Executive Summary
Key Findings
Overview Dashboard
Distribution of negative posts across social media platforms
| Platform | Number of Posts | Percentage |
|---|
Distribution of negative posts by brand and their most common issues
| Brand | Total Posts | Top Issues |
|---|
Most frequently mentioned problems across all brands
| Rank | Issue | Mentions | Visual |
|---|
Phone models most frequently mentioned in negative posts
| Rank | Model | Mentions |
|---|
Top 10 representative posts from each platform
Posts specifically mentioning service center, warranty, or customer support problems
Data Collection
Collection Period:
Data Sources: Twitter, YouTube, TikTok, Facebook, LinkedIn, Pinterest, Instagram, Reddit, and other forums
Collection Method: Firecrawl API web search with targeted queries
Search Queries Used
- Brand-specific issues: "[brand] phone problem", "[brand] phone broken", "[brand] phone defect"
- Service issues: "service center complaint", "warranty issue", "poor customer service"
- Hardware problems: "overheating", "battery drain", "screen issue", "broken"
- Software problems: "software bug", "update problem", "system crash"
Brands Covered
Xiaomi, Huawei, Oppo, Vivo, Realme, OnePlus, Honor, ZTE, Lenovo, Nubia, Meizu, Infinix, Tecno
Data Processing
- Posts filtered for negative sentiment keywords
- Duplicate content removed
- Extracted metadata: platform, brand, date, author, text, URL, engagement metrics
- Sentiment keywords tagged for each post
Limitations
- Data represents publicly available social media posts only
- Engagement metrics may be incomplete for some platforms
- Xiaohongshu content was not directly accessible
- Language: Primarily English posts; limited Chinese language content
Download the complete dataset or search/filter all posts below
Complete dataset with all posts, metadata, and links
Searchable Data Table
| Platform ▼ | Brand ▼ | Date ▼ | Post Preview | Issues | Link |
|---|