@cliff i’m not convinced it’s _useless_; there’s a bit of heat there.
but it’s totally smog everything & it’s being pushed irresponsibly.
so with the industrial revolution came great migrations, to the new world & to the cities, and folks brought with them their lore: fairies and elves and spirits and gnomes, that explained the world around them.
imagine telling a mfer from 1809 that you caught an elf in a jar, and that it’s wicked smart, lies constantly, and yr gonna start doing what he says
@samhainnight @cliff @cordelya It doesn’t help that all the commercial publishers are weekly changing summaries and dates for SEO.
I don’t think we were more than a few weeks into 2023 than my search for “best xxx” returned pages of “best xxx of 2023”.
It doesn’t bother me so much that everyone’s trying to game the system…of course they are. What bothers me is that the search engines seem to have stopped caring.
But it all makes sense when you apply Doctorow’s “enshittification” model. They’ve completely stopped focusing on users. All they care about is advertisers. So who cares if the search results are garbage, so long as they get to put ads on them?
@cliff @emc2 The research and literature speak of mis/dis/ and mal (MDM) information. The study is more nuanced so the pollution concept would have to be adapted.
From https://proprivacy.com/privacy-news/what-is-mal-information
Misinformation – false information thought to be true by those disseminating it, often linked to sincerely held yet erroneous beliefs.
Disinformation – false information being purposefully disseminated by those who hope it will resonate with a particular type of audience and achieve some behavioral outcome.
Mal-information – Information circulated in order to create some negative outcome such as sowing division, which can either be true or false information.
A response guide from CISA:
https://www.cisa.gov/sites/default/files/publications/mdm-incident-response-guide_508.pdf
@cliff Good metaphor. Related to "Data Smog" (Shenk, 1997)
https://en.wikipedia.org/wiki/Data_Smog
I think the difference is that most real pollution is a bad side effect of producing or doing something of actual value. Today, "AI" producers are creating pollution and telling us that the pollution itself is great stuff.
@cliff
Whitney Phillips and Ryan M. Milner have done some work along these lines in You Are Here
A Field Guide for Navigating Polarized Speech, Conspiracy Theories, and Our Polluted Media Landscape and elsewhere - they talk about it in a Project Information Literacy literacy interview here:
Thinking Ecologically about Our Polluted Information Networks
https://projectinfolit.org/smart-talk-interviews/polluted-information-networks/
@cliff I'm with you.
So far, GPT has shown itself to be at least as gullible as the sort of people who make sure that misinformation spreads faster amd further than verifiable truth.
And it seems to be even better at the "loud, confident and wrong" act than humans.