Sites/blogs/communities and Services for collecting data:8 news sites and 3 online magazines Social (including Facebook, LinkedIn, twitter, orkut, google plus)Blogs (Word Press and Blogger)Videos (YouTube)Forums and Message Boards Bookmarks (Digg and Delicious)Search Engines (Google)Data to Collect:PostLink to PostWho posted it (user name, full name, email if available, profile link)Where it was posted (what site, community, page)When it was posted (time and date)Title of the post CommentWho posted it (user name, full name, email if available, profile link)Where it was posted (what site, community, page)When it was posted (time and date)what are the author connections? Way to detect massive postsOther Data:App will read in settings from xls or txt (including search terms, exclusions, sites to ignore, period of the searches, etc ).App will write out results to xls and create statistics about authors, categories, comments and posts.The programmer Will get a xls example with all informations. About the software:1-The program will collect data and an operator will classify the post, comment or notice into categories created;2-Some news must be categorized in real time, so the site will pop an window up asking the operator to read and categorize the information news, post, comment;3-An option for engagement must be available for the operator post a comment (engagement window);4-The operator can set automatic comment considering the category of the information;5- A crisis mode should be available, where a post will be monitoring in real time and whenever a new comment is posted, the operator is alerted of it and also can write down through an engagement window;6-The engagement window need to support proxy and a login list, where the operator can to choose the right user to engage that situation.Sites/blogs/communities and Services for collecting data:8 news sites and 3 online magazines Social (including Facebook, LinkedIn, twitter, orkut, google plus)Blogs (Word Press and Blogger)Videos (YouTube)Forums and Message Boards Bookmarks (Digg and Delicious)Search Engines (Google)Data to Collect:PostLink to PostWho posted it (user name, full name, email if available, profile link)Where it was posted (what site, community, page)When it was posted (time and date)Title of the post CommentWho posted it (user name, full name, email if available, profile link)Where it was posted (what site, community, page)When it was posted (time and date)what are the author connections? Way to detect massive postsOther Data:App will read in settings from xls or txt (including search terms, exclusions, sites to ignore, period of the searches, etc ).App will write out results to xls and create statistics about authors, categories, comments and posts.The programmer Will get a xls example with all informations. About the software:1-The program will collect data and an operator will classify the post, comment or notice into categories created;2-Some news must be categorized in real time, so the site will pop an window up asking the operator to read and categorize the information news, post, comment;3-An option for engagement must be available for the operator post a comment (engagement window);4-The operator can set automatic comment considering the category of the information;5- A crisis mode should be available, where a post will be monitoring in real time and whenever a new comment is posted, the operator is alerted of it and also can write down through an engagement window;6-The engagement window need to support proxy and a login list, where the operator can to choose the right user to engage that situation.
