Suicide Classification for News Media Using Convolutional Neural Networks

Currently, the process of evaluating suicide is highly subjective, which limits the efficacy and accuracy of prevention efforts. Artificial intelligence (AI) has emerged as a mean of investigating large datasets to identify patterns within 'big data' that can determine the factors on suici...

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Published in:Health communication 2023-10, Vol.38 (10), p.2178-2187
Main Authors: Bello, Hugo J., Palomar-Ciria, Nora, Baca-García, Enrique, Lozano, Celia
Format: Article
Language:English
Subjects:
Artificial Intelligence
Artificial neural networks
Big Data
Efficacy
Humans
Mass Media
Neural networks
Neural Networks, Computer
News media
Prevention
Prevention programs
Social Media
Suicidal behavior
Suicide
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creator Bello, Hugo J.
Palomar-Ciria, Nora
Baca-García, Enrique
Lozano, Celia
description Currently, the process of evaluating suicide is highly subjective, which limits the efficacy and accuracy of prevention efforts. Artificial intelligence (AI) has emerged as a mean of investigating large datasets to identify patterns within 'big data' that can determine the factors on suicide outcomes. Here, we used AI tools to extract the topic from (press and social) media texts. However, news media articles lack of suicide tags. Using tweets with hashtags related to suicide, we trained a neuronal model that identifies if a given text has a suicide-related topic. Our results suggest a high level of impact of suicide cases in the media, and an intrinsic thematic relationship of suicide news. These results pave the way to build more interpretable suicide data from the media, which may help to better track, understand its origin, and improve prevention strategies.
doi_str_mv 10.1080/10410236.2022.2058686
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source Applied Social Sciences Index & Abstracts (ASSIA); Taylor and Francis Social Sciences and Humanities Collection
subjects Artificial Intelligence
Artificial neural networks
Big Data
Efficacy
Humans
Mass Media
Neural networks
Neural Networks, Computer
News media
Prevention
Prevention programs
Social Media
Suicidal behavior
Suicide
title Suicide Classification for News Media Using Convolutional Neural Networks
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