We use public data from Twitter to study the breakups of the romantic relationships of 661 couples. Couples are identified through profile references such as @user1 writing “@user2 is the best boyfriend ever!!”. Using this data set we find evidence for a number of existing hypotheses describing psychological processes including (i) pre-relationship closeness being indicative of post-relationship closeness, (ii) “stonewalling”, i.e., ignoring messages by a partner, being indicative of a pending breakup, and (iii) post-breakup depression. We also observe a previously undocumented phenomenon of “batch un-friending and being un-friended” where users who break up experience sudden drops of 15-20 followers and friends.
Description
From “I Love You Babe” to “Leave Me Alone” - Romantic Relationship Breakups on Twitter - Springer
%0 Book Section
%1 kiranlovetwitter2014
%A Garimella, VenkataRamaKiran
%A Weber, Ingmar
%A Dal Cin, Sonya
%B Social Informatics
%D 2014
%E Aiello, LucaMaria
%E McFarland, Daniel
%I Springer International Publishing
%K love phdproposal relationship twitter
%P 199-215
%R 10.1007/978-3-319-13734-6_14
%T From “I Love You Babe” to “Leave Me Alone” - Romantic Relationship Breakups on Twitter
%U http://dx.doi.org/10.1007/978-3-319-13734-6_14
%V 8851
%X We use public data from Twitter to study the breakups of the romantic relationships of 661 couples. Couples are identified through profile references such as @user1 writing “@user2 is the best boyfriend ever!!”. Using this data set we find evidence for a number of existing hypotheses describing psychological processes including (i) pre-relationship closeness being indicative of post-relationship closeness, (ii) “stonewalling”, i.e., ignoring messages by a partner, being indicative of a pending breakup, and (iii) post-breakup depression. We also observe a previously undocumented phenomenon of “batch un-friending and being un-friended” where users who break up experience sudden drops of 15-20 followers and friends.
%@ 978-3-319-13733-9
@incollection{kiranlovetwitter2014,
abstract = {We use public data from Twitter to study the breakups of the romantic relationships of 661 couples. Couples are identified through profile references such as @user1 writing “@user2 is the best boyfriend ever!!”. Using this data set we find evidence for a number of existing hypotheses describing psychological processes including (i) pre-relationship closeness being indicative of post-relationship closeness, (ii) “stonewalling”, i.e., ignoring messages by a partner, being indicative of a pending breakup, and (iii) post-breakup depression. We also observe a previously undocumented phenomenon of “batch un-friending and being un-friended” where users who break up experience sudden drops of 15-20 followers and friends.},
added-at = {2015-01-23T10:35:17.000+0100},
author = {Garimella, VenkataRamaKiran and Weber, Ingmar and Dal Cin, Sonya},
biburl = {https://www.bibsonomy.org/bibtex/2f10e92974e8974237ce6c707f94646d9/asmelash},
booktitle = {Social Informatics},
description = {From “I Love You Babe” to “Leave Me Alone” - Romantic Relationship Breakups on Twitter - Springer},
doi = {10.1007/978-3-319-13734-6_14},
editor = {Aiello, LucaMaria and McFarland, Daniel},
interhash = {395cb716af9dfafb097c7d4e3cc53d98},
intrahash = {f10e92974e8974237ce6c707f94646d9},
isbn = {978-3-319-13733-9},
keywords = {love phdproposal relationship twitter},
language = {English},
pages = {199-215},
publisher = {Springer International Publishing},
series = {Lecture Notes in Computer Science},
timestamp = {2015-01-23T10:36:29.000+0100},
title = {From “I Love You Babe” to “Leave Me Alone” - Romantic Relationship Breakups on Twitter},
url = {http://dx.doi.org/10.1007/978-3-319-13734-6_14},
volume = 8851,
year = 2014
}