医疗器械类抖音直播带货违法监测预警数据

对采集的抖音平台带货品类为医疗器械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：无效退款，保险公司保险，安全，安全无毒副作用，毒副作用小，天然，热销，抢购，试用，家庭必备，免费治疗等）违反的次数和频率，依据触发条件规则提出警告或处理。为诸暨市市场监督局管理区域内规范企业抖音直播行为，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 is designed for the transcription and analysis of live streaming video content of influencers selling medical device products on the Douyin platform. The oral narration content of these influencers is processed and analyzed, and targeted warnings or corresponding treatments will be proposed based on trigger rules and the frequency and count of violations of pre-set sensitive violation keywords, including invalid refund, insurance covered by insurance companies, safety, safe with no toxic and side effects, low toxic and side effects, natural, hot-selling, rush purchase, trial use, household necessity, free treatment, etc. This work provides data support for standardizing the live streaming behaviors of enterprises within the jurisdiction of the Market Supervision Administration of Zhuji City.

The collected live streaming videos are preprocessed through the following steps:
Step 1: Slice the original video files into segments with a maximum duration of 10 minutes.
Step 2: Convert the sliced video content into audio via video-to-audio conversion.
Step 3: Convert the audio from the sliced clips into text via speech-to-text conversion.
Step 4: Extract text from images captured in the original videos using Optical Character Recognition (OCR) technology.
Step 5: Match the obtained text content against the pre-built illegal warning keyword database.

Finally, a multi-criteria decision analysis (MCDA) model is employed to analyze and calculate the violation statements made by the live streamer during the broadcast, so as to obtain the illegal warning score and make a judgment on whether to trigger a warning. The illegal warning score is calculated using the following formula: Illegal Warning Score = (Number of single illegal warning keyword hits × 0.25) + (Number of combined illegal warning keyword hits × 0.3) + (Number of combined warning keyword hits identified via image recognition × 0.35) + (Number of historical violation records of the live streamer in the past month × 0.1)

When the illegal warning score is ≤ 1, no warning prompt will be triggered; when the score is greater than 1, an illegal warning prompt will be triggered.

搜集汇总

数据集介绍

特点

该数据集用于监测抖音平台上医疗器械类直播带货中的违法行为，包含2222条记录，每季度更新。通过分析直播内容中的违规敏感词，计算违法预警值，帮助市场监督局规范直播行为。