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_17 used the network structure of an individual's ego network to identify their romantic partner. Note that a social tie on Facebook is not the same as one on Twitter, mainly because, (i) Twitter network is directed, (ii) the use of Facebook and Twitter may be different. Still, the notion of dispersion' defined in their paper might be related to the loss of friends followers in our study (see ). @cite_12 study relationship dissolution on Facebook, mainly focusing on the phases and behavior of users who go through breakups on Facebook. There is evidence of limiting profile access in order to manage the breakup which is similar to our findings in .
@cite_12 @cite_17
1590210220 2169265842 2139422417 2154106761
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. 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... We investigate the breaking of ties between individuals in the online social network of Twitter, a hugely popular social media service. Building on sociology concepts such as strength of ties, embeddedness, and status, we explore how network structure alone influences tie breaks - the common phenomena of an individual ceasing to "follow" another in Twitter's directed social network. We examine these relationships using a dataset of 245,586 Twitter "follow" edges, and the persistence of these edges after nine months. We show that structural properties of individuals and dyads at Time 1 have a significant effect on the existence of edges at Time 2, and connect these findings to the social theories that motivated the study. The present study explores how people use social networking sites to adjust to breakups by studying their postdissolution behaviors. We apply Rollie and Duck’s (2006) relationship dissolution model by examining how collegiate Facebook users (N = 208) enact behaviors in breakups to extend the model to online environments during and after breakups. Furthermore, we employed a retrospective design utilizing qualitative methods to define categories of behavioral responses to a breakup on Facebook. The analysis revealed online behaviors that overlapped with the dissolution model as well as paralleled previous research into online behaviors. Results are discussed using the relationship dissolution model framework to individuals modifying online relationship statuses, “unfriending” previous partners, and limiting profile access in order to manage relationship termination.