NEWS.md
tcn_threads
was retrieved individually as the initializing tweet, the conversation_id
extracted and then used as a search filter to collect a single conversation thread. This was a very inefficient process for large numbers of threads as it used one API request per thread, soon reaching the full-archive
search endpoint 300 request per 15 minute rate-limit (and imposing a ceiling of maximum 300 threads per 15 minutes).tcn_threads
are now collected at the start of an operation in batch and unique conversation_id
extracted from the tweets to do batch thread collection. An academic
or full-archive
enabled project has a search query character limit of 1024 characters, and projects limited to the recent
search endpoint a 512 character limit. A search query for multiple conversation_id
can be created in the following format: conversation_id:xxxxxxxxxxxxxxxxxxx OR conversation_id:xxxxxxxxxxxxxxxxxxx OR ...
within the character limit.tcn_threads
function now searches for as many conversation_id
per request that will fit into the search query character limit, significantly improving the thread collection time. This is approximately 26 ID’s per full-archive
and 13 per recent
search request. So for example, a maximum of 26 threads can be collected in a single request assuming the sum of tweets from all threads is less than max_results
. This translates to 7,800 threads per 15 minutes (300 * 26) for the full-archive
endpoint if each request of 26 threads has less than 500 tweets.max_results
to again be 500
tweets for full-archive
searches. This was previously set to 100
tweets, the same as the max_results
for a recent
endpoint search because of an issue requesting the context_annotations
tweet data field (Twitter impose a 100 tweet max for requests that include this field). The context_annotations
is no longer collected by default but can be included by using the annotations = TRUE
parameter.tcn_tweets
to be able to accept any number of tweet ids or urls. Previously was set to a maximum of 100.referenced_tweets
parameter to tcn_tweets
function so as to now have the option to specify if referenced tweets should also be retrieved. The default value is FALSE
.retry_on_limit
parameter to tcn_tweets
and tcn_counts
functions.warning
messages to use the message
function instead.magrittr
import and replaced pipes with native R version.tcn_counts
will now also accept tweet urls.tcn_counts
function for retrieving tweet counts over time for conversation ids. This uses the API v2 tweets/counts
endpoint and does not contribute to the monthly tweet cap. It could be used prior to collecting conversation threads to identify conversations to target or conversations to add to a skip list.max_results
querystring parameter have started to return response status code 400 for values over 100.max_results
parameter for function tcn_threads
has been changed from the maximum total results, and now refers to and allows the API parameter of the same name above to be set. The default value has been set to 100. If left at default academic projects using the full-archive search endpoint will only collect 30,000 tweets per 15 minute rate-limit.max_results
parameter for the function tcn_threads
has been renamed to max_total
.retry_on_limit
parameter to tcn_threads
to allow waiting for API rate-limit to reset before continuing, rather than exiting upon reaching the limit.tcn_tweets
function. This function accepts tweet URL’s or ID’s and collects specific tweet data using the API v2 tweets
endpoint. Currently supports only bearer access tokens.httr
request user-agent string via header field rather than options.converstion_id
as node and edge attribute to networks.tweets
, users
, errors
and meta
. The errors
dataframe contains partial errors such as those caused when trying to retrieve tweets that are not publicly available. The meta
dataframe contains search results metadata such as tweet id range, number of results and pagination token.public_metrics
during the JSON to dataframe process.end-point
parameter to endpoint
to be consistent with twitter documentation.max_results
parameter to coarsely limit how many tweets are collected in a tcn_threads
operation. This is to assist with managing the monthly tweet cap placed on projects using the API search endpoints.anti_join
on tweet_id
error.tcn_threads
function now produces a named list of dataframes: tweets
and users
for tweet data and user metadata.bearer
parameter to the tcn_token
function to assign a bearer token directly rather than retrieving it with app keys.tcn_token
function.tcn_threads
using the tweet_ids
parameter.tcn_threads
with the end_point = "all"
parameter.actor
or activity
network using the tcn_network
function with the type = "activity"
parameter.