While there has been much discussion in recent decades on the nature of social capital and its importance in online interactions, it is my contention that these discussions have been dominated by the American Communitarian tradition. In this article, I begin with an overview of American Communitarianism to identify the key elements therein that are found in contemporary theories of social capital. Following this, I expose some of the weaknesses of this tradition and apply Bourdieu's distinctive theoretical framework to online interactions to demonstrate the fecundity of Bourdieu's sociological perspective when applied to contemporary online interactions. To do this, I examine interactions online that involve 'internet memes', as digital inhabitants themselves colloquially define them. It is my contention that an agonistic model, rather than a communitarian one, best describes the online interactions of digital inhabitants.

In this paper, I argue that unique locations of digital interactions constitute distinct information‐technological media. I first apply a close reading of Couch's () work to digital sociology, and then analyze three popular social media networks: http://www.imgur.com, http://www.reddit.com, and http://www.twitter.com. I close with a theoretical application of Couch's paradigm for analyzing the qualities of information technologies.

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The 2020 Vice-Presidential debate afforded the opportunity to examine online reactions toward a woman of color, Kamala Harris, and a white man, Mike Pence, as they vied for the same position. We collected tweets from the Twitter API related to Harris and Pence, mainly using neutral hashtags. We examined keywords for gender and race slurs and conducted a multivariate analysis of tweet sentiment. Gender and racial slurs surface in both Harris and Pence datasets, showcasing the insidious nature of sexist and racist stereotypes that seep into online conversations regarding a high-status job debate. As anticipated, tweets regarding Harris contained a higher proportion of racist and sexist curse words, highlighting greater levels of harassment and “intersectional,” multi-ethnic/gender attacks. Racial insults targeting Blacks or Asians were more negative than those associated with Whites. Unexpectedly, tweets related to Harris were more positive in average sentiment than those regarding Pence. Yet, there were significantly more retweets, and more negativity of retweets, relating to Harris than to Pence, underscoring the relatively widespread broadcasting of derogatory messages about Harris. Overall, we found that harassing messages toward the candidates reinforced traditional race and gender stereotypes and bolstered the status of those who posted negative content by attaining more retweets. Harassers routinely invoked well-worn, stereotypical insults in their attacks, especially when targeting a multiracial woman.

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