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Using agent-based simulation to analyse the effect of broadcast and narrowcast on public perception: a case in social risk amplification

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Using agent-based simulation to analyse the effect of broadcast and narrowcast on public perception: a case in social risk amplification. / Onggo, Stephan; Busby, Jeremy; Liu, Yun.
Proceedings of the 2014 Winter Simulation Conference. IEEE, 2014. p. 322-333.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

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Onggo S, Busby J, Liu Y. Using agent-based simulation to analyse the effect of broadcast and narrowcast on public perception: a case in social risk amplification. In Proceedings of the 2014 Winter Simulation Conference. IEEE. 2014. p. 322-333 doi: 10.1109/WSC.2014.7019899

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Bibtex

@inproceedings{46f7bdd8590b466d9434e3fdcc702cea,
title = "Using agent-based simulation to analyse the effect of broadcast and narrowcast on public perception: a case in social risk amplification",
abstract = "Individuals often use information from broadcast news (e.g. media) and narrowcast news (e.g. personal social network) to form their perception on a certain social issue. Using a case study in social risk amplification, this paper demonstrates that simulation modelling, specifically agent-based simulation, can be useful in analysing the effect of broadcast and narrowcast processes on the formation of public risk perception. The first part of this paper explains the structure of a model that allows easy configuration for testing various behaviours about which the empirical literature cannot make definitive predictions. The second part of this paper discusses the effect of personal social network and the role of media in the dynamics of public risk perception. The results show the undesirable effect of the extreme narrowcast process in society and a media that simply broadcasts the average public risk perception.",
keywords = "Agent-based simulation, risk perception , Social network, social amplification of risk framework",
author = "Stephan Onggo and Jeremy Busby and Yun Liu",
year = "2014",
month = dec,
doi = "10.1109/WSC.2014.7019899",
language = "English",
isbn = "9781479974849",
pages = "322--333",
booktitle = "Proceedings of the 2014 Winter Simulation Conference",
publisher = "IEEE",

}

RIS

TY - GEN

T1 - Using agent-based simulation to analyse the effect of broadcast and narrowcast on public perception

T2 - a case in social risk amplification

AU - Onggo, Stephan

AU - Busby, Jeremy

AU - Liu, Yun

PY - 2014/12

Y1 - 2014/12

N2 - Individuals often use information from broadcast news (e.g. media) and narrowcast news (e.g. personal social network) to form their perception on a certain social issue. Using a case study in social risk amplification, this paper demonstrates that simulation modelling, specifically agent-based simulation, can be useful in analysing the effect of broadcast and narrowcast processes on the formation of public risk perception. The first part of this paper explains the structure of a model that allows easy configuration for testing various behaviours about which the empirical literature cannot make definitive predictions. The second part of this paper discusses the effect of personal social network and the role of media in the dynamics of public risk perception. The results show the undesirable effect of the extreme narrowcast process in society and a media that simply broadcasts the average public risk perception.

AB - Individuals often use information from broadcast news (e.g. media) and narrowcast news (e.g. personal social network) to form their perception on a certain social issue. Using a case study in social risk amplification, this paper demonstrates that simulation modelling, specifically agent-based simulation, can be useful in analysing the effect of broadcast and narrowcast processes on the formation of public risk perception. The first part of this paper explains the structure of a model that allows easy configuration for testing various behaviours about which the empirical literature cannot make definitive predictions. The second part of this paper discusses the effect of personal social network and the role of media in the dynamics of public risk perception. The results show the undesirable effect of the extreme narrowcast process in society and a media that simply broadcasts the average public risk perception.

KW - Agent-based simulation

KW - risk perception

KW - Social network

KW - social amplification of risk framework

U2 - 10.1109/WSC.2014.7019899

DO - 10.1109/WSC.2014.7019899

M3 - Conference contribution/Paper

SN - 9781479974849

SP - 322

EP - 333

BT - Proceedings of the 2014 Winter Simulation Conference

PB - IEEE

ER -