Reputation Watch

Thursday, August 7, 2014
An eye-catching headline has been making the rounds on social media over the last week: “Cat-Stalking Map Lets the Internet Know Where Your Kitty Lives.” While everyone and their mother loves a good cat-related article, this specific story should...
Monday, June 2, 2014
On May 27, the Federal Trade Commission published a report that highlights the amount of personal information harvested by data brokers. The FTC looked at nine of the top names in the big data business -- Acxiom, CoreLogic, Datalogix, eBureau, ID...
Thursday, August 7, 2014
An eye-catching headline has been making the rounds on social media over the last week: “Cat-Stalking Map Lets the Internet Know Where Your Kitty Lives.” While everyone and their mother loves a good cat-related article, this specific story should...
Tuesday, July 22, 2014
Over the last decade, social media has undergone massive transformation – and the change is ongoing. While Facebook started out merely as a way for undergrads to mingle, now nearly every business has a page and works on attracting ‘likes.’ Twitter...
Thursday, August 7, 2014
An eye-catching headline has been making the rounds on social media over the last week: “Cat-Stalking Map Lets the Internet Know Where Your Kitty Lives.” While everyone and their mother loves a good cat-related article, this specific story should...

Take Our Poll

Have you ever posted something online that you later regretted?

Yes
33% (4 votes)
No
67% (8 votes)
Total votes: 12

Did You Know?

Types of online reputation information that influenced decisions to reject a candidate include:

  • concerns about the candidate's lifestyle (58%),
  • inappropriate comments and text written by the candidate (56%), unsuitable photos, videos, and information (55%),
  • inappropriate comments or text written by friends or relatives (43%),
  • comments criticizing previous employers, co-workers, or clients (40%),
  • inappropriate comments or text written by colleagues or work acquaintances (40%),
  • membership in certain groups and networks (35%),
  • discovered that information the candidate shared was false (30%),
  • poor communication skills displayed online (27%)
  • concern about the candidate's financial background (16%).

(Microsoft, 2010)