政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/122094

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Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/122094

Title:	Political Brand Communities as Social Network Clusters: Winning and Trailing Candidates in the GOP 2016 Primary Elections
Authors:	林芝璇 Lin, Jhih-Syuan Himelboim, Itai
Contributors:	傳播學院
Keywords:	KEYWORDS Brand community;political marketing;social network analysis;social mediators
Date:	2018-07
Issue Date:	2019-01-23 11:07:11 (UTC+8)
Abstract:	This study integrates a brand community theoretical framework and a social networks approach to the study of political marketing on social media. It analyzes Twitter activity by and about all Republican candidates during the month of January 2016 prior to the Iowa primary caucus. Specifically, it identifies key patterns of information flow and political brand community emergence surrounding each candidate as well as brand social mediators who play influential roles in content flow. Findings detect network clusters - subgroups of siloed users - who converse to exchange information with one another rather than with disconnected others in any given political brand community. We classify these clusters in two groups: direct communities that surround a brand – here, a candidate – and indirect communities that consist of users who talk about the political brands but are not directly connected to the brand. Within this fragmented community structure, brand social mediators have the power to bridge direct and indirect brand communities across the network. Among the winning and trailing brand communities, different sets of brand social mediators, patterns of information flow, and network structures emerge. The findings suggest that the more successful a political brand is in voter polls, the weaker the social ties and relationships are within the brand communities. The interactions between political brands and their direct vs. indirect communities also exhibit different patterns of information flow. While direct brand communities demonstrate a higher level of reciprocity, indirect brand communities show a higher level of density. Implications and directions for future research are discussed.
Relation:	Journal of Political Marketing,
Data Type:	article
DOI link:	http://dx.doi.org/10.1080/15377857.2018.1478661
DOI:	10.1080/15377857.2018.1478661
Appears in Collections:	[Department of Advertising] Periodical Articles

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