• Corpus ID: 238857067

Group Identity, Social Learning and Opinion Dynamics

@inproceedings{Lena2021GroupIS,
  title={Group Identity, Social Learning and Opinion Dynamics},
  author={Sebastiano Della Lena and Luca Paolo Merlino},
  year={2021}
}
In this paper, we study opinion dynamics in a balanced social structure consisting of two groups. Agents learn the true state of the world naively learning from their neighbors and from an unbiased source of information. Agents want to agree with others of the same group—in-group identity,— but to disagree with those of the opposite group—out-group conflict. We characterize steady state opinions, and show that agents’ influence depends on their Bonacich centrality in the signed network of… 

Figures and Tables from this paper

References

SHOWING 1-10 OF 35 REFERENCES
The Spread of Misinformation in Networks with Individual and Social Learning
This paper studies the spread of misinformation when agents have both individual and social learning. I characterize the steady state opinion vector and I show that agents with poor individual
Opinion Dynamics and Wisdom under Conformity
We present a model of opinion formation where individuals repeatedly engage in discussion and update their opinion in a social network similarly to the DeGroot model. Abstracting from the standard
Polarization When People Choose Their Peers
TLDR
A model where agents correct their heterogeneous initial opinion by averaging the opinions of their neighbors is developed and it is shown how each of these cases is tied to a key network statistic, the initial diameter.
An Economic Model of Friendship: Homophily, Minorities and Segregation
We develop a model of friendship formation that sheds light on segregation patterns observed in social and economic networks. Individuals come in different types and have type-dependent benefits from
Naïve Learning in Social Networks and the Wisdom of Crowds
TLDR
It is shown that all opinions in a large society converge to the truth if and only if the influence of the most influential agent vanishes as the society grows.
Rumors and Social Networks
TLDR
How a social network can serve as a filter to block messages from parts of the network that contain many biased agents and the messages that circulate may be incorrect but sufficiently informative as to the correct decision.
Friends and Enemies: A Model of Signed Network Formation
I propose a game of signed network formation, where agents make friends to coerce payoffs from enemies with fewer friends. The model accounts for the interplay between friendship and enmity. Nash
Non-Bayesian social learning
TLDR
It is shown that, as long as individuals take their personal signals into account in a Bayesian way, repeated interactions lead them to successfully aggregate information and learn the true parameter.
A Survey on Nonstrategic Models of Opinion Dynamics
TLDR
In the survey, a special attention is paid to modeling nonconformity (in particular, anticonformity) behavior in models of opinion dynamics that assume non-Bayesian updating of opinions.
Debunking Rumors in Networks
We study the diffusion of a true and a false opinion (the rumor) in a social network. Upon hearing an opinion, individuals may believe it, disbelieve it, or debunk it through costly verification.
...
1
2
3
4
...