Clark School Home UMD

ISR News Story

Cukier study: female user names receive overwhelming amount of unwanted messages


Assistant Professor Michel Cukier (ME) and his sophmore computer engineering student Robert Meyer recently found that female-name internet relay chat (IRC) users receive 25 times more threatening and/or sexually explicit private messages than those with male or ambiguous usernames. Their study will be published in the proceedings of the IEEE Conference on Dependable Systems and Networks in June. In the meantime, it is making headlines in the media.

Alex Dominguez of the Associated Press wrote about the research in a story that has been picked up by major organizations such as ABC News, The Washington Post The Boston Herald, The San Francisco Chronicle and USA Today. The story also has been carried on radio and online (see links below).

| Read the Clark School press release | American Public Media's Future Tense radio story | New York Post story | InformationWeek story | WTOP radio story | Physorg.com | WJZ-TV 13 (Baltimore) | ComputerAct!ve (UK) | WJLA-TV |

April 30, 2007--The study resurfaces as a reference in a front-page Washington Post story on harassment of female bloggers.

May 9, 2006


Prev   Next

 

 

Current Headlines

Can Cascading Pools Help Restore the Chesapeake Bay?

Maryland students place third in autonomous drone race

Bhattacharyya awarded NIH Grant to Explore Real-time Neural Decoding for Calcium Imaging

UMD Transportation Experts Awarded $1 Million DOE Grant to Reduce Transportation Energy Use and Emissions

With Engineering Projects, UMD Students Seek to Boost Education Access, Public Health, and Sustainability

Maryland Robotics Center students participate in FAA STEM outreach event

Shoukry, Krishnaprasad receive NSF grant for resilient-by-cognition cyber-physical systems

Maryland Robotics Center sponsors grad student project on robotics in farming

UMD researchers awarded $1M NSF grant to develop new methods to generate single photons for quantum research

NSF funds Shamma, Espy-Wilson for neuromorphic and data-driven speech segregation research

News Resources

Return to Newsroom

Search News

Archived News

Events Resources

Events Calendar