What Audiences Are Saying: Movie Trailer Buzz

**Comment activity is the #1 online signal for movie box office.**<br/><br/>This dataset captures public social media conversations about **current movie trailers** across video platforms, short-form video communities, and discussion forums. Content is refreshed daily and reflects a rolling 30-day window of organic audience reactions, commentary threads, and creator-driven engagement to reflect trailers actively in market.

**What's included:**

- **Content & Engagement:** Posts, comments, videos, replies, hashtags, and platform-specific engagement metrics including views, likes, shares, and comments
- **Author & Creator Profiles:** Follower counts, subscriber data, karma scores, and activity patterns where available
- **Conversation Context:** Full text content, timestamps, thread relationships, and comment-to-root-post linkage for discussion-volume analysis
- **Movie-Level Matching:** A tag-based system maps organic content to studio-released titles, enabling cross-platform aggregation by film
- **AI-Ready Data:** This listing includes Semantic Views and a ready for use pre-configured Agent

Each record includes structured metadata — post content, engagement metrics, author-level signals, content tags, and pre-chunked text optimized for LLM and embedding workflows. Comment threads are linked to their root posts, enabling discussion-volume analysis at the title level. Movie-level aggregation is supported via a tag-based matching system that maps organic content to studio-released titles.

This dataset is **designed for entertainment marketers** at film studios, streaming platforms, and brand and marketing agencies seeking to understand how audiences are responding to trailers in real time. It supports trailer performance benchmarking, cross-platform buzz comparison, influencer identification, and AI-powered theme and sentiment analysis.

原始信息汇总

数据集详情概述

数据集名称：What Audiences Are Saying: Movie Trailer Buzz
提供方：Socialgist
数据用途：为娱乐营销人员提供关于当前电影预告片的公众社交媒体讨论数据，支持实时受众反应分析、跨平台热度对比、意见领袖识别及AI主题和情感分析。
目标用户：电影制片厂、流媒体平台、品牌及营销机构的娱乐营销人员。

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数据内容与结构

• 内容与互动指标：包含帖子、评论、视频、回复、话题标签，以及各平台特有的互动指标（如浏览量、点赞、分享、评论数）。
• 作者与创作者画像：关注者数量、订阅数据、声望分数（Karma Score）及活动模式（在可用情况下）。
• 对话上下文：完整文本内容、时间戳、线程关系及评论与根帖的链接，用于讨论量分析。
• 电影级匹配：通过基于标签的系统，将有机内容映射到工作室发行的电影标题，支持跨平台的按片名聚合。
• AI就绪数据：数据集包含语义视图（Semantic Views）和一个预配置的Agent，每条记录包含结构化元数据（帖子内容、互动指标、作者级信号、内容标签、预分块文本），专为LLM和嵌入工作流优化。

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数据覆盖与更新

• 刷新频率：每日更新。
• 时间覆盖范围：滚动30天窗口，反映当前正在市场上的预告片。
• 交付方式：安全共享（Secure share）。

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业务需求与使用场景

业务需求：

• 内容洞察：实时了解受众在社交平台上对特定电影、预告片和发布作品的反应。
• 竞争情报：追踪竞品工作室和流媒体平台在新作发布时，在有机社交媒体对话中的表现。

使用示例（SQL查询示例）：

• 按平台和内容类型汇总内容项数量，例如： sql SELECT PLATFORM, ENTITY_TYPE, COUNT(*) AS CONTENT_ITEM_COUNT FROM MOVIE_TRAILERS.CONTENT_ITEMS GROUP BY PLATFORM, ENTITY_TYPE ORDER BY PLATFORM, CONTENT_ITEM_COUNT DESC;

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试用与获取

• 试用期：7天限时试用。
• 类别：Cortex AI Ready、营销、媒体。

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附加信息

• 法律条款：标准条款。
• 供应商联系：销售邮箱 [e-mail]；支持访问 https://www.socialgist.ai/contact。