書誌事項
- タイトル別名
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- The Effect of Increasing Number of Topics to Polarization and Echo Chambers on SNS
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説明
<p>Communication through SNS (Social Networking Services) and function of SNS platform can cause two phenomena polarization and echo chambers. In previous study [sasahara 21] about the communication on SNSs regarding a single topic, it has been shown that there is a correlation between these two phenomena and also that SNS functions facilitate the occurrence of these phenomena. In this study, focusing on the fact that real SNS users often deal with multiple topics on a daily basis, we analyzed an agent-based model of SNS communication regarding multiple topics. The analysis revealed that polarization of opinions occurs even when the number of topics increases but that echo chambers are less likely to occur as the number of topics increases. We have also found that there is little correlation between polarization and echo chamber under the condition with more than certain number of topics. Additionally, some functions of SNS such as user recommendations and reposts was found to facilitate echo chambers regardless of the number of topics. This result implies that the findings of previous research are robust even in multiple topics environment. These results suggest that topic diversity and function of SNS platform amendment may be a means of reducing the occurrence of echo chambers. In this model, we cannot take into account the impact of an individual’s interest in a specific topic on such as unfollowing behavior. In future research, we should expand our model to implement these user’s real behavior.</p>
収録刊行物
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- 人工知能学会論文誌
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人工知能学会論文誌 38 (4), B-N11_1-9, 2023-07-01
一般社団法人 人工知能学会
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詳細情報 詳細情報について
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- CRID
- 1390859616450856448
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- ISSN
- 13468030
- 13460714
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- 本文言語コード
- ja
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- 資料種別
- journal article
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- データソース種別
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- JaLC
- Crossref
- KAKEN
- OpenAIRE
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- 抄録ライセンスフラグ
- 使用不可