Evidence map›Paper›PMID 39854497›Full record

ArticlePloS one2025

Gender biases and hate speech: Promoters and targets in the Argentinean political context.

Laia Domenech Burin, Juan Manuel Pérez, Germán Rosati, Magalí Rodrigues Pires, María Nanton, Diego Kozlowski

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Laia Domenech BurinEscuela Interdisciplinaria de Altos Estudios Sociales, Universidad de San Martín, Buenos Aires, Argentina.ORCID 0000-0003-4576-3143
Juan Manuel PérezFacultad de Ciencias Exactas y Naturales, Instituto de Ciencias de la Computación, Universidad de Buenos Aires, Buenos Aires, Argentina.
Germán RosatiEscuela Interdisciplinaria de Altos Estudios Sociales, Universidad de San Martín, Buenos Aires, Argentina.ORCID 0000-0002-9775-0435
Magalí Rodrigues PiresFacultad de Ciencias Exactas y Naturales, Maestría en Data Mining & Knowledge Discovery, Universidad de Buenos Aires, Buenos Aires, Argentina.
María NantonFacultad de Ciencias Exactas y Naturales, Maestría en Data Mining & Knowledge Discovery, Universidad de Buenos Aires, Buenos Aires, Argentina.ORCID 0000-0003-0426-2879
Diego KozlowskiÉcole de Bibliothéconomie et des Sciences de l'information, Université de Montréal, 3150 rue Jean-Brillant, Montréal, QC, Canada.ORCID 0000-0002-5396-3471

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hate speech found in social media a place to flourish. In the Argentinean context, new right-wing parties have disrupted the political arena, winning the elections of 2023. Many of these new right-wing figures grew in popularity due to their use of social media, on a background of increasing political violence. In this article, we use quantitative and qualitative tools to investigate the prevalence of hate speech targeting women politicians and analyze the role of different political affiliations in promoting such discourse. Furthermore, we propose a model that predicts users' political alignments based on their profile descriptions, allowing us to explore the distribution of hate speech among different political orientations. Our results provide a descriptive account of the relationship between hate speech by politicians and other users and shows that right-wing political figures and supporters are strong emissors of hate speech, while women, especially those from the left-wing are more prone to receive violent content.

Indexed as

HatePoliticsSexismArgentinaFemaleHumansMaleSocial Media

Identifiers

PMID39854497
PMCPMC11760012

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.