#探索性分析对ABA的情绪 在Twitter上
Albert Malkin1, Priscilla Burnham Riosa2, Laura Mullins2
1Faculty of Education, Western University, 1137 Western Road, London, Ontario N6G 1G7 Canada.
Behavior analysis in practice
|January 10, 2025
概括
在应用行为分析 (ABA) 上的在线社会意见揭示了一个小但有声音的少数人塑造了叙事. 关于ABA的负面情绪推文产生了更高的参与度,突出了行为分析师研究在线话语的必要性.
科学领域:
- 社会科学 社会科学 社会科学
- 行为科学 行为科学
- 沟通研究 沟通研究
背景情况:
- 对社交媒体的自然主义观察提供了关于公众接受社会话题的数据.
- 在线社会意见可以作为各种领域的社会有效性的衡量标准.
- 了解在线话语对于应用行为分析 (ABA) 等领域至关重要.
研究的目的:
- 客观地分析有关应用行为分析 (ABA) 的在线话语.
- 在社交媒体平台上评估公众的情绪和对ABA的参与.
- 在关于ABA的在线讨论中识别主题和叙述.
主要方法:
- 从2012年到2022年,分析了119,911条与ABA相关的推特帖子.
- 一组11000条推特的随机子集被选择用于分层分析.
- 两个训练有素的观察员编码了推特的相关性和情绪 (中立,积极,消极).
主要成果:
- 分析了5408条相关推文,平均每年492条.
- 情绪分布:51.41%是中立的,43.81%是积极的,4.79%是负面的.
- 负面情绪的推特比中性或积极的推特有更高的参与度 (3倍).
- 积极的推特集中在治疗和自闭症上;负面的推特讨论了伤害和替代方案.
结论:
- 一个小的,有声音的少数人可以显著地影响围绕ABA的在线叙事.
- 行为分析师应该积极研究和参与在线话语.
- 需要制定战略来应对负面情绪,并塑造公众对ABA的平衡看法.
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