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ESCORT: Employability Skills COntent cuRation Tool for Social Media Profiles

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10474))

Abstract

Social media profiles (SMPs) are defined as people’s digital DNA. They provide information about the social characteristics of individuals such as interests, activities, affiliations, location and so forth. They’re also a rich source of subtle information that may help understand the type of person one is. Employers screen candidates’ SMPs during the recruiting process and reconsider their decision in light of what they find. Occasionally the information in SMPs leads to employment but often, it has a negative effect on hiring decisions leading to rejection. While no employability criteria appears to be used for social media screening, employers are negatively affected by profanity, reference to drugs, alcohol, or posts of sexual nature. However, positively impressed by references to voluntarism or charitable activities. Employability skills comprise soft skills, attitudes and personality traits. They are generic, non-subject domain specific, nontechnical, intangible attributes, related to one’s personality and professionalism. The current work investigates how people can curate their SMPs to display employability skills. To do so, it presents ESCORT: Employability Skills COntent cuRation Tool which was designed and developed to support the assessment of SMPs and guide the curation of the same.

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Acknowledgment

This work is supported by the Eduworks Marie Curie Initial Training Network Project (PITN-GA-2013-608311) of the European Commission’s 7th Framework programme. We thank Stéphanie Gauttier for her contribution in the first steps of this endeavor and the employability skills review.

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Correspondence to Inmaculada Arnedillo-Sánchez .

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Arnedillo-Sánchez, I., Tseloudi, C. (2017). ESCORT: Employability Skills COntent cuRation Tool for Social Media Profiles. In: Lavoué, É., Drachsler, H., Verbert, K., Broisin, J., Pérez-Sanagustín, M. (eds) Data Driven Approaches in Digital Education. EC-TEL 2017. Lecture Notes in Computer Science(), vol 10474. Springer, Cham. https://doi.org/10.1007/978-3-319-66610-5_55

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  • DOI: https://doi.org/10.1007/978-3-319-66610-5_55

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-66609-9

  • Online ISBN: 978-3-319-66610-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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