Exploring the Impact of the Presentation of Negative Information in the News on Public Sentiment

Xinye Xie

2024

Abstract

The rapid development of social media plays an important role in shaping public sentiment. At the same time, there is a phenomenon of "negative bias" in psychology, which indicates that even when the stimulus intensity is the same, negative things have a greater impact on a person's psychological state and psychological process compared with neutral or positive things, which also indicates that negative information is more likely to influence public mood from another perspective. The theme of this study is to investigate the influence of the presentation form of negative information on public sentiment. The data for the study were obtained from microblogs and some public social platforms. In the process of the study, the data were screened with the help of analytical tools, and the intensity of emotions in public comments was analyzed through text analysis methods, to compare and analyze the impact of different forms of presentation of negative information on public emotions. The results of this study show that compared with the information presented in plain text, the reaction of netizens is more intense and the public's emotional intensity is higher when the information is presented in the form of video text. Therefore, the study concluded that presenting information in the form of video text has a greater impact on public sentiment than presenting information in the form of plain text. Therefore, it is recommended to use a text-only format when publishing social news to reduce negative public emotions to a certain extent.

Paper Citation

in Harvard Style

Xie X. (2024). Exploring the Impact of the Presentation of Negative Information in the News on Public Sentiment. In Proceedings of the 1st International Conference on Data Science and Engineering - Volume 1: ICDSE; ISBN 978-989-758-690-3, SciTePress, pages 377-381. DOI: 10.5220/0012866700004547

in Bibtex Style

@conference{icdse24,
author={Xinye Xie},
title={Exploring the Impact of the Presentation of Negative Information in the News on Public Sentiment},
booktitle={Proceedings of the 1st International Conference on Data Science and Engineering - Volume 1: ICDSE},
year={2024},
pages={377-381},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012866700004547},
isbn={978-989-758-690-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Data Science and Engineering - Volume 1: ICDSE
TI - Exploring the Impact of the Presentation of Negative Information in the News on Public Sentiment
SN - 978-989-758-690-3
AU - Xie X.
PY - 2024
SP - 377
EP - 381
DO - 10.5220/0012866700004547
PB - SciTePress