
Social media has become a large part of today’s pop culture and keeping up with what is going on not only in our social circles, but around the world. It has given many a platform to unite their causes, build fandoms, and share their commentary with the world. A tool in helping group posts together or give commentary on a thought is the hashtag. In this paper I explore the evaluative roles of hashtags in social media discourse, specifically on Twitter. I use a sample of randomly selected tweets from the Twitter API stream I collected and compiled myself. I collected a total of 200,000 tweets and filtered out Re-tweets. Looking at each individual hashtag I sorted them into the categories outlined by the Appraisal Theory proposed by Martin and White (Martin & White, 2005). I explore the types of evaluation expressed in hashtags, the relationships between evaluative hashtags and how users negotiate evaluations using meme hashtags.
Computational Linguistics, Anthropological Linguistics and Sociolinguistics, Discourse and Text Linguistics
Computational Linguistics, Anthropological Linguistics and Sociolinguistics, Discourse and Text Linguistics
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
