The brand new tweet-ids support this new distinctive line of tweets regarding the Myspace API that will be older than 9 weeks (we
Your website Footnote dos was utilized as a means to gather tweet-ids Footnote step 3 , this website brings experts with metadata away from a beneficial (third-party-collected) corpus from Dutch tweets (Tjong Kim Carried out and Van den Bosch, 2013). age., new historic restriction when requesting tweets centered on a pursuit inquire). The new R-plan ‘rtweet’ and complementary ‘lookup_status’ setting were used to get tweets from inside the JSON style. The latest JSON file comprises a dining table with the tweets’ pointers, for instance the manufacturing go out, the brand new tweet text, additionally the origin (we.elizabeth., version of Facebook customer).
Studies clean and you will preprocessing
The JSON Footnote 4 files were converted into an R data frame object. Non-Dutch tweets, retweets, and automated tweets (e.g., forecast-, advertisement-relatea, and traffic-related tweets) were removed. In addition, we excluded tweets based on three user-related criteria: (1) we removed tweets that belonged to the top 0.5 percentile of user activity because we considered them non-representative of the normal user population, such as pages who created more than 2000 tweets within four weeks. (2) Tweets from users with early access to the 280 limit were removed. (3) Tweets from users who were not represented in both pre and post-CLC datasets were removed, this procedure ensured a consistent user sample over time (within-group design, Nusers = 109,661). All cleaning procedures and corresponding exclusion numbers are presented in Table 2.
New tweet messages was converted to ASCII encoding. URLs, line vacations, tweet headers, monitor labels, and you may references to screen labels were got rid of. URLs add to the profile number when found within the tweet. However, URLs don’t enhance the profile count when they’re located at the conclusion a beneficial tweet.