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.
Currently, we are using Twitter merely as a data source to study relationship breakups per se. However, one could also study the more intricate relationship between technology use and personal relationships. Weisskirch, et al @cite_33 look at the attachment styles of couples involved in a relationship breakup online. It is the only work that we are aware of that looks at the act of breaking up through technology. Manual inspection of tweets around breakup revealed a few instances of actual breakups through public (!) tweets in our dataset too.
@cite_33
1590210220 2139422417 2154106761 2037122935
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. 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. Abstract Relationship dissolution now occurs through technologies like text messaging, e-mail, and social networking sites (SNS). Individuals who experience relationship dissolution via technology may differ in their attachment pattern and gender role attitudes from those who have not had that experience. One hundred five college students (males=21 and females=84) completed an online questionnaire about technology-mediated breakups, attachment style, and gender role attitudes. More than a quarter of the sample had experienced relationship dissolution via technology. Attachment anxiety predicted those subject to technology-mediated breakups. Attachment avoidance and less traditional gender roles were associated with increased likelihood of technology use in relationship dissolution. Implications are discussed in regards to future research and practice.