
The Internet of Things (IoT) is receiving much attention as the number of connected devices to the Internet is projected to exceed 50 billion by the year 2020. įunding: The work described in this manuscript is supported by award UL1 TR000064 through National Center for Advancing Translational Sciences.Ĭompeting interests: The authors have declared that no competing interests exist. The authors have crawled the Twitter data using the publicly available Twitter API.
#PUBLIC PERCEPTION DEFINITION LICENSE#
This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.ĭata Availability: Twitter license prohibits sharing of Twitter data. Received: DecemAccepted: JPublished: July 8, 2016Ĭopyright: © 2016 Bian et al. PLoS ONE 11(7):Įditor: Lixia Yao, University of North Carolina at Charlotte, UNITED STATES (2016) Mining Twitter to Assess the Public Perception of the “Internet of Things”. Also, the user demographics of Twitter users may not be strongly representative of the population of the general public.Ĭitation: Bian J, Yoshigoe K, Hicks A, Yuan J, He Z, Xie M, et al.

Our analysis was challenged by the limited fraction of tweets relevant to our study. Nevertheless, no unexpected perceptions were identified through our analysis. However, the public has great concerns about privacy and security issues toward the IoT based on the frequent appearance of related terms.

Further, through topic modeling, we learned that public tweets discussing the IoT were often focused on business and technology. As anticipated, our analysis indicates that the public's perception of the IoT is predominantly positive. We then performed sentiment analysis to gain insights of the public’s attitude towards the IoT.

We first generated the discussion trends of the IoT from multiple Twitter data sources and validated these trends with Google Trends. In this paper, we have mined Twitter to understand the public's perception of the Internet of Things (IoT). Social media analysis has shown tremendous potential to understand public's opinion on a wide variety of topics.
