Yeah, no shit

During this same period, these companies have been laying off people to create savings. (https://layoffhedge.com/company/nestle)

And where are these savings going? Into AI Companies as mentioned in the first article:

That has seen it leverage AI across its marketing and innovation processes. It has also reduced the “non-working” (the development cost) part of its media spend to around 20% from a previous figure that was close to 25%

The senior management at most companies are heavily invested in the AI trade and are pushing it, regardless of whether it makes your bread more expensive or you lose your job altogether.

Well, that's neat too.

Reddit can use this kind of data to predict what you may like or what your interests may be. They obviously like Meta have very sophisticated targeting algorithms, but here is a simplified example: Find Similar Subreddits — Audience Overlap Graph Tool | Anvaka

Breakdown by countries. USA is ~10M. in total 23M conversations have geography data attached, out of ~53M total mentions for the same period.

Neat.

I work in consumer insights for a global CPG company. Social listening is just one type of consumer research we do.

Neat. Are you a sociologist, or working with sociologists or a more data arm type of professionals?

This is very popular in the corporate and content creator world. We use it to identify industry trends, and for consumer behaviour research.

This can inform what kind of content is published online, which are the trending topics, which influencers to collaborate with, what claims and product changes need to be made, etc etc.

If you spend enough time, you can get some really good insights. There are agencies whose sole job is this kind of work.

That's interesting.

I worked on this same type of thing with professors at my university in 2020 and the issues we had was the data was becoming useless, as it was so easy to manipulate.

There are standard tools available for this, I am using Brandwatch. I have excluded some known bots, but those are basically automods on Reddit.

We do control for other kinds of bot activity, for example we know bots post promos and deals on Twitter and Reddit for affiliate marketing reasons, and we exclude them using hashtags known to be used for this. But other than that if you are referring to misinformation bots, in my experience that is a much smaller problem. I had run an analysis on r/conservative subreddit when the Yandex data center news broke and it did not not have visible impact on posting activity on that sub.

It's global data, but US audiences as well as events drive the conversations.

How are you doing it? Content scraping and sentiment analysis?

How do you control for bots/malicious actors?

Yes global English language data

Needs more context.

If this is about the US, elections generate uncertainty, because people aren't certain about what economic policy will be pursued until after the elections.

Where is this? Global?

But there is a key difference, Recessionary fears were higher in April '25 but right now Inflation is a much bigger issue.

The final tally will be closer to $11 trillion.

The OG local model.

🔥🔥🔥🙌🔥🔥🔥

Better 1 trillion today than 2 trillion tomorrow I guess

It's inevitable so just start using your own gray matter or be left behind.

I love the smell of fresh roasted shareholder value in the morning.

I guess there are just some people that would rather have 100% control over a $300 billion economy than 1% control over a $30 trillion economy. But who are these people? This is the question we Musk ask ourselves.

I learned some new terms from that site so thanks. It allowed me to find this which has US data for the real income growth of different wage groups. https://www.bea.gov/sites/default/files/2026-05/growth-incidence-curves.pdf