent of social media platforms such as Twitter, Facebook and Reddit. An increasing number of people are now chronicling their daily lives on these platforms, which allows researchers to look at how people cope with upheavals such as breakups both before and after the event. The analysis of people’s daily language can reveal information about their shifting emotions, thinking styles and connections with others.
>
> One popular social media platform, Reddit, has designed an online infrastructure that mirrors the way we socialize in real life.



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[Marcus G. Daniels]

Possibly an interesting inference for the subset of people that are transparently social on social media.   As opposed to the people that don't use social media, or only use it reluctantly for professional things, or use it to exaggerate or pose themselves or their family.    These other groups will have little or zero revealed.  Annoyingly, the measured will tend to be converted into the normal.

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Subject: [FRIAM] social media influence on XYZ


So, in our recent discussion of the GameStop kerfuffle, I felt the abstracted economics was interfering with our ability to see how social media (and population density, generally) is changing all our disciplines. It was especially obscured by the impact of ML on finance. But here's a new installment to the thread:

Evidence of an impending breakup may exist in everyday conversation – months before either partner realizes their relationship is tanking
https://theconversation.com/evidence-of-an-impending-breakup-may-exist-in-everyday-conversation-months-before-either-partner-realizes-their-relationship-is-tanking-154338

> Historically, this hasn’t been feasible. But the study of long-term relationships is beginning to change with the advent of social media platforms such as Twitter, Facebook and Reddit. An increasing number of people are now chronicling their daily lives on these platforms, which allows researchers to look at how people cope with upheavals such as breakups both before and after the event. The analysis of people’s daily language can reveal information about their shifting emotions, thinking styles and connections with others.
>
> One popular social media platform, Reddit, has designed an online infrastructure that mirrors the way we socialize in real life.



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[gepr]

Yeah, sample bias is always a risk, just like it was with the GameStop thing. But I think it slightly misses the point. Even though we think of social media as something we voluntarily participate in, it goes way beyond that, from CCD cameras all over the city to popularity-based recommendation algorithms, face recognition scraping, Google maps location tracking, etc.

E.g. The Jester used to have a sentiment analysis tool that examined people's online writings, tweets, etc. that assessed whether or not that person had violent tendencies. And, as I commented before, I'd like to know whether Tom Trenchard is an alias for S. Adam Seagrave, which I think could be determined with techniques similar to those used here.

On 2/9/21 12:21 PM, Marcus Daniels wrote:
> Possibly an interesting inference for the subset of people that are transparently social on social media.   As opposed to the people that don't use social media, or only use it reluctantly for professional things, or use it to exaggerate or pose themselves or their family.    These other groups will have little or zero revealed.  Annoyingly, the measured will tend to be converted into the normal.

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