#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ 账号可信度评估模块 (Account Credibility Evaluator) 评估社交媒体账号的可信度 """ from typing import Dict, List, Any from enum import Enum class AccountType(Enum): """账号类型""" PERSONAL = "个人账号" MEDIA = "媒体账号" OFFICIAL = "官方账号" ORGANIZATION = "组织账号" BOT = "机器人账号" UNKNOWN = "未知" class AccountEvaluator: """账号可信度评估器""" def __init__(self): # 不同平台的认证标识 self.verification_indicators = { 'twitter': ['verified', 'blue_verified'], 'facebook': ['verified', 'page_verified'], 'instagram': ['verified'], 'youtube': ['verified'], 'tiktok': ['verified'], 'weibo': ['verified', 'v'], 'bilibili': ['official'] } async def evaluate(self, account_info: Dict[str, Any]) -> Dict[str, Any]: """ 评估账号可信度 Args: account_info: 账号信息 Returns: Dict: 评估结果 """ if not account_info: return { "account_type": AccountType.UNKNOWN.value, "credibility_score": 0.0, "verification_status": "未知", "risk_factors": [], "trust_indicators": [] } # 1. 识别账号类型 account_type = self._identify_account_type(account_info) # 2. 计算可信度分数 credibility_score = self._calculate_credibility_score(account_info) # 3. 确定认证状态 verification_status = self._check_verification_status(account_info) # 4. 识别风险因素 risk_factors = self._identify_risk_factors(account_info) # 5. 识别信任指标 trust_indicators = self._identify_trust_indicators(account_info) result = { "account_type": account_type.value, "credibility_score": round(credibility_score, 2), "verification_status": verification_status, "risk_factors": risk_factors, "trust_indicators": trust_indicators, "account_details": { "name": account_info.get('name', 'Unknown'), "followers": account_info.get('followers', 0), "following": account_info.get('following', 0), "posts_count": account_info.get('posts_count', 0), "account_age_days": account_info.get('account_age_days', 0) } } return result def _identify_account_type(self, account_info: Dict[str, Any]) -> AccountType: """ 识别账号类型 Args: account_info: 账号信息 Returns: AccountType: 账号类型 """ name = account_info.get('name', '').lower() username = account_info.get('username', '').lower() bio = account_info.get('bio', '').lower() followers = account_info.get('followers', 0) posts_count = account_info.get('posts_count', 0) # 机器人账号特征 bot_indicators = ['bot', '自动', 'auto', 'official bot', 'news bot'] if any(indicator in name or indicator in username for indicator in bot_indicators): return AccountType.BOT # 媒体账号特征 media_indicators = [ 'news', '媒体', '新闻', 'media', 'press', 'daily', 'times', 'post', 'reporter' ] if any(indicator in name or indicator in bio for indicator in media_indicators): return AccountType.MEDIA # 官方账号特征 official_indicators = [ 'official', '官方', 'gov', 'government', 'ministry', 'department', 'agency' ] if any(indicator in name or indicator in bio for indicator in official_indicators): return AccountType.OFFICIAL # 组织账号特征 org_indicators = [ 'corp', 'corporation', 'inc', 'llc', 'ltd', 'company', 'org', 'organization', '机构', '公司' ] if any(indicator in name or indicator in bio for indicator in org_indicators): return AccountType.ORGANIZATION # 高粉丝量可能是媒体账号 if followers > 100000: return AccountType.MEDIA # 默认为个人账号 return AccountType.PERSONAL def _calculate_credibility_score(self, account_info: Dict[str, Any]) -> float: """ 计算可信度分数（0-1） 评估维度： 1. 认证状态（0-0.3） 2. 粉丝数与互动比（0-0.2） 3. 账号年龄（0-0.2） 4. 发帖频率和数量（0-0.1） 5. 账号类型（0-0.2） """ score = 0.0 # 1. 认证状态 if account_info.get('verified', False): score += 0.3 # 2. 