在R语言中收集带地理编码的含Trump相关内容的推文

Hey there! I see you're trying to pull geocoded tweets related to Trump but coming up empty—let's break down the issues and fix this step by step.

First: Ditch tweetR for rtweet #

The tweetR package is no longer maintained and doesn't support the latest Twitter API v2, which is likely a big reason you're not getting results. The modern, supported alternative is rtweet—it's actively updated and works with Twitter's current API ecosystem.

Fixing Your Search & Geocoding #

Here's a revised workflow that should get you the geocoded tweets you need:

1. Install & Load rtweet #

First, set up the package:

install.packages("rtweet")
library(rtweet)

2. Authenticate with Twitter API #

You'll need a Twitter Developer account (free for basic use) to get API keys. Run this command to walk through the authentication setup:

auth_setup_default()

Follow the prompts to enter your API key, API secret key, and access token/secret (you can get these from your Twitter Developer Dashboard).

3. Optimized Search Query #

Your original search syntax is redundant (Twitter search is case-insensitive), and we'll adjust parameters to prioritize geocoded tweets:

# Search for Trump-related tweets with geocoding, centered on Atlanta (1000mi radius)
tweets <- search_tweets(
  q = "trump OR #trump",
  n = 500,  # Increase the number of tweets to account for low geocoded tweet density
  lang = "en",
  geocode = lookup_coords("Atlanta, GA", miles = 1000),  # Easier than manual coordinates
  include_rts = FALSE,  # Optional: Exclude retweets to focus on original content
  geocode_granularity = "place"  # Ensures we pull tweets with valid place/geo data
)

4. Filter for Only Geocoded Tweets #

Not all tweets in the results will have geocoding, so filter to keep only the ones that do:

geocoded_tweets <- subset(tweets, !is.na(geo_coords))

# Check how many you got
nrow(geocoded_tweets)

5. Prep Data for Mapping #

Extract latitude/longitude for mapping with:

geocoded_tweets <- lat_lng(geocoded_tweets)

Now you can use packages like ggplot2 or leaflet to plot these points on a map.

Common Pitfalls to Avoid #

• Low Geocoded Tweet Density: Most users don't enable location sharing on Twitter, so you may need to increase n or widen your geographic radius to get more results.
• API Limits: The free Twitter API tier has limits on how many tweets you can pull per request and per day—if you hit a limit, wait a bit or adjust n down.
• Outdated Package: Again, tweetR is deprecated, so switching to rtweet is non-negotiable for reliable results.

内容的提问来源于stack exchange，提问作者Patrick Harris