Geosocial gauge: a system prototype for knowledge discovery from social media

Croitoru, Arie; Crooks, Andrew; Radzikowski, Jacek; Stefanidis, Anthony

doi:10.1080/13658816.2013.825724

Cited by 80 publications

(46 citation statements)

References 48 publications

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“…The increased popularity of social networking is largely due to the proliferation of smart/mobile devices and the intuitive nature of social technologies (Croitoru et al, 2013;Salehman & Negahban, 2013). An area which, until now,received limited coverage in the academic literature refers to the move from the intuitive use to knowledge led ability to leverage social networking sites for business and professional purposes.…”

Section: Introductionmentioning

confidence: 99%

Collaborative competencies in professional social networking: Are students short changed by curriculum in business education?

Benson

Filippaios

2015

Computers in Human Behavior

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Social networks have earned their indisputable place as a collaborative learning tool in education. In this paper, we address the gap in literature on developing a set of competencies to allow graduates to make the most of collaborative technologies for business and professional activity as well as career management. Based on a survey of over 600 business school graduates from AMBA accredited UK universities, we are able to identify the level of awareness and degree of application of professional usage of social networks amongst students. Our results show that work experience and age of the business students play a significant role in their usage of social networks for professional purposes, knowledge and career management. The data shows that younger students are more social networking savvy when it comes to identifying business opportunities, while older graduates are less confident. This is important as traditionally graduate students are individuals in their mid careers and the skill gap between generation Y and the experienced graduates need to be bridged by adequate curriculum changes.

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Section: Introductionmentioning

confidence: 99%

Collaborative competencies in professional social networking: Are students short changed by curriculum in business education?

Benson

Filippaios

2015

Computers in Human Behavior

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“…It has been argued that individuals closer to an event are more likely to accurately report on the event [41]. Intuitively, this makes sense.…”

Section: Alternative Trust Metricsmentioning

confidence: 98%

Increasing the veracity of event detection on social media networks through user trust modeling

Bodnar

Tucker

Hopkinson

et al. 2014

2014 IEEE International Conference on Big Data (Big Data)

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With the success and ubiquity of large scale, social media networks comes the challenge of assessing the veracity of information shared across them that inform individuals about emerging real-world events and trends. We propose a veracityassessment model for information dissemination on social media networks that combines natural language processing and machine learning algorithms to mine textual content generated by each user. Large scale social media networks (such as Twitter and Facebook) are considered digital communication platforms, in which information can be quickly and easily exchanged, thereby expanding the breadth of knowledge across the globe. In this paper, four case studies spanning multiple geographic regions, threat scenarios and time frames are investigated, in order to demonstrate how real-world events impact the manner in which information/misinformation is communicated and spread through a social media network. Our results show that metadata associated with each user can provide significant insight on the social media network's users' tendency to accurately discuss a topic.

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“…testing specific sources in isolation of others). Examples from the literature analyzing multiple sources of VGI simultaneously have begun to emerge, for example Croitoru et al (2013) using Flickr, Twitter, and YouTube while Li et al (2013) use both Flickr and Twitter densities for their study of user-demographics in California, though these studies do not look at the data quality characteristics of the data as the central focus. However these studies were limited to narrow geographic and temporal scales by choosing areas with expected high OSM data.…”

Section: Introductionmentioning

confidence: 99%