Abstract Purpose Performers may generate loyalty partly through eliciting illusory personal connections with their audience, parasocial relationships (PSRs), and individual illusory exchanges, parasocial interactions (PSIs). On social media, semi-PSIs are real but imbalanced exchanges with audiences, including through comments on influencers’ videos, and strong semi-PSIs are those that occur within PSRs. This article introduces and assesses an automatic method to detect videos with strong PSI potential. Design/methodology/approach Strong semi-PSIs were hypothesized to occur when commenters used a variant of the pronoun “you”, typically addressing the influencer. Comments on the videos of UK female influencer channels were used to test whether the proportion of you pronoun comments could be an automated indicator of strong PSI potential, and to find factors associating with the strong PSI potential of influencer videos. The highest and lowest strong PSI potential videos for 117 influencers were classified with content analysis for strong PSI potential and evidence of factors that might elicit PSIs. Findings The you pronoun proportion was effective at indicating video strong PSI potential, the first automated method to detect any type of PSI. Gazing at the camera, head and shoulders framing, discussing personal issues, and focusing on the influencer associated with higher strong PSI potential for influencer videos. New social media factors found include requesting feedback and discussing the channel itself. Research limitations Only one country, genre and social media platform was analysed. Practical implications The method can be used to automatically detect YouTube videos with strong PSI potential, helping influencers to monitor their performance. Originality/value This is the first automatic method to detect any aspect of PSI or PSR.

中文翻译：

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我对与您分享这个秘密感到紧张：Youtube 影响者通过讨论个人问题产生强大的准社会互动

摘要目的表演者可能通过与观众、准社会关系 (PSR) 和个人的虚幻交流、准社会互动 (PSI) 产生虚幻的个人联系来产生忠诚度。在社交媒体上，半 PSI 是与观众的真实但不平衡的交流，包括通过对影响者视频的评论，而强大的半 PSI 是发生在 PSR 中的那些。本文介绍并评估了一种自动检测具有强 PSI 潜力的视频的方法。设计/方法/方法 当评论者使用代词“你”的变体（通常针对影响者）时，假设会发生强烈的半 PSI。对英国女性影响者频道视频的评论被用来测试你的代词评论比例是否可以成为强大 PSI 潜力的自动指标，并找出与影响者视频的强大 PSI 潜力相关的因素。117 位影响者的最高和最低强 PSI 潜力视频通过内容分析进行分类，以获得强大的 PSI 潜力和可能引发 PSI 的因素的证据。结果 你的代词比例有效地表明了视频强大的 PSI 潜力，这是检测任何类型 PSI 的第一个自动化方法。凝视镜头，头部和肩膀框架，讨论个人问题，并关注与影响者视频具有较高 PSI 潜力相关的影响者。发现的新社交媒体因素包括请求反馈和讨论频道本身。研究局限 仅分析了一个国家、类型和社交媒体平台。实际意义 该方法可用于自动检测具有强大 PSI 潜力的 YouTube 视频，帮助影响者监控其表现。原创性/价值 这是检测 PSI 或 PSR 任何方面的第一个自动方法。实际意义 该方法可用于自动检测具有强大 PSI 潜力的 YouTube 视频，帮助影响者监控其表现。原创性/价值 这是检测 PSI 或 PSR 任何方面的第一个自动方法。实际意义 该方法可用于自动检测具有强大 PSI 潜力的 YouTube 视频，帮助影响者监控其表现。原创性/价值 这是检测 PSI 或 PSR 任何方面的第一个自动方法。