Abstract

This article argues that an important political marketplace of keywords expands in social media around campaign events such as a debate; that rhetorical efforts to define the situation in which a campaign event occurs are met in this marketplace by user responses that more or less echo the keywords, thereby enhancing or diminishing the political power of their “caller” or speaker; and that social media monitoring platforms can enhance our understanding of public opinion influence competitions among candidates through the careful selection, tabulation, and inspection of words and phrases being voiced. In the case at hand, an analysis of Twitter volume data and a reading of a sample of 1200 tweets between July 30 and August 15, 2015, a period enveloping the first 2016 Republican presidential candidate debate on August 6, 2015, helps us understand how Donald J. Trump escaped political punishment from party and media elites for subverting Republican and U.S. norms of candidate behavior. Elite voices greatly disapproved of Trump’s debate performance and conduct, a traditional augury of declining public support. But the presence of social media voices enhanced Trump’s capacity to succeed with an insurgent marketing strategy, one he would continue into his election as president fifteen months later. Specifically, comparatively high user volume on a debate-oriented section of Twitter (i.e., posts with the hashtag #GOPDebate) for Trump’s name, slogan, and Twitter address, and for such advantageous keywords as “political correctness,” “Megyn Kelly,” and “illegal immigration” relative to terms and phrases favoring other candidates and Republicans as a whole indicates the presence of heavy and active popular support for Trump. The contents of the corresponding tweet sample exhibit Twitter-savvy techniques and populist stances by which the Trump campaign solicited that support: celebrity feuding, callouts to legacy media allies, featured fan comments, a blunt vernacular, and confrontational branding. The contents also illustrate ways in which users manifested their support: from the aforementioned high keyword volume to imitative behavior and the supplying of evidence to verify Trump’s contested claims during the debate.

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