Matches in SemOpenAlex for { <https://semopenalex.org/work/W4328118219> ?p ?o ?g. }
Showing items 1 to 89 of
89
with 100 items per page.
- W4328118219 endingPage "146144482311605" @default.
- W4328118219 startingPage "146144482311605" @default.
- W4328118219 abstract "Advances in machine learning have led to the creation natural language models that can mimic human writing style and substance. Here we investigate the challenge that machine-generated content, such as that produced by the model GPT-3, presents to democratic representation by assessing the extent to which machine-generated content can pass as constituent sentiment. We conduct a field experiment in which we send both handwritten and machine-generated letters (a total of 32,398 emails) to 7132 state legislators. We compare legislative response rates for the human versus machine-generated constituency letters to gauge whether language models can approximate inauthentic constituency voices at scale. Legislators were only slightly less likely to respond to artificial intelligence (AI)-generated content than to human-written emails; the 2% difference in response rate was statistically significant but substantively small. Qualitative evidence sheds light on the potential perils that this technology presents for democratic representation, but also suggests potential techniques that legislators might employ to guard against misuses of language models." @default.
- W4328118219 created "2023-03-22" @default.
- W4328118219 creator A5001527630 @default.
- W4328118219 creator A5022385453 @default.
- W4328118219 date "2023-03-20" @default.
- W4328118219 modified "2023-10-16" @default.
- W4328118219 title "The potential impact of emerging technologies on democratic representation: Evidence from a field experiment" @default.
- W4328118219 cites W1899270864 @default.
- W4328118219 cites W1979812780 @default.
- W4328118219 cites W1994179230 @default.
- W4328118219 cites W2019887004 @default.
- W4328118219 cites W2103265779 @default.
- W4328118219 cites W2148141426 @default.
- W4328118219 cites W2151486923 @default.
- W4328118219 cites W2154353534 @default.
- W4328118219 cites W2157958275 @default.
- W4328118219 cites W2167112069 @default.
- W4328118219 cites W2341386271 @default.
- W4328118219 cites W2766708357 @default.
- W4328118219 cites W2810895876 @default.
- W4328118219 cites W2942465698 @default.
- W4328118219 cites W3033460862 @default.
- W4328118219 cites W3037267422 @default.
- W4328118219 cites W3121596465 @default.
- W4328118219 cites W3173581459 @default.
- W4328118219 cites W3201290078 @default.
- W4328118219 cites W4210571216 @default.
- W4328118219 cites W4232480655 @default.
- W4328118219 cites W4238366431 @default.
- W4328118219 cites W4283461431 @default.
- W4328118219 cites W3123463337 @default.
- W4328118219 doi "https://doi.org/10.1177/14614448231160526" @default.
- W4328118219 hasPublicationYear "2023" @default.
- W4328118219 type Work @default.
- W4328118219 citedByCount "2" @default.
- W4328118219 countsByYear W43281182192023 @default.
- W4328118219 crossrefType "journal-article" @default.
- W4328118219 hasAuthorship W4328118219A5001527630 @default.
- W4328118219 hasAuthorship W4328118219A5022385453 @default.
- W4328118219 hasConcept C119857082 @default.
- W4328118219 hasConcept C137293760 @default.
- W4328118219 hasConcept C141141315 @default.
- W4328118219 hasConcept C154945302 @default.
- W4328118219 hasConcept C17744445 @default.
- W4328118219 hasConcept C199360897 @default.
- W4328118219 hasConcept C199539241 @default.
- W4328118219 hasConcept C202444582 @default.
- W4328118219 hasConcept C204321447 @default.
- W4328118219 hasConcept C2776359362 @default.
- W4328118219 hasConcept C33923547 @default.
- W4328118219 hasConcept C41008148 @default.
- W4328118219 hasConcept C555826173 @default.
- W4328118219 hasConcept C83009810 @default.
- W4328118219 hasConcept C94625758 @default.
- W4328118219 hasConcept C9652623 @default.
- W4328118219 hasConceptScore W4328118219C119857082 @default.
- W4328118219 hasConceptScore W4328118219C137293760 @default.
- W4328118219 hasConceptScore W4328118219C141141315 @default.
- W4328118219 hasConceptScore W4328118219C154945302 @default.
- W4328118219 hasConceptScore W4328118219C17744445 @default.
- W4328118219 hasConceptScore W4328118219C199360897 @default.
- W4328118219 hasConceptScore W4328118219C199539241 @default.
- W4328118219 hasConceptScore W4328118219C202444582 @default.
- W4328118219 hasConceptScore W4328118219C204321447 @default.
- W4328118219 hasConceptScore W4328118219C2776359362 @default.
- W4328118219 hasConceptScore W4328118219C33923547 @default.
- W4328118219 hasConceptScore W4328118219C41008148 @default.
- W4328118219 hasConceptScore W4328118219C555826173 @default.
- W4328118219 hasConceptScore W4328118219C83009810 @default.
- W4328118219 hasConceptScore W4328118219C94625758 @default.
- W4328118219 hasConceptScore W4328118219C9652623 @default.
- W4328118219 hasLocation W43281182191 @default.
- W4328118219 hasOpenAccess W4328118219 @default.
- W4328118219 hasPrimaryLocation W43281182191 @default.
- W4328118219 hasRelatedWork W1555028051 @default.
- W4328118219 hasRelatedWork W1564016688 @default.
- W4328118219 hasRelatedWork W2087233771 @default.
- W4328118219 hasRelatedWork W2318218736 @default.
- W4328118219 hasRelatedWork W2323491410 @default.
- W4328118219 hasRelatedWork W2527646646 @default.
- W4328118219 hasRelatedWork W3138835292 @default.
- W4328118219 hasRelatedWork W4285358150 @default.
- W4328118219 hasRelatedWork W4303413580 @default.
- W4328118219 hasRelatedWork W4376616602 @default.
- W4328118219 isParatext "false" @default.
- W4328118219 isRetracted "false" @default.
- W4328118219 workType "article" @default.