Facebook Posts and Comments Datasets

We provide 2 datasets:<br/><br/>**1. Facebook - Posts:**

The Facebook Posts dataset provides comprehensive information about posts on the platform, including URLs, post identifiers, user profile URLs, raw usernames, post content, posting dates, associated hashtags, engagement metrics (comments, shares, likes), and post types.

**Use Cases:**<br/>-Facebook - Posts with Hashtags: This subset focuses on posts containing hashtags, enabling analysis of their impact on content visibility and user engagement. It helps explore hashtag usage patterns, popular topics, and trends across different demographics, aiding in effective hashtag strategies and content optimization.<br/>-Facebook - Posts with More Than 20 Comments: This subset is valuable for analyzing user engagement and content virality. By focusing on posts with significant interaction (more than 20 comments), researchers can uncover popular topics, effective content strategies, and community dynamics, informing marketing strategies and content creation.

**Benefits:**<br/>-Informed Content Strategy: Understand user engagement and content trends to optimize content strategies.<br/>-Targeted Marketing: Identify popular topics and effective content strategies for highly engaging posts.<br/>-Insightful Analytics: Gain insights into community dynamics, enabling data-driven decision-making for Facebook marketing efforts.

<br/>**2. Facebook - Comments:**

The Facebook Comments dataset offers a comprehensive view of user engagement on posts, capturing key data points such as post and comment URLs, unique identifiers, user details, comment content, engagement metrics (likes, replies), and metadata.

**Use Cases:**<br/>Facebook - Comments with More Than 10 Likes: This subset focuses on comments with higher engagement levels (more than 10 likes), facilitating analysis of influential interactions within the Facebook community. It enables deeper exploration of popular comments, user engagement trends, and factors contributing to increased interactions.

**Benefits:**<br/>Deeper Engagement Analysis: Understand influential interactions and user engagement trends within the Facebook community.<br/>-Optimized Engagement Strategies: Tailor strategies based on insights from highly engaging comments to foster impactful interactions with the audience.<br/>-Enhanced Audience Interaction: Leverage insights to optimize engagement and drive meaningful conversations with the audience on Facebook.

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**3. Facebook - Reels:**

The "Facebook Reels Dataset" offers detailed information on reels, including URLs, user profiles, descriptions, hashtags, number of comments, post dates, likes, and latest comments. This dataset helps analyze user engagement, content trends, and interactions on Facebook Reels.

**Use Cases:**

Reels with More Than 100 Comments: Focuses on highly engaging reels with 100+ comments. Ideal for understanding viral content, community dynamics, and refining content strategies.

Reels with More Than 500K Views: Includes reels with over 500,000 views, offering insights into popular content, audience preferences, and high-visibility trends.

**Benefits:**

Informed Content Strategy: Understand audience behavior and optimize engagement.

Targeted Marketing: Leverage hashtag and comment analysis to improve marketing efforts.

Note: This is a sample - for the datasets please contact us.

我们提供3组数据集：

**1. Facebook 帖子数据集（Facebook - Posts）：**
本Facebook帖子数据集涵盖该平台帖子的全维度信息，包括链接、帖子唯一标识、用户主页链接、原始用户名、帖子内容、发布日期、关联话题标签（Hashtag）、互动指标（评论、转发、点赞）以及帖子类型。

**使用场景：**
- 带话题标签的Facebook帖子子集：该子集聚焦于包含话题标签的帖子，可用于分析其对内容曝光度与用户互动的影响，有助于探索不同受众群体中的话题标签使用模式、热门话题与趋势，助力制定高效的话题标签策略并优化内容。
- 评论数超20的Facebook帖子子集：该子集可用于分析用户互动与内容传播性。通过聚焦高互动量（评论数≥21）的帖子，研究人员可挖掘热门话题、有效的内容策略与社区动态，为营销策略制定与内容创作提供参考。

**数据集价值：**
- 优化内容策略：明晰用户互动与内容趋势，以此优化内容布局。
- 精准营销：识别高互动帖子中的热门话题与有效内容策略。
- 深度洞察分析：获取社区动态相关洞察，为Facebook营销活动提供数据驱动的决策依据。

**2. Facebook 评论数据集（Facebook - Comments）：**
本Facebook评论数据集全面呈现用户在帖子下的互动情况，收录的核心数据点包括帖子与评论链接、唯一标识、用户详情、评论内容、互动指标（点赞、回复）以及元数据。

**使用场景：**
点赞数超10的Facebook评论子集：该子集聚焦高互动量评论（点赞数≥11），便于分析Facebook社区内的影响力互动，可深入探究热门评论、用户互动趋势以及推动互动增长的因素。

**数据集价值：**
- 深度互动分析：明晰Facebook社区内的影响力互动与用户互动趋势。
- 优化互动策略：基于高互动评论的洞察调整策略，以推动与受众的高质量互动。
- 强化受众互动：利用相关洞察优化互动方式，推动在Facebook平台上与受众开展有意义的对话。

**3. Facebook 短视频数据集（Facebook Reels）：**
本“Facebook短视频（Reels）数据集”涵盖短视频的详细信息，包括链接、用户主页、简介、话题标签、评论数、发布日期、点赞数以及最新评论。该数据集可用于分析Facebook短视频平台上的用户互动、内容趋势与互动行为。

**使用场景：**
评论数超100的短视频子集：聚焦互动量极高（评论数≥101）的短视频，适用于分析病毒式传播内容、社区动态并优化内容策略。
播放量超50万的短视频子集：收录播放量突破50万的短视频，可用于挖掘热门内容、受众偏好与高曝光趋势。

**数据集价值：**
- 优化内容策略：明晰受众行为，优化互动效果。
- 精准营销：借助话题标签与评论分析提升营销效果。

注意：本数据集仅为示例，如需获取完整数据集请联系我方。