I decided to use Wikipedia pages to analyze how technology has evolved over the past 17 years (since Wikipedia came into existence). I wanted to analyze how technology that has been around for a long time – such as the radio – has changed over time and how more recent and emerging technologies have changed. I am interested in this topic because I use a lot of emerging technologies that are constantly changing and I wanted to see how these technologies compare to old ones as well as try to figure out what point in time changes in technologies were the most frequent – that would help me understand the pivoting point of technological advancements.
I grabbed the pages from Wikipedia and tried to create a diverse set. What I mean by a diverse set is that I chose technologies from different fields with a particular focus on telecommunication because I feel like the way we connect has changed drastically over the past couple decades. Other pages chosen range from technologies in medicine, personal computers, memory, entertainment, gaming, artificial intelligence etc.
I tried to order the pages by how recent the technologies are – but this is not perfect. At the top you will find more recent and emerging technologies and as you go down the list you will find technologies that have existed for some time now. I decided to do that because I am expecting to see a pattern in emerging technologies vs old/existing technologies and this seemed like the natural order to go through.
There were some interesting finds in the collection of pages. I’ll point out some that really intrigued me:
It was interesting to note that certain words started appearing more often as Wikipedia pages got revised while other words would become less popular and this had mostly to do with how the technologies were advancing and/or changing with time. There did not seem to be much of a time lag for that too. For example, the word ‘neural’ became a lot more frequent for pages related to artificial intelligence models as neural networks became increasingly more popular and the word ‘nokia’ was very popular in the time when the company was dominating the mobile phone market.
The number of characters used in Wikipedia pages also had a positive correlation with more widespread real life applications of those technologies such as self-driving cars but that is a natural conclusion I would have reached anyway. What’s more interesting is how the introductory paragraphs changed over time for certain technologies. For devices such as the mobile phone, with increasing functionality, the introductory paragraphs would just add more information but for technologies like broadband the introductory paragraph had different definitions for the technology at different times. It’s also interesting how definitions changed as technologies became less theoretical and started having real life applications.
Section headers for technologies seem to indicate the popularity and interest of the general population in those particular areas of the technology. For example, non IBM compatible computers seemed something that the general population would be interested in knowing at a time when IBM was dominating the market and how Internet Access was a separate section in the early 2000s when people actually had less access to the internet but was later removed and placed under a different section header as getting access to the internet became easier and the demand for information on internet access also decreased. The addition of the Economics section header for cryptocurrencies in 2013 also testifies to this hypothesis as people became more interested in cryptocurrencies as forms of investment.
The difference between emerging/new and existing/old technologies is mostly evident in the introductory paragraphs which were fairly constant or being appended to for existing technologies but would change drastically for emerging technologies especially ones that were theoretical at some point in time before real life applications came out. The top words list for existing technologies show how different aspects of those technologies were more popular at different times while buzzwords were more popular for emerging technologies such as speech recognition and self-driving cars.