宠物食品类小红书直播带货违法监测预警数据

对采集的小红书平台带货品类为宠物食品类的达人直播视频内容进行转译分析，对达人口播语言内容进行处理、分析，根据达人在直播过程中对预先设置的违规敏感词（比如：绝对安全、预防、腹泻、皮肤病、寄生虫、增强免疫力、无添加、纯天然、治疗、无效退款、没有副作用、肯定有用等）违反的次数和频率，依据触发条件规则提出警告或处理。为服务辖区市场监督局管理区域内规范企业小红书直播行为，提供数据支持。将采集完成的直播视频进行进行预处理，第一步：基于原始视频文件，以最大10分钟单位对原始视频进行切片。第二步：对于已完成的切片视频，进行视频内容转语音操作。第三步：对于已完成视频转语音操作的切片，进行语音转文本操作。第四步：使用OCR技术对原始视频中抓取的图片进行文字提取操作。第五步：将所得到的文字内容与违法预警关键词库进行匹配。最终运用多标准决策分析模型，对主播在直播过程中出现的违规语句进行分析计算，得出违法预警值和是否预警判断。
违法预警值=（违法预警单关键词命中次数*0.25）+（违法预警组合关键词命中次数* 0.3）+（图片识别命中预警组合关键词个数*0.35）+（直播间近一个月历史违规记录数*0.1）
通过公式计算出最终违法预警值，违法预警值 ≤1 时，不触发预警提示，违法预警值 ＞1 时触发违法预警提示。

This dataset conducts transcription and analysis on live stream video content of Xiaohongshu influencers promoting pet food products. The spoken content of the influencers is processed and analyzed, and warnings or corresponding treatments are issued according to the triggering rules based on the times and frequency of violations of pre-set sensitive prohibited keywords (such as absolutely safe, prevention, diarrhea, skin diseases, parasites, enhance immunity, no additives, 100% natural, treatment, money-back guarantee, no side effects, definitely effective, etc.) during the live broadcast. This work provides data support for market supervision bureaus in their respective jurisdictions to regulate the live streaming behaviors of enterprises on Xiaohongshu.

The collected live stream videos undergo the following preprocessing steps:
1. Slice the original video files into segments with a maximum duration of 10 minutes each;
2. Extract audio from the sliced video clips;
3. Perform speech-to-text conversion on the audio extracted from the clips;
4. Extract text from images captured in the original videos using OCR technology;
5. Match the obtained text content against the prohibited early warning keyword database.

Finally, a multi-criteria decision analysis (MCDA) model is applied to analyze and calculate the prohibited utterances made by the streamer during the live broadcast, so as to obtain the Violation Early Warning Score and make an early warning judgment.

The Violation Early Warning Score is calculated via the following formula:
Violation Early Warning Score = (Number of single prohibited keyword hits × 0.25) + (Number of combined prohibited keyword hits × 0.3) + (Number of early warning combined keywords detected via image recognition × 0.35) + (Number of historical violation records of the live stream room in the past month × 0.1)

After calculating the final Violation Early Warning Score, no early warning prompt will be triggered when the score ≤ 1, and a violation early warning prompt will be triggered when the score > 1.

搜集汇总

数据集介绍

特点

该数据集为宠物食品类小红书直播带货违法监测预警数据，包含1279条记录，每季度更新。通过分析直播视频内容，识别违规关键词并计算违法预警值，用于支持市场监督局规范企业直播行为。