My first non-textual is painting I created out of acrylic paint, markers, and sharpies. I am not much of an artist but much of Humanities has been getting outside of my comfort zone and trying something new, so I attempted to create an abstract painting.
Throughout this portfolio I have discussed the duality of language, in that it has the ability to unite but also to divide. In this painting, I used 4 different colors to play with this idea. In the painting, I wanted the two profiles to contain the two colors of the background of the other profile opposite of it. I wanted the two profiles being inverse colors to demonstrate that through communication we can bridge differences in opinions, backgrounds, and any perspectives that ordinarily divides us. However, notice how the colors of the profiles contrast from the background that surrounds them. I wanted the profiles to standout from their background to demonstrate how speech can exclude. People are often boxed into an identity or a label when they speak their mind. I tried to capture our society’s frequent labeling of those with different opinions than us by having the profiles stand out from each other. I created this painting, with America’s response to the Coronavirus pandemic in mind. In some ways, the new language of social distancing, guidelines, etc has brought this country to fight a common cause. Conversely, this same pandemic has brought endless arguments over when the country should open up and the effects this shut down has had. In this scenario, voicing your opinion can lead you to be excluded and stereotyped by your opinion.
These opinions are only how I see the painting, I encourage you to formulate your own opinion on what this painting represents to you. My intention for having the two profiles upside down from each other was for the viewer to have the ability to view the painting from many different angles.
For my next non textual I designed a computer program to determine the sentiment around the tweets containing a specified keyword. The program will prompt the user to enter a word or phrase, and the program will retrieve 100 random tweets containing the specified word/phrase and determine the average sentiment score of the tweets.
A sentiment score is determined from a assigning sentiment values to different words. For example, “accused” has a sentiment score of -2 and “liked”. These values are added up for every tweet and then divided by the amount of tweets to get the average sentiment score.
Above are some average sentiment scores for some different searches that I performed. On the left I searched words from our course to see what the connotation of these words was online and on the right I searched some words that are very during this pandemic outbreak. The lowest number indicates the topic has a poor public opinion and the higher numbers indicates the topic has a good public opinion.
This computer program relates to my theme because it demonstrates the power of social media in today’s world. In all the the other revolutions we have looked at in this portfolio, social media wasn’t invented or the presence that it today. With social media we have the platform to broadcast our opinions and have it be heard. Social media has completely changed how we communicate with each other. With one account, we are able to capture the attention of the entire world. Could this change how the next revolution begins?