arXiv:2505.03769cs.SIcs.AI2025-05

改写视频标题能显著提升跨平台内容互动,关键在情感与社区契合度。

The Influence of Text Variation on User Engagement in Cross-Platform Content Sharing

  • 通过控制变量实验,验证标题改写对互动的提升作用。
  • 有效标题具备情绪共鸣、词汇丰富和社区适配特征。
  • 基于BERT的模型准确率达74%,优于随机基准与GPT-4o。

在当前跨平台社交媒体环境中,理解多模态内容(尤其是图文搭配)的互动驱动因素仍具挑战性。本研究探讨将YouTube视频标题改编为Reddit帖子标题时,文本变化对用户互动的影响。首先,构建并分析一个大规模的Reddit分享YouTube视频的数据集,发现21%的帖子标题仅做微小修改。统计分析表明,标题重写可显著提升互动率。其次,设计一项受控的多阶段实验,通过中和视频热度、发布时间和社区规范等混杂因素,精确分离文本变化的影响。综合统计检验显示,有效的标题重写通常具备情感共鸣、词汇丰富性和社区规范一致性。最后,使用微调后的BERT分类器进行成对排名预测,准确率达到74%,显著高于近随机基线,包括GPT-4o。结果验证了所建数据集能有效降低混杂效应,使先进模型既能学习也能揭示文本特征对互动的影响。本研究结合定量严谨性与定性洞察,揭示了互动动态,并为未来跨平台多模态内容策略提供可靠框架。

原文摘要 · Abstract (English)

In today's cross-platform social media landscape, understanding factors that drive engagement for multimodal content, especially text paired with visuals, remains complex. This study investigates how rewriting Reddit post titles adapted from YouTube video titles affects user engagement. First, we build and analyze a large dataset of Reddit posts sharing YouTube videos, revealing that 21% of post titles are minimally modified. Statistical analysis demonstrates that title rewrites measurably improve engagement. Second, we design a controlled, multi-phase experiment to rigorously isolate the effects of textual variations by neutralizing confounding factors like video popularity, timing, and community norms. Comprehensive statistical tests reveal that effective title rewrites tend to feature emotional resonance, lexical richness, and alignment with community-specific norms. Lastly, pairwise ranking prediction experiments using a fine-tuned BERT classifier achieves 74% accuracy, significantly outperforming near-random baselines, including GPT-4o. These results validate that our controlled dataset effectively minimizes confounding effects, allowing advanced models to both learn and demonstrate the impact of textual features on engagement. By bridging quantitative rigor with qualitative insights, this study uncovers engagement dynamics and offers a robust framework for future cross-platform, multimodal content strategies.

内容优化用户互动文本重写多模态

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