粉丝数与互动比 followers = account_info.get('followers', 0) avg_likes = account_info.get('avg_likes_per_post', 0) avg_comments = account_info.get('avg_comments_per_post', 0) if followers > 0: engagement_rate = (avg_likes + avg_comments) / followers # 合理的互动率（1%-5%）给予高分 if 0.01 <= engagement_rate <= 0.05: score += 0.2 elif engagement_rate > 0.005: score += 0.1 # 3. 账号年龄 account_age_days = account_info.get('account_age_days', 0) if account_age_days >= 365: # 1年以上 score += 0.2 elif account_age_days >= 180: # 半年以上 score += 0.1 # 4. 发帖频率和数量 posts_count = account_info.get('posts_count', 0) if posts_count >= 1000: score += 0.1 elif posts_count >= 100: score += 0.05 # 5. 账号类型 account_type = self._identify_account_type(account_info) if account_type in [AccountType.OFFICIAL, AccountType.MEDIA]: score += 0.2 elif account_type == AccountType.BOT: score -= 0.3 # 机器人扣分 # 截断在0-1之间 return max(0.0, min(1.0, score)) def _check_verification_status(self, account_info: Dict[str, Any]) -> str: """ 检查认证状态 Args: account_info: 账号信息 Returns: str: 认证状态 """ # 直接检查verified字段 if account_info.get('verified', False): return "已认证" # 检查其他认证相关字段 platform = account_info.get('platform', '').lower() indicators = self.verification_indicators.get(platform, []) for indicator in indicators: if account_info.get(indicator, False): return f"已认证（{indicator}）" # 检查blue_verified（Twitter Blue） if account_info.get('blue_verified', False): return "已认证（蓝V）" return "未认证" def _identify_risk_factors(self, account_info: Dict[str, Any]) -> List[str]: """ 识别风险因素 Args: account_info: 账号信息 Returns: List[str]: 风险因素列表 """ risk_factors = [] followers = account_info.get('followers', 0) following = account_info.get('following', 0) posts_count = account_info.get('posts_count', 0) account_age_days = account_info.get('account_age_days', 0) bio = account_info.get('bio', '').lower() name = account_info.get('name', '').lower() username = account_info.get('username', '').lower() # 新账号 if account_age_days < 30: risk_factors.append("新账号（创建不足30天）") # 极低粉丝数但大量发帖 if followers < 100 and posts_count > 1000: risk_factors.append("低粉丝高发帖") # 粉丝数与关注数异常比例 if followers > 0 and following > 0: ratio = followers / following if ratio < 0.1: # 关注数远大于粉丝数 risk_factors.append("关注数远大于粉丝数") elif ratio > 1000: # 粉丝数远大于关注数 risk_factors.append("粉丝数远大于关注数（可能是购买的粉丝）") # 账号名/用户名可疑 suspicious_patterns = ['random', 'numbers123', 'user', 'temp'] if any(pattern in username for pattern in suspicious_patterns): risk_factors.append("用户名格式可疑") # 简介空或过短 if len(bio) < 10: risk_factors.append("个人简介空或过短") # 机器人特征 bot_indicators = ['bot', '自动', 'auto'] if any(indicator in name or indicator) in bot_indicators for indicator in username: risk_factors.append("疑似机器人账号") return risk_factors def _identify_trust_indicators(self, account_info: Dict[str, Any]) -> List[str]: """ 识别信任指标 Args: account_info: 账号信息 Returns: List[str]: 信任指标列表 """ trust_indicators = [] followers = account_info.get('followers', 0) posts_count = account_info.get('posts_count', 0) account_age_days = account_info.get('account_age_days', 0) bio = account_info.get('bio', '') name = account_info.get('name', '') location = account_info.get('location', '') website = account_info.get('website', '') # 认证账号 if account_info.get('verified', False): trust_indicators.append("平台认证") # 老账号 if account_age_days >= 365: trust_indicators.append(f"账号存续{account_age_days // 365}年以上") # 高粉丝数 if followers >= 10000: trust_indicators.append(f"拥有{followers}粉丝") # 活跃发帖 if posts_count >= 1000: trust_indicators.append(f"发布{posts_count}条内容") # 完整资料 if bio and len(bio) >= 50: trust_indicators.append("个人简介详细") if location: trust_indicators.append("设置了地理位置") if website: trust_indicators.append("提供了个人网站") if name: trust_indicators.append("设置了真实姓名") return trust_indicators