The Independent Sentinel reported:
A Communist New York University professor Sam LaVigne created a database of over 1,500 Immigration and Customs Enforcement (ICE) employees’ personal information and spread it to Antifa.
The intent was to intimidate, threaten, and harm ICE agents and their families.
He needs to be fired but NYU is very hard-left these days.
After creating the database, he shared it to his 3,600 followers on Twitter Tuesday morning. The Communist-Anarchist Antifa picked it up and spread it around to their violent allies. It also spread to a Reddit subgroup.
“Doxxing [exposing personal information on] ICE agents is good and moral,” one Reddit user posted on a thread that shared the database.
“Dox more Nazis,” another read.
The Florida Family Association (FFA) sent out an email asking members to contact NYU about LaVigne stating:
NYU Professor Sam Lavigne created a data base on 1,595 ICE employees using personal information posted at LinkedIn. Lavigne shared the information with his 3,600 Twitter followers in an effort to doxx the ICE employees. Doxxing is defined as searching for and publishing private personal data with the intent of provoking malice toward the subjects of the doxxing.
GitHub, Medium, and Twitter all pulled Lavigne’s data on the ICE employees. The Daily Caller reports in part: Github, where Lavigne published the database, removed the page, saying it violated its terms of service. “We removed the project because it violates our community guidelines,” a GitHub spokesperson said. “In general, we have policies against use of GitHub for doxxing and harassment, and violating a third party’s privacy.”
Unfortunately, the leftist terrorist group Antifa copied Lavigne’s data base before it was removed by GitHub, Medium, and Twitter.
Florida Family Association has prepared an email urging the NYU Board of Trustees to consider the seriousness of Professor Sam LaVigne’s doxxing and take appropriate disciplinary action. To send an email, please click the below link, enter your name and email address then click the “Send Your Message” button. Readers may also edit the subject or message text if they wish.