teens and twentysomethings today are of a very different demographic and have markedly different media consumption habits compared to Wikipedia’s forebears. Gen Z and Gen Alpha readers are accustomed to TikTok, YouTube, and mobile-first visual media. Their impatience for Wikipedia’s impenetrable walls of text, as any parent of kids of this age knows, arguably threatens the future of the internet’s collaborative knowledge clearinghouse.
The Wikimedia Foundation knows this, too. Research has shown that many readers today greatly value quick overviews of any article, before the reader considers whether to dive into the article’s full text.
So last June, the Foundation launched a modest experiment they called “Simple Article Summaries.” The summaries consisted of AI-generated, simplified text at the top of complex articles. Summaries were clearly labeled as machine-generated and unverified, and they were available only to mobile users who opted in.
Even after all these precautions, however, the volunteer editor community barely gave the experiment time to begin. Editors shut down Simple Article Summaries within a day of its launch.
The response was fierce. Editors called the experiment a “ghastly idea” and warned of “immediate and irreversible harm” to Wikipedia’s credibility.
Comments in the village pump (a community discussion page) ranged from blunt (“Yuck”) to alarmed, with contributors raising legitimate concerns about AI hallucinations and the erosion of editorial oversight.
Well, except for those who do. The problem is a use case mismatch. I’d argue, if anything, an encyclopedia should contain the minutiae. Unfortunately, there’s no huge compendium of brief but accurate and sourced synopsis of the same topics. To be fair, we’ve never really had one.
I agree with the editors that embedded AI summaries are not a good idea (at the moment, at least). Users can bring summarizers to the data set of that’s their want, or someone (maybe even wikimedia) will find a way to provide this in a way that preserves the underlying data’s validity. Stripping Wikipedia of its full context seems like a bad idea.