解决移动社交网络中的错误信息 - 一个BERT-LSTM方法来提高数字素养
Jun Wang1,2, Xiulai Wang1, Airong Yu3
1School of Management Science and Engieering, Nanjing University of Information Science and Technology, Nanjing, China.
Scientific reports
|January 8, 2025
概括
本研究介绍了一种新的AI模型,它结合了来自变压器的双向编码器表示 (BERT) 和长短期记忆 (LSTM) 网络,以有效检测错误信息. 伯特-LSTM模型准确地识别虚假内容,提高数字素养和批判性思维能力.
科学领域:
- 人工智能的人工智能
- 自然语言处理自然语言处理.
- 计算社会科学 计算社会科学
背景情况:
- 错误信息通过移动社交网络迅速传播,对社会稳定,公共卫生和民主进程构成重大威胁.
- 早期检测错误信息至关重要,但很难,特别是当用户反和参与数据有限时.
- 现有的检测方法经常在早期传播阶段与文本内容的细微差别作斗争.
研究的目的:
- 开发和评估一种新的混合人工智能模型,用于仅使用文本数据检测错误信息.
- 为了评估模型在准确性,回忆和F1分数方面的表现.
- 调查模型的实用性,作为一个教育工具,用于提高用户的错误信息检测能力.
主要方法:
- 开发了一种混合模型,将变压器 (BERT) 的双向编码器表示与长短期内存 (LSTM) 网络集成在一起.
- 培训和评估BERT-LSTM模型的文本内容,以识别错误信息.
- 对100名参与者进行了一项受控的用户研究,以评估该模型的教育影响.
主要成果:
- 伯特-LSTM模型实现了高性能指标:93.51%的准确率,91.96%的回忆率和92.73%的F1在错误信息检测中的得分.
- 在一项用户研究中,使用该模型作为教育工具的参与者显示,与对照组 (74.2%) 相比,错误信息检测准确度 (89.4%) 显著提高.
- 实验组还报告说,信心增加,决策时间缩短.
结论:
- 伯特-LSTM混合模型提供了一种强大而有效的解决方案,用于检测仅基于文本内容的错误信息.
- 该模型显示出作为一种提高数字素养和批判性思维技能的教育工具的巨大潜力.
- 先进的AI技术,如拟议的BERT-LSTM模型,对于应对网络错误信息的普遍挑战至关重要.
相关概念视频
02:16Stereotype Content Model
14.0K
The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...
14.0K
01:16Non-equilibrium in the Cell
4.1K
An important concept in studying metabolism and energy is that of chemical equilibrium. Most chemical reactions are reversible. They can proceed in both directions, releasing energy into their environment in one direction, and absorbing it from the environment in the other direction. The same is true for the chemical reactions involved in cell metabolism, such as the breaking down and building up of proteins into and from individual amino acids, respectively. Reactants within a closed system...
4.1K
02:04Bullying
8.4K
A modern form of aggression is bullying. As you learn in your study of child development, socializing and playing with other children is beneficial for children’s psychological development. However, as you may have experienced as a child, not all play behavior has positive outcomes. Some children are aggressive and want to play roughly. Other children are selfish and do not want to share toys. One form of negative social interactions among children that has become a national concern is...
8.4K
02:07Improving Translational Accuracy
2.5K
2.5K