Employer and Recruiter use of Cyber-vetting Presented by Sam Young Research by Ellie Fijn & Sam Young
Outline • Why we are interested – Background • Who we are asking • What we are finding – Early results • Where to next
W hy w e are interested
Background • Platforms • Private becomes public (BusinessDictionary.com, n.d.; Quora, 2013; Technopedia, n.d.; Donath , 2014, p. 283; Berkelaar, 2014, p. 480)
Issues • Privacy % Content turning off employers • Legality 46% “ Provocative or inappropriate photographs, videos or information ” • International trends 43% “ Information about candidate drinking or using drugs ” • New Zealand? 33% “ Discriminatory comments related to race, religion, gender , etc ” 31% “ Candidate bad-mouthed previous company or fellow employee ” 29% “ Poor communication skills ” (Mills & Hall, 2014; The Privacy Act, 1993; Sánchez Abril, Levin & Del Riego, 2012, p. 87; CareerBuilder, 2016; Office of the Privacy Commissioner, n.d.)
What we are Finding
What we are Finding
Who We are Asking % Response • Two surveys live at present – Employers Organisation industry categories (n=46) – Recruiters Professional, scientific, technical, administrative and support services 35% Manufacturing 12% • Third to come 27% Agriculture, fishing or forestry 9% Nelson/ Tasman – Students Information media and telecommunications 9% Health care and social assistance 9% Retail trade and accommodation 6% Other New 73% Zealand Arts and recreation 6% Wholesale trade 3% Transport, postal and warehousing 3% Financial and insurance services 3% Hospitality 3% Government/Public sector not covered elsewhere 3% (Question 15, All respondent data, 2016)
Who We Are Asking Respondent's Business Size (n=41) Recruiter's Business Size (n=5) Micro (5 employees or fewer) 20% 20% 13% 22% Small (6-49 employees) 6% 1-49 employers 50-199 employers 200-499 employers 59% Medium (50-99 employees) 60% Large (100 employees and greater) (Question 14, All respondent data, 2016) (Question 14, Recruiter data, 2016)
What we are Finding Employer Done by Recruiter Done by Pre-employment tasks (41 businesses + 5 recruiters = 46 organisations) Job sizing analysis 78% 22% Review job description & person specification 87% 13% Write & post job ad to job boards (ie, intranet, social media, 80% 20% TradeMe, Seek etc) Candidate background search 81% 19% Longlist candidates (‘first cut’) 79% 21% Shortlist candidates 89% 11% Interview 87% 13% Candidate referee checks 82% 18% Candidate testing (personality, digital literacy etc) 68% 32% (Question 4, All respondent data, 2016)
Which platforms are used for pre- screening prospective employees (n=46) Google search 28% 30% Google image search 8% Professional media platforms 34% (such as LinkedIn, business Twitter account or business Blog) Social media platforms (such as Facebook, YouTube, Instagram, Pinterest, Tumblr) (Question 5, All respondent data, 2016)
Which platforms are used by recruiters for pre-screening prospective employees (n=5) 22% Google search 22% Google image search 19% 37% Professional media platforms (such as LinkedIn, business Twitter account or business Blog) Social media platforms (such as Facebook, YouTube, Instagram, Pinterest, Tumblr) (Question 5, Recruiter respondent data, 2016)
Which platforms are used for pre- screening prospective employees (n=46) 100% 90% 80% 70% 60% 50% Not done 40% Done by 30% Recruiter 20% Done by 10% Employer 0% Google search Google image search Professional media Social media platforms (such as platforms (such as LinkedIn, business Facebook, YouTube, Twitter account or Instagram, Pinterest, business Blog) Tumblr) (Question 6, All respondent data, 2016)
What characteristics are sought, by platform, for pre-screening prospective employees (n=46 x 6 characteristics) Competence Ethics Professionalism the company Views that align with Stage Appearance / Age / damaging behaviours Potentially risky or N/A Characteristics sought in background checks by platform (n=46) Google search 10 17 22 19 12 22 5 Google image search 3 6 9 7 16 10 11 Professional media platforms (such as LinkedIn, business Twitter account or 27 21 29 17 12 12 3 business Blog) Social media platforms (such as Facebook, YouTube, Instagram, 9 17 15 17 15 25 0 Pinterest, Tumblr) (Question 7, All respondent data, 2016)
