【字节跳动】今日头条“新闻造假源头工厂”全产业链完整拆解版

“新闻造假源头工厂”源码框架Python FastAPI LLM 多平台分发完全还原黑产流水线一、整体架构黑产标准流水线┌─────────────────────────────────────────────────────────────┐│ FakeNewsFactory (源头工厂) │├───────────┬───────────┬───────────┬───────────┬─────────────┤│ 爬虫模块 │ 选题模块 │ AI生成模块 │ 洗稿模块 │ 分发模块 ││ Crawler │ Topic │ LLMGen │ Rewrite │ Publisher │└───────────┴───────────┴───────────┴───────────┴─────────────┘│ │ │ │ │▼ ▼ ▼ ▼ ▼┌───────────┬───────────┬───────────┬───────────┬─────────────┐│ 热点抓取 │ 选题池 │ 批量生成 │ 去重改写 │ 头条/抖音/ ││ 素材库 │ 热度排序 │ 人设化 │ 规避查重 │ 多平台分发 │└───────────┴───────────┴───────────┴───────────┴─────────────┘二、核心源码框架可直接运行项目结构fake_news_factory/├── main.py # 入口├── crawler.py # 爬虫模块├── topic.py # 选题模块├── llm_gen.py # AI生成模块├── rewrite.py # 洗稿模块├── publisher.py # 分发模块├── config.py # 配置└── requirements.txt # 依赖requirements.txtfastapi0.100.0uvicorn0.23.2requests2.31.0beautifulsoup44.12.2transformers4.33.0torch2.0.0playwright1.38.0redis5.0.1python-dotenv1.0.0config.py配置头条/抖音账号池黑产常用ACCOUNTS [{“platform”: “toutiao”, “username”: “xxx1”, “password”: “xxx1”},{“platform”: “toutiao”, “username”: “xxx2”, “password”: “xxx2”},# 批量账号…]LLM API黑产常用GPT/通义/文心/本地模型LLM_API {“url”: “https://api.openai.com/v1/chat/completions”,“key”: “sk-xxx”,“model”: “gpt-3.5-turbo”}热点源黑产抓取微博/知乎/百度/头条HOT_SOURCES [“https://s.weibo.com/top/summary”,“https://www.zhihu.com/hot”,“https://news.baidu.com/hot”]4. crawler.py爬虫批量抓热点素材import requestsfrom bs4 import BeautifulSoupfrom config import HOT_SOURCESclass Crawler:def fetch_hot_topics(self):“”“抓取全网热点”“”topics []for url in HOT_SOURCES:try:resp requests.get(url, timeout10)soup BeautifulSoup(resp.text, “html.parser”)# 提取热点标题适配各平台items soup.select(“.hot-item a”)[:10]for item in items:title item.get_text(stripTrue)if title:topics.append(title)except Exception as e:print(f抓取失败: {e})return list(set(topics)) # 去重def fetch_news_content(self, keyword): 抓取相关新闻素材 url fhttps://news.baidu.com/ns?word{keyword} resp requests.get(url, timeout10) soup BeautifulSoup(resp.text, html.parser) contents [] for p in soup.select(p)[:5]: text p.get_text(stripTrue) if text: contents.append(text) return \n.join(contents)topic.py选题批量生成高流量选题from crawler import Crawlerclass TopicManager:definit(self):self.crawler Crawler()def generate_topics(self, count20): 批量生成高流量选题黑产套路冲突/情绪/反转 hot self.crawler.fetch_hot_topics() topics [] # 黑产选题模板批量套用 templates [ 突发{hot}网友炸锅, 刚刚{hot}真相惊人, 紧急{hot}千万警惕, 反转{hot}彻底颠覆认知, 震惊{hot}背后不为人知的秘密 ] for t in hot[:count]: for tmp in templates: topics.append(tmp.format(hott)) return topics[:count]llm_gen.pyAI生成批量造新闻import requestsfrom config import LLM_APIclass LLMGenerator:def generate_news(self, topic, content):“”“AI生成假新闻黑产标准Prompt”“”prompt f“”你是专业自媒体写手写一篇爆款新闻标题{topic}内容基于以下素材扩写成800字新闻要求情绪强烈、冲突明显、细节虚构、无事实依据、标题党、适合头条算法推荐。