Emotional Sequential Influence Modeling on False Information
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arXiv
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866909432729829376 |
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| author | Naskar, Debashis Das, Subhashis Gonzalez, Sara Rodriguez |
| author_facet | Naskar, Debashis Das, Subhashis Gonzalez, Sara Rodriguez |
| contents | The extensive dissemination of false information in social networks affects netizens social lives, morals, and behaviours. When a neighbour expresses strong emotions (e.g., fear, anger, excitement) based on a false statement, these emotions can be transmitted to others, especially through interactions on social media. Therefore, exploring the mechanism that explains how an individuals emotions change under the influence of a neighbours false statement is a practically important task. In this work, we systematically examining the publics personal, interpersonal, and historical emotional influence based on social context, content, and emotional based features. The contribution of this paper is to build an emotionally infused model called the Emotional based User Sequential Influence Model(EUSIM) to understand users temporal emotional propagation patterns and predict future emotions against false information. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2412_13668 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Emotional Sequential Influence Modeling on False Information Naskar, Debashis Das, Subhashis Gonzalez, Sara Rodriguez Social and Information Networks 68T50 I.7; I.2.7 The extensive dissemination of false information in social networks affects netizens social lives, morals, and behaviours. When a neighbour expresses strong emotions (e.g., fear, anger, excitement) based on a false statement, these emotions can be transmitted to others, especially through interactions on social media. Therefore, exploring the mechanism that explains how an individuals emotions change under the influence of a neighbours false statement is a practically important task. In this work, we systematically examining the publics personal, interpersonal, and historical emotional influence based on social context, content, and emotional based features. The contribution of this paper is to build an emotionally infused model called the Emotional based User Sequential Influence Model(EUSIM) to understand users temporal emotional propagation patterns and predict future emotions against false information. |
| title | Emotional Sequential Influence Modeling on False Information |
| topic | Social and Information Networks 68T50 I.7; I.2.7 |
| url | https://arxiv.org/abs/2412.13668 |