Current Projects

Here are several current lines of research. I encourage you to reach out if you are interested in working with me on any of these projects as I am always interested in additional collaborators. This includes projects that are not listed here, and I am open to other ideas. Notably, I do not necessarily need to be the ‘lead’ on any projects that emerge out of these lines of research.

Longitudinal changes associated with health communication: Structural and temporal features 

Absolute activity on r/grandorder subreddit
Absolute activity on the r/grandorder subreddit representing the corpus of posts and comments from 2016-2018, representing topical evolution over time.

How does our communication about health change over time, and how can we model such patterns of discourse and structural features? My work in this area seeks to understand how communication about discourse evolves in reference to topics such as vaccines, cardiovascular disease, chronic health issues (IBD), which are disparities in terms of self disclosure or self maintenance in many rural communities; as well as patterns of change in discursive practices surrounding the COVID-19 pandemic. Likewise, I seek to examine the interpersonal and organizational discourse surrounding these issues. I welcome collaborators on these projects, particularly if you have an interest or expertise in python, R, or other programming skills. 

  • Future research that I am interested in involves seeking the emotional appeals that individuals share in online platforms, the language they use to express themselves over time, and how emotion and language evolves regarding such issues. I am planning to model these patterns in python and R.
  • As mentioned above, the interpersonal nature of communication, as well as individual organizational units (e.g., Musaev, Britt, et al., 2019) is work that I seek to expand upon in this line of inquiry. Scholars who are interested in interpersonal or organizational communication, computer science, among other disciplines might be interested in these projects.
  • I seek to examine such behaviors in subreddits dedicated to health issues, particularly those that are related to rare or diseases that are not readily understood, as they are either personally relevant to me (and thus, I either have some experience with them in a capacity, lending myself some modicum of credibility). 

Representative Articles:

Britt, B. C., & Britt, R. K. (2020). From waifus to whales: The evolution of discourse in a mobile game-based competitive community of practice. Mobile Media & Communication. doi: 10.1177/2050157920934509

Britt, R. K., & Englebert, A. M. (2019). Experiences of patients living with inflammatory bowel disease in rural communities. Qualitative Research in Medicine and Healthcare, 3, 40-46. doi: 10.4081/qrmh.2019.7962

Britt, R. K., & Doss, E. F. (2019). Conceptualizing endometriosis in the r/endo subreddit: A text mining and unsupervised analysis of communication. Manuscript presented at the annual conference of the National Communication Association, Baltimore, MD.

Modeling networks of vaccines, pandemics and risk communication on Reddit and Twitter

Time periods for subreddit dentistry
Longitudinal concept maps show the evolution of discussion on the r/dentistry subreddit across four ten-month periods, from 2015-2019, respectively.

How is risk expressed and how does it thematically evolve as a discursive practice in large groups? To better classify dimensions associated with sentiment in times of crisis (e.g., pandemics) and risk, we can use tidytext to understand the data structure and conduct sentiment analyses, and tidy verse to build network analyses and topic modeling (via latent Dirichlet allocation) to examine some of the more interesting changes that occur.

  • My ongoing interests include examining the COVID-19 pandemic and how users communicate about information expressed (note: misinformation as well as simply other conversation points) as well as the rhetorical meaning of cues and contexts expressed online about the sociopolitical issues surrounding the pandemic.
  • Second, how is communication about risk and pandemics historically communicated about on Reddit? We can visualize this data through tools such as ggplot2, tidytext, and LDA.
  • Finally, what is the sentiment of messages expressed? Qualitatively, what is expressed historically, from the documented origin of a subreddit dedicated to a particular issue, and what events catalyze its activity spikes and might contribute to subsequent discourse? 

Representative Articles:

Britt, B. C., Britt, R. K., Hayes, J. L., Panek, E. T., Maddox, J., & Musaev, A. (2020). Oral healthcare implications of dedicated online communities: A computational content analysis of the r/dentistry subreddit. Health Communication. doi: 10.1080/10410236.2020.1731937

The future of health communication: Theorizing about the boundaries of models and data complexity

For the past two years, I have worked extensively with Wenger’s (1998) community of practice, which has helped to shape my understanding of the formation and maintenance of communities, as well as the death of communities online (see a citation below for a new Britt et al. 2020 article). I seek to extend theory on how communities of practice might work in tandem with other theoretical constructs— such as those that might traditionally be predictive in nature— and how we might re-evaluate our thinking of those today. 

I’m currently working on a few ‘state of the field’ projects relating to health communication that involve scraping large data sets of studies relating to several journals and domains. Please reach out if you’d like to collaborate. I’d like to work with fellow experienced scholars and particularly driven and talented graduate students with a deep passion for health communication.

  • I am especially seeking collaborators who would like to work on a project that are interested in theory building as it relates to the way that theory has implications for the future of communication, health, and online communities. As we look to spaces such as Wikipedia and Reddit, and those where we see users contribute to knowledge, how do existing theories hold up, have evolved in light of publications, and what are the next directions? 
  • In terms of data complexity, I have a special interest in data and the state of the field of communication and social sciences as a whole (with a particular bias towards computational methods and machine learning)— be it survey, interview, conversations, ethnography, among others. How we might critically interrogate the work we do in an era that is increasingly digital, and continue to do work that is meaningful and makes an actual contribution?

Representative Article:

Britt, B. C., Britt, R. K., Hayes, J. L., & Oh, J. (in press). Continuing a community of practice beyond the death of its domain: Examining the Tales of Link subreddit. Behaviour & Information Technology. doi: 10.1080/0144929X.2020.1797173

Britt, R. K., Maddox, J., Kanthawala, S., & Hayes, J. L. (2020). The impact of mHealth interventions: Improving health outcomes through narratives, mixed methods and data mining. In J. Kim & H. Song, Eds., New Technologies for Health-related Cognitive and Behavioral Changes. Elsevier.

Social media influencers and their brand and network and content characteristics

Influencer Graph
Centralization scores for networks corresponding to each influencer.

How do influencers shape purchasing decisions and reach their audience today? Moreover, what are the health implications we might consider, and does it vary depending on the platform used? In our recent research, my team found that the network and content characteristics of mega and micro influencers counteracted conventional wisdom. That is, megainfluencers saw high degree centralization across reply, retweet and mention networks, and low betweenness centralization for retweet networks. Microinfluencers tended to play a central role in their reply network. 

  • Culturally, what are the differences among influencers in this sector, and their impact on their audience? How do audiences respond accordingly? 
  • Moreover, how does the communication surrounding influencers differ in communities of practice, and does the language used vary depending on the influencer; if so, through what types of language, sentiment, and what catalyzes such changes? 

Representative Article:

Britt, R. K., Hayes, J., Britt, B. C., & Park, H. (2020). Too big to sell? A computational analysis of network and content characteristics among mega and micro beauty and fashion social media influencers. Journal of Interactive Advertising. doi.org/10.1080/15252019.2020.1763873