Anyone with Web access can edit Wikipedia. However, only a small percentage of women take advantage of that privilege.

A look at the encyclopedia's <a href="https://meta.wikimedia.org/w/index.php?title=File:Editor_Survey_Report_-_April_2011.pdf&amp;page=3">demographics</a> shows that 91% of its active editors are men, meaning just nine percent are women.

In commemoration of Women's History Month, a group of Wikipedia editors – both male and female – had a frank, <a href="https://en.wikipedia.org/wiki/Wikipedia:Wikipedia_Signpost/2012-03-12/Women_and_Wikipedia">round-table discussion</a> about how to make steps toward closing that gender gap. The chat was organised and written up by <a href="https://en.wikipedia.org/wiki/User:SarahStierch">Sarah Stierch</a>, a Wikimedia Community Fellow who aims to bring more women and women&rsquo;s content to Wikipedia.

Some women at this year's Consumer Electronics Show in Las Vegas have expressed their frustration at the scantily-clad "booth babes" hired by some companies to promote their stalls.

The BBC's Matt Danzico investigates whether this practice is an effective marketing strategy, or merely a reflection on gender relations in technology.

"When you tweet--even if you tweet under a pseudonym--how much do you reveal about yourself? More than you realize, argues a new paper from researchers at the Mitre Corporation. The paper, "Discriminating Gender on Twitter," which is being presented this week at the Conference on Empirical Methods in Natural Language Processing in Scotland, demonstrates that machines can often figure out a person's gender on Twitter just by reading their tweets. And such knowledge is power: the findings could be useful to advertisers and others."<br />
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Gender-skewed words for men: "http" and "google". For women: "chocolate" and "husband", among many others. Can an algorithm stereotype? Then again, it's right about 75% of the time at present.