My first impulse is AHrefs. It's geared towards SEO so its ratings are estimates of volume over time (in which you can view 'virality' if there is a spike in traffic).
But also, GPT-4 has a good answer for you. Check out the last option, Media Cloud. Actually includes an "Attention Over Time" chart.
Good Luck!
There isn't a single definitive resource that tracks and rates viral phenomena across various platforms and media. However, there are some resources that might come close to what you're looking for. These tools and websites often analyze and aggregate data from multiple sources to provide insights into trending topics, news stories, and online conversations. Some of these resources include:
Google Trends (trends.google.com): Google Trends allows you to explore search trends over time and by region, comparing different search terms or topics. It doesn't provide an "attention index" directly, but you can use search interest as a proxy for public attention.
NewsWhip (www.newswhip.com): NewsWhip provides insights into how news stories, viral content, and influencers are performing across social media platforms. You can explore trending content and track engagement levels, but access to more in-depth analytics and historical data requires a subscription.
BuzzSumo (www.buzzsumo.com): BuzzSumo is a content analysis and social media monitoring tool that helps identify trending topics, stories, and influencers. It offers engagement metrics and time-based filters, but full functionality requires a subscription.
CrowdTangle (www.crowdtangle.com): CrowdTangle is a social media analytics tool owned by Facebook that tracks content performance across Facebook, Instagram, Twitter, and Reddit. Access is granted to select partners and organizations, but it offers powerful insights into content virality and public attention.
Media Cloud (www.mediacloud.org): Media Cloud is an open-source platform developed by MIT and Harvard that analyzes news and public interest content. You can use it to explore trends in news coverage and attention, but it might require some technical expertise to use effectively.
Remember that these tools are not perfect and may not cover all aspects of virality or attention. They can, however, provide a good starting point to investigate trends and narratives in the public sphere.
You're actually hitting on an academically acknowledged hard limit to the number of people whose mind states you can keep track of in conversation. Typically, when there are more than 4 people, you'll see smaller groups form of 2, 3, and/or 4. It's very noticeable at big parties. (So no need to be anxious!)
Dunbar talks about it in one of my favorite papers of all time The Anatomy of Friendship. Happy to send you a copy if you're interested :D
I know this comment/thread is a decade old, but I come back to the chapter on business models multiple times a year because it's a concise overview and particularly useful in combinatoric idea generation.
Figured I'd give my thanks knowing there's a chance the author will read this comment... Thanks Josh!!
Replying to add a link to the full paper: https://www.ericz.one/aof.pdf <- note, he only mentions it in this paper.
There's a more detailed explanation in this one!
P.S. Thanks for your patience! Been a bit since I was on here.