Nudging Nemo: Helping Users Control Linkability Across Social Networks

Kaushal, Rishabh; Chandok, Srishti; Jain, Prashant K.; Dewan, Prateek; Gupta, Nalin; Kumaraguru, Ponnurangam

doi:10.1007/978-3-319-67256-4_38

Cited by 7 publications

(1 citation statement)

References 19 publications

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“…Social media content popularity comparative studies are performed by numerous researchers. These studies claim the method to identify the most suitable social media platform to a specific kind of post (Kaushal, Chandok, Jain, Dewan, & Kumaraguru, 2017;Sokolova, & Kefi, 2019;Macarthy, 2018). Boss et.al. presented an approach to track and measure influence of social networking members for ecommerce sites (Boss et.…”

Section: Rq2: How Social Media Engagements Had Been Associated To Idementioning

confidence: 99%

Measuring social media influencer index- insights from facebook, Twitter and Instagram

Arora

Bansal²,

Kandpal³

et al. 2019

Journal of Retailing and Consumer Services

435

198

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The growth of social media has completely revamped the way people interact, communicate and engage. These platforms play a key role in facilitating greater outreach and influence. This study proposes a mechanism for measuring the influencer index across popular social media platforms including Facebook, Twitter, and Instagram. A set of features that determine the impact on the consumers are modelled using a regression approach. The underlying machine learning algorithms including Ordinary Least Squares (OLS), K-NN Regression (KNN), Support Vector Regression (SVR), and Lasso Regression models are adapted to compute a cumulative score in terms of influencer index. Findings indicate that engagement, outreach, sentiment, and growth play a key role in determining the influencers. Further, the ensemble of the four models resulted in the highest accuracy of 93.7% followed by the KNN regression with 93.6%. The study has implications across various domains of e-commerce, viral marketing, social media marketing and brand management wherein identification of key information propagators is essential. These influencer indices may further be utilized by e-commerce portals and brands for the purpose of social media promotion and engagement for larger outreach.

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Section: Rq2: How Social Media Engagements Had Been Associated To Idementioning

confidence: 99%