Large Language Models as Search Engines: Societal Challenges

Institutions

Publication Details

Journal
SPIRE - Sciences Po Institutional REpository
Published
2025-06-01
DOI
https://doi.org/10.1145/3769733.376974
Primary Topic
Computational and Text Analysis Methods
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Large Language Models as Search Engines: Societal Challenges

SPIRE - Sciences Po Institutional REpository
Computational and Text Analysis Methods
article

Large Language Models as Search Engines: Societal Challenges

article en

Abstract

No abstract available for this paper.
SPIRE - Sciences Po Institutional REpository
Télécom Paris (FR), École Polytechnique (FR), Institut Mines-Télécom (FR), Institut Polytechnique de Paris (FR), Laboratoire Traitement et Communication de l’Information (FR)
Agence Nationale de la Recherche
Openalex Percentile: Top 10%
Computational and Text Analysis Methods
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Large Language Models as Search Engines: Societal Challenges · SPIRE - Sciences Po Institutional REpository (2025) | TGRS Research Map | TGRS