Online homophily experiments data

Name: Online homophily experiments data
Published: 2014-01-01T00:00:00Z
License: https://ora.ox.ac.uk/terms_of_use

Documentation:: Data in csv format for Experiment 1 and Experiment 2 reported in Launay and Dunbar (submitted). Dr Jacques Launay was funded by the European Research Council (grant 295663).

Files:: DataExp1.csv

(csv, 789.1KB, Terms of use)

DataExp2.csv

(csv, 155.3KB, Terms of use)

Language:: English
Keywords:: relational demographics

homophily

experimental psychology

traits

minimal group membership

strangers
Pubs id:: 1480103
UUID:: uuid:889d0cf0-50d5-4e13-b66f-d83945af42ef
Local pid:: pubs:1480103
Deposit date:: 2014-07-11
ARK identifier:: ark:/29072/ora_889d0cf050d54e13b66fd83945af42ef

Related item:: Playing with Strangers: Which Shared Traits Attract Us Most to New People?
Description:: Homophily, the tendency for individuals to associate with those who are most similar to them, has been well documented. However, the influence of different kinds of similarity (e.g. relating to age, music taste, ethical views) in initial preferences for a stranger have not been compared. In the current study, we test for a relationship between sharing a variety of traits (i.e. having different kinds of similarity) with a stranger and the perceived likeability of that stranger. In two online experiments, participants were introduced to a series of virtual partners with whom they shared traits, and subsequently carried out activities designed to measure positivity directed towards those partners. Greater numbers of shared traits led to linearly increasing ratings of partner likeability and ratings on the Inclusion of Other in Self scale. We identified several consistent predictors of these two measures: shared taste in music, religion and ethical views. These kinds of trait are likely to be judged as correlates of personality or social group, and may therefore be used as proxies of more in-depth information about a person who might be socially more relevant.

Licence:: Terms and Conditions of Use for Oxford University Research Archive

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Dataset