Author: Daniel  Crascenzo  Perriello

Major: English

Graduation Year: 2016

Thesis Advisor: Charlsye Smith Diaz

Description of Publication: For my Honors thesis, I created a coding system that sorts tweets in a manner that allows for observation of what forms of content and audience is most successful in gaining impressions and engagements, two metrics Twitter uses to measure success. My data set includes all 836 tweets from @Bulbagarden in 2015, including direct replies. During this timeframe, four significant events occurred that could have influenced the success of the tweets in the dataset: Nintendo released a new console (the New Nintendo 3DS) and on three separate occasions, Nintendo released spin-off Pokemon games. I used qualitative analysis to examine the relationship between the audience and content tags I assigned the tweets, measuring the variance between the tags. The system I created for examination of the success of tweets is universal and can be applied to any account.

Location of Publication:

• fogler
• reynolds

URL to Thesis: