Motivations for social networking at work

DiMicco, Joan Morris; Millen, David R.; Geyer, Werner; Dugan, Casey; Brownholtz, Beth; Müller, Michael

doi:10.1145/1460563.1460674

Cited by 517 publications

(382 citation statements)

References 25 publications

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“…Joinson explored the motivation of Facebook users [6], identifying seven unique uses and gratifications: social connection, shared identities, content, social investigation, social network surfing, and status updating. DiMicco, et al investigated users' motivations for using social networking sites at work [7], finding that professionals use internal social networks to connect personally with coworkers, advance their career, and campaign for projects of interest. Burke, et al studied how specific interactions with new users can maximize their future contributions [8].…”

Section: Related Workmentioning

confidence: 99%

Motivation for Participation in Online Neighborhood Watch Communities: An Empirical Study Involving Invitation Letters

Violi

Shneiderman

Hanson³

et al. 2011

2011 IEEE Third Int'l Conference on Privacy, Security, Risk and Trust and 2011 IEEE Third Int'l Conference on Social Computing

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Abstract-This paper presents a three-part experiment designed to investigate the motivations of users of a community safety and neighborhood watch social networking website. The experiment centers around an intervention into the invitation system that current users employ to invite nonmembers to join the site, and involves several versions of an invitation email which differ by expressing one of four possible motivations for using such a site. The research presented investigates how potential users' choice of whether or not to join the site is affected by the use case presented by the invitation. It also includes an investigation of the motivations of current users of the site, as reported in an online survey. The experiment yielded no significant difference in responses to the emails. Overall, invitations that included a specific motivation slightly outperformed those which did not, but not to a statistically significant degree. We conclude that although users have specific motivations for using the site, as reported in the survey, attempting to increase response rates to invitation emails by suggesting use cases of the site is surprisingly unlikely to be successful.

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Section: Related Workmentioning

confidence: 99%

Motivation for Participation in Online Neighborhood Watch Communities: An Empirical Study Involving Invitation Letters

Violi

Shneiderman

Hanson³

et al. 2011

2011 IEEE Third Int'l Conference on Privacy, Security, Risk and Trust and 2011 IEEE Third Int'l Conference on Social Computing

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“…We followed a similar user-centered design process to [9] in which we conducted a formative, pre-design evaluation of needs of a sample of lead users. Regarding to the user sample, we used a sampling approach similar to [2] and [8]. The sample in our interview study is representative in terms of language ability; multilingual employees at this global corporation must demonstrate a certain level of proficiency in English in order to obtain employment.…”

Section: User Requirementsmentioning

confidence: 99%

Enhancing blog readability for non-native english readers in the enterprise

Yu¹,

Thom-Santelli

Millen

2011

CHI '11 Extended Abstracts on Human Factors in Computing Systems

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Blogs are an important platform for people to access and share information, particularly in corporate settings where users rely on these systems for their work. However, because a global enterprise is multilingual, not all employees can understand the shared information in these systems easily if the content is written in a user's non-native language. As a result, this research focuses on enhancing the readability of blogs in enterprise social software for this group of users. The pilot user study of Japanese and Chinese bloggers suggest there are two main challenges: finding an interesting blog post to read and encountering difficulties in reading blog posts as currently rendered. Based on these findings, we designed and implemented a Firefox extension, Clearly, which uses web customization techniques to improve these two levels of readability issues.

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“…The site is an opt-in site that people use for connecting with other employees, through the sharing of photos, lists and events [5]. Part of the process of connecting is to directly link to other employees, as is typical on any social network site.…”

Section: Datamentioning

confidence: 99%

Honeycomb: Visual Analysis of Large Scale Social Networks

Ham

Schulz

DiMicco

2009

Lecture Notes in Computer Science

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Abstract. The rise in the use of social network sites allows us to collect large amounts of user reported data on social structures and analysis of this data could provide useful insights for many of the social sciences. This analysis is typically the domain of Social Network Analysis, and visualization of these structures often proves invaluable in understanding them. However, currently available visual analysis tools are not very well suited to handle the massive scale of this network data, and often resolve to displaying small ego networks or heavily abstracted networks. In this paper, we present Honeycomb, a visualization tool that is able to deal with much larger scale data (with millions of connections), which we illustrate by using a large scale corporate social networking site as an example. Additionally, we introduce a new probability based network metric to guide users to potentially interesting or anomalous patterns and discuss lessons learned during design and implementation.

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Motivations for social networking at work

Cited by 517 publications

References 25 publications

Motivation for Participation in Online Neighborhood Watch Communities: An Empirical Study Involving Invitation Letters

Motivation for Participation in Online Neighborhood Watch Communities: An Empirical Study Involving Invitation Letters

Enhancing blog readability for non-native english readers in the enterprise

Honeycomb: Visual Analysis of Large Scale Social Networks

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