As the holiday season approaches, my independent study on Game Theory is also coming to an end. In my last post, I would like to take the opportunity to reflect on my work with Game Theory this past semester, some lessons I’ve learnt, and my plan for the coming weeks. Continue reading
On October 2nd 2017 a Q&A about the work I’ve been doing was posed on Vice News. It was later added to their national snapchat story. It’s hard to say how many people saw the article but this was national coverage which means a TON of people saw it all across the country and perhaps the world.
Let’s look at the numbers we do have:
We can use Facebook’s article tracking feature to see how many times it was simply shared on the popular social media site. In the past two weeks it has been shared by nearly 2,000 people and popular pages.
I don’t have any way to quantify any other post-based social media websites like twitter, but this gives an audience rage on one.
We can however extract a few numbers from Snapchat’s stories. Vice News is one of the most popular snapchat stories, and while the app does not release official viewership counts, NBC released their own count earlier this year.
Read more: Quakerism’s Influence on my Activism – KC
According to Variety, the multi-media giant garnered a whopping 29 million views in the first month of starting their new snapchat story. While this number is probably inflated because of first month promotion, it allows us to see the amount of people who are tuning into a specific story – a new one at that.
It is safe to say that over a hundred thousand people saw the story on Vice. We don’t have any way of quantifying the number of people who then chose to read the article, but they were all able to see this video:
So why do these numbers matter? It’s simple, good press is one of the most crucial parts of any organization or movement. Over the past two weeks since my article dropped, my mailbox has been flooded with new people wanting to get involved. Leading activist in my field have begun reaching out to partner.
Read more: Timing is an Art Form – KC
I’m really excited about working with these people and continuing to build my organization. To those trying to build something new, I suggest you start working on news coverage. Reach out to local reporters or people who frequently write about related topics. Start sending press-releases when new things happen inside your organization.
These kinds of articles will help propel your message and build a wider audience.
My interview about Keystone Coalition for Advancing Sex Education was just published in Vice News’ Broadly section today titled “This Teen is Paving the Way for LGBTQ Inclusive Sex Ed in Schools”. The following post is a follow-up on the interview, which you can read here.
One of the questions I was asked for my Q&A was “Westtown is a Quaker school. Were you raised Quaker? If so, how has that influenced your path regarding Keystone CASE (if at all)? If not, how has your Quaker schooling influenced your path in any way (if at all)?” Continue reading
As mentioned before, we will be discussing artificial neural networks in this blog. Being a significant subject in the field of supervised machine learning, neural networks excel at solving classification problems, and, when combined with convolution integrals, are the most popular model for image classification tasks. Continue reading
Today, I’m going to examine with you, in the lens of Game Theory, some of the most memorable times at Westtown, Community Weekend Events!
As we all know, as a boarder at Westtown, we are required to attend four community weekend events each year. In these events, we have the common goal to have a great time and build a tighter community. But, what makes these events fun? Continue reading
You might remember linear regression from statistics as a method to produce a linear equation that models the relationship between two variables. Not surprisingly, linear regression is quite similar in machine learning, except that the focus is on the prediction rather than the interpretation of data. Regression is a supervised learning algorithm (if you remember from my previous blog) that predicts real-valued output when given an input. In this blog post, I will discuss the model representation of simple linear regression and introduce its cost function.
As we discussed in the previous post, machine learning is one of the main branches of artificial intelligence, in which we aim to build a rational agent. Machine learning is essential to implementation of artificial intelligence, for it allows agents to adapt to different scenarios, as well as predict changes in evolving environment around them. Continue reading