Fake News are Easier, More Emotional and Less Complex: Some Evidence from Spanish

Characterizing false information based on linguistic analysis is important to understand the factors that affect the proliferation of fake news in the media. Previous work has identified some linguistic regularities that suggest a trend towards decreased complexity, polarization and sentiment in fal...

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Published in:Psychology of Language and Communication
Main Author: Reali Florencia
Format: Article
Language:English
Published: Sciendo 2025-01-01
Subjects:
Online Access:https://doi.org/10.58734/plc-2025-0012
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author Reali Florencia
author_facet Reali Florencia
author_sort Reali Florencia
collection DOAJ
container_title Psychology of Language and Communication
description Characterizing false information based on linguistic analysis is important to understand the factors that affect the proliferation of fake news in the media. Previous work has identified some linguistic regularities that suggest a trend towards decreased complexity, polarization and sentiment in false information. This study is aimed at identifying linguistic differences between real and fake news using a corpus of annotated media news in Spanish via the automatic analysis of linguistic cues using dictionaries of lexical norms. We focus on lexical aspects of complexity, familiarity and sentiment. Consistent with previous results, we found that fake news are associated with lower cognitive loads, reflected by reduced sentence complexity, and increased lexical familiarity and imaginability. Moreover, and consistently with previous results, the analysis revealed that fake news are associated with more polarized emotional content.
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spelling doaj-0ef213ff4e9d4ddc8d86e900712d34242025-11-03T05:52:43ZengSciendoPsychology of Language and Communication2083-85062025-01-0129126628310.58734/plc-2025-0012Fake News are Easier, More Emotional and Less Complex: Some Evidence from SpanishReali Florencia0Neurociencia y Aprendizaje, Universidad Católica del Uruguay, UruguayCharacterizing false information based on linguistic analysis is important to understand the factors that affect the proliferation of fake news in the media. Previous work has identified some linguistic regularities that suggest a trend towards decreased complexity, polarization and sentiment in false information. This study is aimed at identifying linguistic differences between real and fake news using a corpus of annotated media news in Spanish via the automatic analysis of linguistic cues using dictionaries of lexical norms. We focus on lexical aspects of complexity, familiarity and sentiment. Consistent with previous results, we found that fake news are associated with lower cognitive loads, reflected by reduced sentence complexity, and increased lexical familiarity and imaginability. Moreover, and consistently with previous results, the analysis revealed that fake news are associated with more polarized emotional content.https://doi.org/10.58734/plc-2025-0012fake newsnews replicationlinguistic cuescomplexityemotional content
spellingShingle Reali Florencia
Fake News are Easier, More Emotional and Less Complex: Some Evidence from Spanish
fake news
news replication
linguistic cues
complexity
emotional content
title Fake News are Easier, More Emotional and Less Complex: Some Evidence from Spanish
title_full Fake News are Easier, More Emotional and Less Complex: Some Evidence from Spanish
title_fullStr Fake News are Easier, More Emotional and Less Complex: Some Evidence from Spanish
title_full_unstemmed Fake News are Easier, More Emotional and Less Complex: Some Evidence from Spanish
title_short Fake News are Easier, More Emotional and Less Complex: Some Evidence from Spanish
title_sort fake news are easier more emotional and less complex some evidence from spanish
topic fake news
news replication
linguistic cues
complexity
emotional content
url https://doi.org/10.58734/plc-2025-0012
work_keys_str_mv AT realiflorencia fakenewsareeasiermoreemotionalandlesscomplexsomeevidencefromspanish