Opinion Formation Threshold Estimates from Different Combinations of Social Media Data-Types

Date
2019-01-08
Authors
Asher, Derrik
Caylor, Justine
Doyle, Casey
Neigel, Alexis
Szymanski, Boleslaw
Korniss, Gyorgy
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Abstract
Passive consumption of a quantifiable amount of social media information related to a topic can cause individuals to form opinions. If a substantial amount of these individuals are motivated to take action from their recently established opinions, a movement or public opinion shift can be induced independent of the information’s veracity. Given that social media is ubiquitous in modern society, it is imperative that we understand the threshold at which social media data results in opinion formation. The present study estimates population opinion formation thresholds by querying 2222 participants about the number of various social media data-types (i.e., images, videos, and/or messages) that they would need to passively consume to form opinions. Opinion formation is assessed across three dimensions, 1) data-type(s), 2) context, 3) and source. This work provides a theoretical basis for estimating the amount of data needed to influence a population through social media information.
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Keywords
Social Media Management in Big Data Era, Digital and Social Media, experimental, human dynamics, MTurk, opinion spread, social media
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