The reflection of offline activities on users’ online social behavior: An observational study

Falavarjani, Seyed Amin Mirlohi; Zarrinkalam, Fattane; Jovanović, Jelena; Bagheri, Ebrahim; Ghorbani, Ali A.

doi:10.1016/j.ipm.2019.102070

Cited by 19 publications

(13 citation statements)

References 19 publications

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“…The positive relationship found between online and offline activity is consistent with previous studies [16,62], indicating that greater online activity correlates with greater offline activities. In fact, Falavarjani et al [24] found a causality effect, in which a change in the user's offline behavior can cause a change in the user's online interests and sentiment. Our findings also strengthen other studies, showing that while knowledge resources shared and created on Facebook communities are important, the leaders and members also use face-to-face meetings for organizing purposes [57] and for social interactions [31].…”

Section: Discussionmentioning

confidence: 99%

“…Research has shown that users of social media sites (SNS) tend to replicate the behavior that they exhibit in face-to-face interactions [8,24]. Indeed, several studies have revealed a correlation between online and offline patterns of behavior.…”

Section: Offline and Online Activitymentioning

confidence: 99%

“…In contrast, the focus groups of the active participants were characterized by great alertness from the participants and a sincere desire to share and express themselves, without fear of disagreements between the participants [32]. A recent study that explored whether the reflection of users' socially situated offline activities can be observed in their online behavior found that a change in the user's offline behavior impacts the level of his/her exposure to social situations can cause a change in the user's online topical interests and sentiment [24]. In political open Facebook groups, while knowledge resources shared and created on Facebook were important, the groups also used inperson meetings and 'back channels' for organizing purposes because of the inefficiencies associated with large-group decision making [57].…”

Section: Offline and Online Activitymentioning

confidence: 99%

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Exploring leadership in Facebook communities: personality traits and activities

Gazit¹

2021

Proceedings of the Annual Hawaii International Conference on System Sciences

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Leaders of online communities are today becoming key players in social media sites like Facebook. Responsible for the community's participation rules, limits and members' identities, these leaders represent an important population on which to focus. This paper compares 94 Facebook community leaders to 94 other Internet users (N=188) in order to identify differences among them with respect to five major personality traits ("the BIG 5") as well as their online and offline activities. The results of the online surveys show that Facebook community leaders are more extroverted, open to experience, emotionally stable and active online and offline than are other Internet users. Examining the community categories, the leaders who manage Facebook support communities were found to be more introverted and less active online than leaders of other community types. The results are discussed in the context of the unique role of online leadership in the social media environment.

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Section: Discussionmentioning

confidence: 99%

Section: Offline and Online Activitymentioning

confidence: 99%

Section: Offline and Online Activitymentioning

confidence: 99%

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Exploring leadership in Facebook communities: personality traits and activities

Gazit¹

2021

Proceedings of the Annual Hawaii International Conference on System Sciences

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“…However, it distinguishes itself from the work that explores how online activities impact offline activity (e.g., Althoff et al, 2017; Stück et al, 2017) by investigating the reverse relation, that is, how offline activities impact users' online actions. It also differentiates itself from earlier works that investigated the impact of offline activities on online actions (e.g., Falavarjani et al, 2019; Kiciman et al, 2018) by specifically focusing on changes in users' online expression of emotions and moods as a result of differing offline activity patterns.…”

Section: Research Frameworkmentioning

confidence: 96%

“…A subset of such studies investigate the impact of users' online behavior on their offline activities (Althoff et al, 2017; Althoff, White, & Horvitz, 2016; Shameli, Althoff, Saberi, & Leskovec, 2017; Stück, Hallgrímsson, Ver Steeg, Epasto, & Foschini, 2017). Fewer studies have examined the consequences of real‐world (offline) activities on users' actions on online social media (Branley & Covey, 2017; Falavarjani, Zarrinkalam, Jovanovic, Bagheri, & Ghorbani, 2019; Kiciman, Counts, & Gasser, 2018).…”

Section: Introductionmentioning

confidence: 99%

On the causal relation between real world activities and emotional expressions of social media users

Falavarjani

Jovanović

Fani

et al. 2020

Asso for Info Science & Tech

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Social interactions through online social media have become a daily routine of many, and the number of those whose real world (offline) and online lives have become intertwined is continuously growing. As such, the interplay of individuals' online and offline activities has been the subject of numerous research studies, the majority of which explored the impact of people's online actions on their offline activities. The opposite direction of impact—the effect of real‐world activities on online actions—has also received attention but to a lesser degree. To contribute to the latter form of impact, this paper reports on a quasi‐experimental design study that examined the presence of causal relations between real‐world activities of online social media users and their online emotional expressions. To this end, we have collected a large dataset (over 17K users) from Twitter and Foursquare, and systematically aligned user content on the two social media platforms. Users' Foursquare check‐ins provided information about their offline activities, whereas the users' expressions of emotions and moods were derived from their Twitter posts. Since our study was based on a quasi‐experimental design, to minimize the impact of covariates, we applied an innovative model of computing propensity scores. Our main findings can be summarized as follows: (a) users' offline activities do impact their affective expressions, both of emotions and moods, as evidenced in their online shared textual content; (b) the impact depends on the type of offline activity and if the user embarks on or abandons the activity. Our findings can be used to devise a personalized recommendation mechanism to help people better manage their online emotional expressions.

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