在社交媒体平台上管理虚假信息
Eric K Clemons1, Maximilian Schreieck2, Ravi V Waran3
1The Wharton School, University of Pennsylvania, 3730 Walnut Street, 572 Jon M. Huntsman Hall, Philadelphia, PA 19104 USA.
概括
在线虚假信息活动利用个人数据操纵读者,构成存在的威胁. 模拟建模探索了限制虚假信息传播的机制,同时平衡言论自由和平台利能力.
科学领域:
- 社会科学 社会科学 社会科学
- 计算机科学 计算机科学
- 政治科学 政治科学是指政治学.
背景情况:
- 现代的虚假信息活动利用个人数据进行有针对性的操纵.
- 这些运动使社会两极分化,破坏了人类的尊严,带来了重大风险.
- 由于言论自由和平台利能力的考虑,对抗虚假信息是复杂的.
研究的目的:
- 探索旨在限制在线虚假信息传播的各种机制的有效性.
- 为监管机构提供关于减轻虚假信息运动影响的指导.
主要方法:
- 利用模拟建模来分析虚假信息传播的动态.
- 评估了不同干预策略在模拟环境中的影响.
主要成果:
- 模拟结果表明,在制虚假信息方面,特定机制的潜在有效性.
- 分析突出了实施中的挑战,包括平台阻力和言论自由的担忧.
结论:
- 有针对性的虚假信息对社会凝聚力和个人自主性构成严重威胁.
- 进一步的研究和监管指导对于制定有效的对抗在线虚假信息的措施至关重要.
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