Mining personal media thresholds for opinion dynamics and social influence

To study the detailed effects of social media consumption on personal opinion dynamics, we gather self reported survey data on the volume of different media types an individual must consume before forming or changing their opinion on a subject. We then use frequent pattern mining to analyze the data...

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Bibliographic Details
Published in:	Proceedings of the 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining pp. 1258 - 1265
Main Authors:	Doyle, Casey, Meandzija, Alex, Korniss, Gyorgy, Szymanski, Boleslaw, Asher, Derrik, Bowman, Elizabeth
Format:	Conference Proceeding
Language:	English
Published:	Piscataway, NJ, USA IEEE Press 28.08.2018
Series:	ACM Conferences
Subjects:	Information systems Information systems > Information systems applications Information systems > Information systems applications > Data mining association rules personal influence thresholds crowdsourcing social media data mining opinion formation
ISBN:	1538660512, 9781538660515
Online Access:	Get full text
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