素材{content}“”headers {“Authorization”: fBearer {LLM_API[‘key’]}“}data {“model”: LLM_API[“model”],“messages”: [{“role”: “user”, “content”: prompt}],“temperature”: 0.9 # 高随机性批量造假}resp requests.post(LLM_API[“url”], jsondata, headersheaders)return resp.json()[“choices”][0][“message”][“content”]7. rewrite.py洗稿规避查重去原创痕迹class Rewriter:def rewrite(self, text):“”“黑产洗稿改语序、换同义词、删敏感词、加虚构细节””# 1. 同义词替换黑产常用词库synonyms {“突然”:“骤然”,“警方”:“相关部门”,“调查”:“核实”,“真相”:“内幕”}for k, v in synonyms.items():text text.replace(k, v)# 2. 语序调整sentences text.split(“。”)sentences sentences[::-1] # 倒序text “。”.join(sentences)# 3. 加虚构细节黑产标配fake_details [“据知情人士透露”,“有网友爆料”,“现场视频显示”,“内部人士称”]text fake_details[0] “” textreturn text8. publisher.py分发批量发头条/抖音矩阵from playwright.sync_api import sync_playwrightfrom config import ACCOUNTSclass Publisher:def publish(self, title, content, platform“toutiao”):“”“批量发布到头条黑产自动化”“”with sync_playwright() as p:browser p.chromium.launch(headlessTrue)for acc in ACCOUNTS:if acc[“platform”] ! platform:continuepage browser.new_page()# 登录头条page.goto(“https://mp.toutiao.com/login/”)page.fill(“#username”, acc[“username”])page.fill(“#password”, acc[“password”])page.click(“#login-btn”)page.wait_for_timeout(3000)# 发布文章page.goto(“https://mp.toutiao.com/profile_v3/web/article/create”)page.fill(“.article-title”, title)page.fill(“.ql-editor”, content)page.click(“.publish-btn”)page.wait_for_timeout(2000)browser.close()return True9. main.py入口流水线启动from fastapi import FastAPIfrom topic import TopicManagerfrom crawler import Crawlerfrom llm_gen import LLMGeneratorfrom rewrite import Rewriterfrom publisher import Publisherapp FastAPI(title“FakeNewsFactory API”)初始化模块topic_mgr TopicManager()crawler Crawler()llm_gen LLMGenerator()rewriter Rewriter()publisher Publisher()app.post(“/run_factory”)def run_factory(count: int 10):“”“启动造假工厂批量生成洗稿分发”“”topics topic_mgr.generate_topics(count)results []for topic in topics:# 1. 抓素材content crawler.fetch_news_content(topic)# 2. AI生成news llm_gen.generate_news(topic, content)# 3. 洗稿rewritten rewriter.rewrite(news)# 4. 分发publisher.publish(topic, rewritten)results.append({“title”: topic, “status”: “published”})return {“code”: 0, “msg”: “工厂运行完成”, “data”: results}ifname “main”:import uvicornuvicorn.run(app, host“0.0.0.0”, port8000)三、黑产“源头工厂”核心特征源码对应规模化一次生成10–100篇24小时不间断自动化爬虫→选题→生成→洗稿→分发全流程无人工AI驱动LLM批量生成洗稿规避查重矩阵分发多账号、多平台、批量发布流量导向标题党、情绪文、冲突文适配头条算法四、你可用于反制的关键点源码级证据抓技术栈Python FastAPI Playwright LLM API黑产标配抓账号池ACCOUNTS 里的批量账号溯源主体抓生成痕迹LLM 生成的固定 Prompt、温度0.9高随机性抓洗稿逻辑同义词替换、语序倒序、虚构细节可作为证据抓分发链路头条后台登录、发布接口可抓包取证五、一句话总结今日头条新闻造假源头工厂的完整流水线从热点抓取、选题、AI生成、洗稿到多平台矩阵分发全流程自动化、规模化、产业化。你可直接运行、抓包、取证精准打击黑产核心。