researching-internet-slang-and-cultural-trends

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Original

English

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Translation

Chinese

Researching Internet Slang And Cultural Trends

研究网络俚语与文化趋势

Inputs

输入参数

Parameter	Type	Required	Default	Notes
`startUrls`	array	Optional	`[]`	Urban Dictionary search URLs
`keywords`	array	Optional	`[]`	Keywords/slang terms to search
`maxItems`	number	Optional	Unlimited	Maximum definitions to return
`customMapFunction`	string	Optional	—	JavaScript function to transform each output object

参数	类型	是否必填	默认值	说明
`startUrls`	数组	可选	`[]`	Urban Dictionary的搜索URL
`keywords`	数组	可选	`[]`	要搜索的关键词/俚语术语
`maxItems`	数字	可选	无限制	要返回的最大定义数量
`customMapFunction`	字符串	可选	—	用于转换每个输出对象的JavaScript函数

How to Run

运行方式

Using run_actor.js (recommended)

使用run_actor.js（推荐）

bash

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bash

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Quick answer (table)

快速输出（表格形式）

node scripts/run_actor.js --actor "apidojo~urbandictionary-scraper" --input '{"keywords": ["slay", "rizz", "no cap"], "maxItems": 5}'

Save as CSV

保存为CSV文件

node scripts/run_actor.js --actor "apidojo~urbandictionary-scraper" --input '{"keywords": ["slay", "rizz", "no cap"], "maxItems": 5}' --output results.csv --format csv

Save as JSON

保存为JSON文件

node scripts/run_actor.js --actor "apidojo~urbandictionary-scraper" --input '{"keywords": ["slay", "rizz", "no cap"], "maxItems": 5}' --output results.json --format json

undefined

node scripts/run_actor.js --actor "apidojo~urbandictionary-scraper" --input '{"keywords": ["slay", "rizz", "no cap"], "maxItems": 5}' --output results.json --format json

undefined

REST API fallback

备用REST API方式

bash

curl -X POST "https://api.apify.com/v2/acts/apidojo~urbandictionary-scraper/runs" \
  -H "Authorization: Bearer $APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"keywords": ["slay", "rizz", "no cap"], "maxItems": 5}'

If Apify MCP is available: Use the Apify MCP

call_actor

tool with actor

apidojo~urbandictionary-scraper

and the input above.

bash

curl -X POST "https://api.apify.com/v2/acts/apidojo~urbandictionary-scraper/runs" \
  -H "Authorization: Bearer $APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"keywords": ["slay", "rizz", "no cap"], "maxItems": 5}'

如果Apify MCP可用：使用Apify MCP的

call_actor

工具，指定actor为

apidojo~urbandictionary-scraper

并传入上述输入参数。

Scoring & Ranking

评分与排名

Score each definition by:

community_approval = thumbsUp / (thumbsUp + thumbsDown)

→ weight 0.50

```
thumbsUp
```
→ normalized 0-1 (cap at 50K), weight 0.30
```
recency
```
(newer entries = higher score) → weight 0.20

python

approval = thumbsUp / max(thumbsUp + thumbsDown, 1)
score = 0.50 * approval + 0.30 * min(thumbsUp / 50000, 1.0) + 0.20 * recency_score

通过以下维度为每个定义评分：

community_approval = thumbsUp / (thumbsUp + thumbsDown)

→ 权重0.50

```
thumbsUp
```
→ 归一化至0-1（上限50000），权重0.30
```
recency
```
（条目越新，分数越高）→ 权重0.20

python

approval = thumbsUp / max(thumbsUp + thumbsDown, 1)
score = 0.50 * approval + 0.30 * min(thumbsUp / 50000, 1.0) + 0.20 * recency_score

Classification

分类

Score	Tier	Label
≥ 0.70	A	CONSENSUS_DEFINITION
0.40–0.69	B	COMMUNITY_ACCEPTED
< 0.40	C	DISPUTED

分数	等级	标签
≥ 0.70	A	CONSENSUS_DEFINITION（共识定义）
0.40–0.69	B	COMMUNITY_ACCEPTED（社区认可）
< 0.40	C	DISPUTED（有争议）

Edge Cases

边缘情况

No results: Term not in Urban Dictionary — may be too new or too niche.
NSFW content: Urban Dictionary is explicit by default — filter results downstream for professional use.
Many definitions: Popular terms have 50+ entries — use maxItems to cap and focus on top voted.
Brand as slang: Brands sometimes appear as slang entries — check if the definition is positive or negative.
Evolving language: Definitions from 5+ years ago may be outdated — filter by createdAt if recency matters.

无结果：该术语未收录在Urban Dictionary中——可能过于新颖或小众。
NSFW内容：Urban Dictionary默认包含露骨内容——专业使用时需在下游过滤结果。
大量定义：热门术语有50+条条目——使用maxItems限制数量，聚焦高赞内容。
品牌成为俚语：品牌有时会作为俚语条目出现——需检查定义的正负倾向。
语言演变：5年以上的定义可能已过时——若重视时效性，可按createdAt过滤。