Disinformation in Open Online Media: Second Multidisciplinary International Symposium, Misdoom 2020, Leiden, the Netherlands, October 26-27, 2020, Pro
暫譯: 開放線上媒體中的錯誤資訊：第二屆多學科國際研討會 Misdoom 2020，荷蘭萊頓，2020年10月26-27日，專業版
Van Duijn, Max, Preuss, Mike, Spaiser, Viktoria
- 出版商: Springer
- 出版日期: 2020-10-21
- 售價: $3,370
- 貴賓價: 9.5 折 $3,202
- 語言: 英文
- 頁數: 277
- 裝訂: Quality Paper - also called trade paper
- ISBN: 3030618404
- ISBN-13: 9783030618407
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商品描述
This book constitutes the refereed proceedings of the Second Multidisciplinary International Symposium, MISDOOM 2020, held in Leiden, The Netherlands, in October 2020.*
The 18 full papers were carefully reviewed and selected from 23 submissions. The papers deal with the interdisciplinary field of computational social science, and in particular with the automated detection and combat of misinformation using modern techniques from machine learning, text mining, and social network analysis.
* The conference was held virtually due to the COVID-19 pandemic.
Chapters "Identifying Political Sentiments on YouTube: A Systematic Comparison regarding the Accuracy of Recurrent Neural Network and Machine Learning Models" and "Do Online Trolling Strategies Differ in Political and Interest Forums: Early Results" are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
商品描述(中文翻譯)
本書為第二屆多學科國際研討會 MISDOOM 2020 的經過審稿的會議論文集，該會議於 2020 年 10 月在荷蘭萊頓舉行。
18 篇完整論文是從 23 篇投稿中仔細審核和選出的。這些論文涉及計算社會科學的跨學科領域，特別是利用現代技術（如機器學習、文本挖掘和社交網絡分析）自動檢測和對抗錯誤資訊。
* 由於 COVID-19 疫情，會議以虛擬方式舉行。
章節「在 YouTube 上識別政治情感：關於循環神經網絡和機器學習模型準確性的系統比較」及「在線惡搞策略在政治和興趣論壇中是否有所不同：初步結果」可在 link.springer.com 上以創用 CC 署名 4.0 國際授權條款開放存取。
