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Analysis of the Effect between the Information Type on SNSs and User Attributes during Disaster

Published: 13 May 2024 Publication History

Abstract

In the event of a disaster, many people post a lot of information on SNS that promotes or inhibits action we designate this information "behavioral facilitation information". Such information is likely to have various effects on user behavior. A wide variety of people browse SNSs, and different readers perceive the same information in different ways. Therefore, in this study, we focus on users' attributes which are personality traits, age, and gender, and analyze how different users perceive information that promotes behavior. Specifically, we extract behavioral facilitation information from SNSs at the time of a disaster using deep learning, and classify the information into four user's personality traits: "suggestion," "inhibition," "encouragement," and "wish." Then, we conduct an experiment in which subjects classified by user's attributes which are personality traits, age, and gender read and judge how they feel about behavioral facilitation information. We then analyze the results, to determine the relationship between the behavioral facilitation information and the reader's attributes.

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    cover image ACM Conferences
    WWW '24: Companion Proceedings of the ACM Web Conference 2024
    May 2024
    1928 pages
    ISBN:9798400701726
    DOI:10.1145/3589335
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    Published: 13 May 2024

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    Author Tags

    1. behavioral facilitation information
    2. big five
    3. disaster
    4. personality traits
    5. snss

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    WWW '24
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    WWW '24: The ACM Web Conference 2024
    May 13 - 17, 2024
    Singapore, Singapore

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