Determining a digital profile from public social media information.
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Transcript of Determining a digital profile from public social media information.
DETERMINING A DIGITAL PROFILE FROM PUBLIC SOCIAL MEDIA INFORMATIONDepartment of Informatics, School of Informatics and Engineering2013/14
KAROLINA STAMBLEWSKA
B00075232
Outline Motivation Review of existing tools Data harvesting Data harvesting with Selenium 2.0 Resolving e-mail address Demo Results
Motivation CPL “Employment Market monitor report” indicates that 60% of them using social media sources for pre-screening or for background digital footprinting job applicants’ prior to employment (CPL, Q3, 2013)
Options Regularly Sometimes Never Do not
approve
of this
Google 13% 26% 53% 8%
LinkedIn 30% 41% 24% 5%
Facebook 9% 22% 59% 10%
Google+ 3% 7% 81% 9%
Other 10% 4% 77% 9%
Motivationjobseekers
lying or exaggerating
Fasle claim to speak antother language
inflating IT skills
Global-Lingo.com surveys UK jobseekers market in Q1 2014
63% of jobseekers admitted to lying on their CV !!!!!!
Motivation – “resume-less”
“Having an ability to showcase and validate a candidate’s work through a social graph (Twitter, About.me, Facebook, Slideshare, Google+, forums, etc.), search engine footprint (special URL references to projects, linkbacks, publications, etc.), network connections is much more powerful than just 1 – 2 pages and 3 prepped references. The prospective employer now has an ability to fully evaluate a candidate and understand if they are a fit or not based on actual work, not just 2 pages of crafty wording.”
#socialCV Mr. Vala Afshar (Chief Customer Officer @Enterasys)
Motivation – GitHub “Forget LinkedIn: Companies turn to GitHub to find tech talent” – CNET.COM
In the red-hot market for skilled software engineers, companies looking to make great hires are discovering that relying on traditional services that showcase candidates' work histories -- but not their actual work -- is a great way to miss out on the best available talent.
GitHub, a place where hiring managers and recruiters alike are increasingly turning to find not just the potential employees who look best on paper, but the ones that actively (and publicly) demonstrate their capabilities.
Data harvesting Website Application Programming Interface (also called Web API ) – provides client with interface query over website provider database via HTTP request messages. In result client gets data output in XML or JSON.
Web scraping – software based technique, which transform the unstructured data on the web (typically HTML), into structured data that can be stored and analysed
Web harvesting - caveats
Web 2.0 - highly driven on AJAX and dynamically populate HTML depends on user’s preferences and various conditions
Basic python libraries don’t catch all source code, as object may be hidden or event driven
Usually secure with SSL/TLS
Selenium 2.0 has capability like native webdriver imitate the functionality of Android, Firefox, Google Chrome, Internet Explorer, Safari, Opera and event JavaScript HtmlUnit framework Phantomjs
perfect for dynamic populated elements
allows selecting elements via various html attributes from tag name, id to Xpath and even CSS selector
Caveats Solution
Resolving e-mail address Network Method Extra Details
1 Facebook Direct
2 Twitter Gmail
3 SlideShare.n
et
Direct Advance search, by user
4 Academia.edu Gmail
5 Github Semi-Direct Specific query over local-part of
e-mail address
6 LinkedIn Gmail Caveats
1) not resolving e-mail address
until, user send invitation to
e-mail address owner
2) caching previous search
queries and suggest them in
next query round
ResultsOverview of performance test of three open source search engine vs. implemented prototype (ScrapYA).
gravatar
stumbleupon
Youtube
pintrest
foursquare
ebay
soundCloud g+
slideshare
0123456789
people smartpiplspokeoscrapYA
ResultsRefined result of search test to the Social Media platforms implemented by the prototype (ScrapYA).
github
slideshare
academia.edu
0%
20%
40%
60%
80%
100%
scrapYAspokeopiplpeople smart