What characteristics are sought by platform for pre-screening prospective employees (n=46 x 6) 140 120 100 N/A Potentially risky or reputation 80 damaging behaviours Appearance / Age / Stage 60 Views that align with the company Professionalism 40 Ethics Competence 20 0 Google search Google image search Professional media Social media platforms (such as platforms (such as LinkedIn, business Facebook, YouTube, Twitter account or Instagram, Pinterest, (Question 7, All respondent data, 2016) business Blog) Tumblr)
Are prospective staff asked for passwords during pre-screening (n=46) • No: 100% • Comments – that's going too far.... – Privacy issues. – Breach of the Privacy Act. (Question 8, All respondent data, 2016)
Ask friends of prospective staff to show profiles during pre-screening (n=35) • More divided • Comments 14% – Breach of the Privacy Act. – going too far.... – Only if not already a member of the pages. Yes Anonymous browsing however is preferable as No friends will tip of (sic) the search.... 86% (Question 8, All respondent data, 2016)
What benefits, risks and risk solutions are identified Category Code Count Code% • Three questions Employer Risk Identifying Risk 67 12% • Opinions sought, using text boxes Employer Risk Reducing Risk 29 5% • 158 responses Employer Risk Accuracy 55 10% Employer Risk Limit Weighting 46 8% • Thematic analysis, emergent codes Employer Risk Cost 15 3% Employer Risk Anonymous 16 3% Employee Knowledge Verifying 53 9% Employee Knowledge Cultural Fit 64 11% Employee Knowledge Professionalism 39 7% Employee Knowledge Holistic View 60 11% Time Old 17 3% Time Current 16 3% Boundaries Privacy 43 8% Boundaries Openness 38 7% (Question 10-12, All respondent data, 2016)
Last Words • Social media = Facebook • Professional media = Linkedin • Recruiter comment: “ This survey had made me consider approaching schools, year 12 & 13 to help students understand how their Facebook is viewed by other people than their friends... And how it influences employers ” (Question 16, All respondent data, 2016)
Overall impressions (n=46) • Kiwi employers seem balanced Cybervetting? • Seems to be an awareness of boundaries • Recruiters and business views are similar 87% • Some very candid responses 13% Yes No (All respondent data, 2016; CareerBuilder, 2016)
Where to next • More data this year • Then analysis • Complete in 2017
Bibliography Berkelaar, Brenda L. (2014). Cybervetting, Online Information, and Personnel Selection: New Transparency Expectations and the Emergence of a Digital Social Contract. Management Communication Quarterly , July 2014, Volume 28, issue 4 (pp. 479-506) BusinessDictionary.com (n.d.). Definition of online media . Retrieved 5 July 2016 from http://www.businessdictionary.com/definition/online-media.html Charlie (n.d.). Home . Retrieved 25 September 2016 from https://charlieapp.com/ Donath, Judith (2014). The Social Machine: Designs for Living Online . USA: The MIT Press. Mills, Jennifer & Hall, Christie (3 April 2014). When social networking and employment collide. Retrieved 3 June 2016 from http://www.adls.org.nz/for-the-profession/news-and- opinion/2014/4/3/when-social-networking-and-employment-collide/ Office of the Privacy Commissioner (n.d.). Privacy . Retrieved 29 September 2016 from https://privacy.org.nz/glossary/#publicly Privacy Act, The . (1993). Reprint, 1 March 2016. Wellington, New Zealand: New Zealand Government. Quora (2013). What is a digital platform? And how does it differ from campaigns or branding? Retrieved 5 July 2016 from https://www.quora.com/What-is-a-digital-platform-And-how-does- it-differ-from-campaigns-or-branding Sánchez Abril, Patricia, Levin, Avner & Del Riego, Alissa (2012). Blurred boundaries: Social media privacy and the twenty ‐ first ‐ century employee. American Business Law Journa l, March 2012, Volume 49, issue 1 (pp. 63-124). Technopedia (n.d.). Definition of Social Networking Site (social media platform). Retrieved 5 July 2016 from https://www.techopedia.com/definition/4956/social-networking-site-sns
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