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Detecting Suicidal Ideation on Social Media Using Large Language Models with Zero-Shot Prompting:
Detecting Suicidal Ideation on Social Media Using Large Language Models with Zero-Shot Prompting:

[u' @inproceedings{nikmehr_detecting_2025, address = {Porto, Portugal}, title = {Detecting {Suicidal} {Ideation} on {Social} {Media} {Using} {Large} {Language} {Models} with {Zero}-{Shot} {Prompting}:}, isbn = {9789897587436}, shorttitle = {Detecting {Suicidal} {Ideation} on {Social} {Media} {Using} {Large} {Language} {Models} with {Zero}-{Shot} {Prompting}}, url = {https://www.scitepress.org/DigitalLibrary/Link.aspx?doi=10.5220/0013283400003938}, doi = {10.5220/0013283400003938}, urldate = {2025-07-15}, booktitle = {Proceedings of the 11th {International} {Conference} on {Information} and {Communication} {Technologies} for {Ageing} {Well} and e-{Health}}, publisher = {SCITEPRESS - Science and Technology Publications}, author = {Nikmehr, Golnaz and Bilbao-Jayo, Aritz and Henriksson, Aron and Almeida, Aitor}, year = {2025}, keywords = {AI for health, LLM, NLP, Natural language processing, machine learning, mental health, online social networks, social network analysis, social networks, suicidal ideation}, pages = {259--267}, } ']
Abstract