Current Blog Entries by Larry Fry, CCP, MBA

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Web Data Mining and Orwellian Risks for Abuse at the Private Individual Level

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This posting consists of my comments per a guest post published on Forbes.com by Chris Taylor, a technologist with TIBCO Software, founder of successfullworkplace.com, & fellow member of LinkedIn group ‘Disruptive Technologies’.

The ever burgeoning data explosion and the resulting technologies being developed to interpret meaningful information from it (e.g., Data Mining; interpretive/predictive analytics; etc.) are here to stay.  The competitive advantages which stand to be gained by companies and the military/security sectors of governments that can effectively glean valuable information from the morass of personal data now available on the world-wide web is immense.  Personal data that is gathered and analyzed/stored at a sector group level seems to present less of a threat to each individual’s personal privacy when used in traditional ways (e.g., company marketing studies).  But the “Orwellian” risks for abuse at the private individual level as the current data mining technologies in use become increasingly more sophisticated cannot be ignored.  Furthermore, the judicial systems of developed countries have not been keeping pace with the burgeoning privacy violation ramifications of the information revolution that is currently taking place.  Exacerbating all of this is the fact that for increased revenue purposes, social networking users are being urged by the likes of Facebook’s Mark Zuckerberg to become more transparent by revealing more of their personal information on these sites; a factor which is serving to make personal transparency in public forums a current “popular culture dynamic”.  So the genie is definitely out of the bottle here, which should behoove users of all social networking sites to become more familiar with the “primitive” privacy settings made available by the provider and use them to tailor who gets to see what parts of their personal information that gets generated as time goes by.

Finally, to effectively manage the increasingly sophisticated video parsing technologies currently being utilized by data mining entities, the use of iconic “monikers” in lieu of facial snapshots for one’s social networking sites would be the best option to use in order to remain anonymous per the analysis of video data by companies (and unscrupulous governments, where they may exist).  In addition, video and photo tagging on social networking sites should also be meticulously controlled via one’s privacy settings as well.

Link to Chris Taylor’s article “While You Slept Last Night: Big Data, Privacy, and the Public Square” – http://www.forbes.com/sites/kashmirhill/2012/08/28/while-you-slept-last-night-big-data-privacy-and-the-public-square/

Chris Taylor’s twitter handle is @Successful Work.

Interested LinkedIn readers are invited to join ‘Disruptive Technologies’ group for discussions on this & similar issues!

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