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@kubikpixel@chaos.social  Β·  activity timestamp 4 weeks ago

Curlie - The Collector of URLs

Some search engines for the web are also based on @Curlie, among other things. You can also enter your websites in this so that they can be found more easily when people search for keywords that relate to your pages.

🐿️ https://curlie.org

#websearch #searchengine #collection #url #curlie #internet #webfind #find #webpage #web #followerfriday #website #keywords

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Andreas Wagner boosted
JCLS
JCLS
@jcls@fedihum.org  Β·  activity timestamp last month

By randomizing #LLM prompts and analyzing moral #keywords via co-occurrence #networks and hierarchical clustering, @andrewpiper uncovers latent β€œmoral communities” across 20th–21st century #English-language #fiction.
https://doi.org/10.48694/jcls.4168

Relative frequency of moral clusters by decade, comparing hierarchical and network-based clustering methods. Each line represents a moral cluster labeled by its most frequent keyword, with vertical position indicating the proportion of total moral keyword mentions assigned to that cluster in each decade.
Relative frequency of moral clusters by decade, comparing hierarchical and network-based clustering methods. Each line represents a moral cluster labeled by its most frequent keyword, with vertical position indicating the proportion of total moral keyword mentions assigned to that cluster in each decade.
Relative frequency of moral clusters by decade, comparing hierarchical and network-based clustering methods. Each line represents a moral cluster labeled by its most frequent keyword, with vertical position indicating the proportion of total moral keyword mentions assigned to that cluster in each decade.
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JCLS
JCLS
@jcls@fedihum.org  Β·  activity timestamp last month

By randomizing #LLM prompts and analyzing moral #keywords via co-occurrence #networks and hierarchical clustering, @andrewpiper uncovers latent β€œmoral communities” across 20th–21st century #English-language #fiction.
https://doi.org/10.48694/jcls.4168

Relative frequency of moral clusters by decade, comparing hierarchical and network-based clustering methods. Each line represents a moral cluster labeled by its most frequent keyword, with vertical position indicating the proportion of total moral keyword mentions assigned to that cluster in each decade.
Relative frequency of moral clusters by decade, comparing hierarchical and network-based clustering methods. Each line represents a moral cluster labeled by its most frequent keyword, with vertical position indicating the proportion of total moral keyword mentions assigned to that cluster in each decade.
Relative frequency of moral clusters by decade, comparing hierarchical and network-based clustering methods. Each line represents a moral cluster labeled by its most frequent keyword, with vertical position indicating the proportion of total moral keyword mentions assigned to that cluster in each decade.
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