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. Our work shows that public Twitter data can be used to gain new insights into psychological processes surrounding relationship dissolutions, something that most people go through at least once in their lifetime.
@cite_30 study the importance of social networks in the dissolution of a romantic relationship. They define certain factors such as the overlap of networks of partners or social capital and study how these factors affect breakup. Though we did not collect data for the Twitter social , or its changes over time, it would be possible to validate their findings on Twitter using our approach of identifying breakups.
@cite_30
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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. Previous research on the dissolution of long-term romantic relationships has mostly focused on determinants that reflect either the characteristics of the individual partners or the characteristics of the relationship itself. The role of the social context in which couples are embedded has received less attention. This study assesses the association between three characteristics of the social context and the dissolution of long-term romantic relationships simultaneously: the prevalence of divorce in the network of the couple, the extent to which the networks of partners overlap each other, and the amount of social capital in the network of the couple. Using nationally representative panel data from the first and second waves of the Netherlands Kinship Panel Study, partial support was found for the link between the prevalence of divorce and network overlap on the one hand, and the likelihood to dissolve long-term romantic relationships on the other hand, among a sample of 3406 married and 648 unmarried coh... Abstract Many studies document how individuals use Facebook to meet partners or develop and maintain relationships. Less is known about information-seeking behaviors during the stages of relationship termination. Relational dissolution is a socially embedded activity, and affordances of social network sites offer many advantages in reducing uncertainty after a breakup. A survey collected responses from 110 individuals who use Facebook to gather information about their romantic ex-partners. Results indicated that after breakup, partners may take advantage of the system's information visibility and the relative invisibility of movement depending on relational factors (initiator role and breakup uncertainty), social factors (perceived network approval of Facebook surveillance), and individual privacy concerns. This investigation addresses questions such as what type of information-seeking foci do individuals employ and how do individuals use Facebook as a form of surveillance? What factors motivate surveilla... This paper examined the emotional sequelae of nonmarital relationship dissolution among 58 young adults. Participants were recruited while in a serious dating relationship, and when it ended, were signaled randomly with beepers for 28 days to complete an emotions diary. Compared to participants in intact dating relationships, dissolution participants reported more emotional volatility, especially immediately following the breakup. Multilevel growth modeling showed a linear decline in love and curvilinear patterns for sadness, anger, and relief. Contact with a former partner slowed the decline for love and sadness, and attachment style and the impact of the breakup predicted the emotional start-points and rate(s) of change over time. The results are discussed in terms of the functional role of postrelationship emotions as well as the importance of understanding patterns of intraindividual variability and differential predictors of emotional change.