Making New Time: Sharjah Biennal 14: Leaving the Echo Chamber
نویسندگان
چکیده
منابع مشابه
Open The Echo Chamber
So, climate change and conflict is back in the media, seemingly with the strength of science behind it. I’ve been a rather direct, harsh critic of some work on this connection before, at least in part because I am deeply concerned that work on this subject (which remains preliminary) might disproportionately influence policy decisions in unproductive or even problematic directions (i.e. by cont...
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We propose a model where voters are embedded in a social network. Each voter observes the ballots of her neighbors in the network, from which she infers the likely outcome of the election. Each voter may then revise her vote strategically, to maximize her expected utility. Our work focuses on plurality voting, where strategic voting is a major concern. We show that in practice, strategization i...
متن کاملThe Bayesian Echo Chamber: Modeling Influence in Conversations
Motivation: mapping influence from linguistic accommodation Question: Who influences whom in a conversation? • The influence relations are usually implicit in social interactions. Can we infer them from “who said what at what time”? (availability of many transcript data) • Existing approach — modeling the dynamics of turn-taking behavior, i.e. “who speaks next?” (e.g. you are influencing me if ...
متن کاملPhase transition of social learning collectives and the echo chamber.
We study a simple model for social learning agents in a restless multiarmed bandit. There are N agents, and the bandit has M good arms that change to bad with the probability q_{c}/N. If the agents do not know a good arm, they look for it by a random search (with the success probability q_{I}) or copy the information of other agents' good arms (with the success probability q_{O}) with probabili...
متن کاملThe Bayesian Echo Chamber: Modeling Social Influence via Linguistic Accommodation
We present the Bayesian Echo Chamber, a new Bayesian generative model for social interaction data. By modeling the evolution of people’s language usage over time, this model discovers latent influence relationships between them. Unlike previous work on inferring influence, which has primarily focused on simple temporal dynamics evidenced via turn-taking behavior, our model captures more nuanced...
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ژورنال
عنوان ژورنال: Critique d’art
سال: 2019
ISSN: 1246-8258,2265-9404
DOI: 10.4000/critiquedart.54482