@article{2018:schieb:considerin,
title = {Considering the Elaboration Likelihood Model for simulating hate and counter speech on Facebook},
year = {2018},
note = {Counter speech is perceived and has also been advocated by social
networks as a measure for delimiting the effects of hate speech. To
facilitate estimating the efficiency of counter speech in freely
accessible blackboard communication as employed by Facebook, we extend
an existing simulation model by integrating Elaboration Likelihood
Model (ELM) mechanisms. We model four different user groups (core,
clowns, followers and counter speakers), each with a specific set of
properties, namely need for cognition and involvement as ELM personal
characteristics, and opinion, volatility and activity as borrowed from
opinion formation models. We also add argument strength as important
message characteristic. Our simulation experiments show that the
updated model provides similar but much more detailed results:
potentially temporal opinion changes via peripheral processing get
visible. Furthermore, we give more evidence that the opinions of
counter speakers shall not be too extreme in all cases but sometimes
rather moderate in order to achieve maximum impact.},
journal = {SCM Studies in Communication and Media},
pages = {580--606},
author = {Schieb, Carla and Preuss, Mike},
volume = {7},
number = {4}
}