Power of Social Media in Political Marketing – An India Based Empirical Study

Joydeep Chatterjee, Gautam Dutta
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Abstract

This study aims to understand the importance of different factors of social media, along with relevant demographic variables of voters to predict a voter’s preferred political brand, in the context of the Indian Lok Sabha elections. To identify the relevant demographic variables, we have gone through previous literature. However, due to the lack of substantial India-based academic literature that could help us to identify the important factors of social media campaign, we referred to US-based academic literature and attempted to obtain the superset of social media impact variables. Thereafter, we conducted focussed group discussions to identify the most important attributes, which we’ve used in our survey study. We have chosen greater Kolkata to conduct the survey. We have used multinomial logistic regression model with voters’ preferred political brand as a dependent variable with four choices. We observed that there is no significant difference between the intercept and final (including all predictors) model and also found that no individual demographic and social media impact variables are significant predictors of voters’ preferred political brand. We also measured comparative effect on different political parties for each independent variable. That would help political marketers to target specific segments with effective communication and campaign plan.
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社交媒体在政治营销中的力量--基于印度的实证研究
本研究旨在了解在印度人民院选举中,社交媒体的不同因素以及选民的相关人口变量对预测选民首选政治品牌的重要性。为了确定相关人口统计学变量,我们查阅了以往的文献。然而,由于缺乏大量基于印度的学术文献来帮助我们确定社交媒体活动的重要因素,我们参考了基于美国的学术文献,试图获得社交媒体影响变量的超集。之后,我们进行了小组集中讨论,以确定最重要的属性,并将其用于我们的调查研究。我们选择了大加尔各答地区进行调查。我们使用了多项式逻辑回归模型,将选民的首选政治品牌作为因变量,共有四个选项。我们观察到,截距模型和最终模型(包括所有预测因素)之间没有显著差异,同时还发现没有任何单个人口统计学变量和社交媒体影响变量是选民首选政治品牌的重要预测因素。我们还测量了每个自变量对不同政党的比较效应。这将有助于政治营销人员针对特定群体制定有效的传播和竞选计划。
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