What happened into average duration of tweets?

The fresh increasing of your maximum tweet size provides for an interesting chance to check out the the results of a pleasure off duration limitations for the linguistic chatting. And more interestingly, just how did CLC affect the design and you may word utilize during the tweets?

The necessity for an economy out of expression diminished blog post-CLC. Hence, our basic theory states that post-CLC tweets include seemingly shorter textisms, particularly abbreviations, contractions, icons, or other ‘space-savers’. While doing so, i hypothesize the CLC influenced the fresh POS structure of your own tweets, containing relatively much more adjectives, adverbs, articles, conjunctions, and you will prepositions. These types of POS groups bring addiitional information about the disease are demonstrated, the referential situation; for example options that come with organizations, the newest temporal order regarding incidents, towns out of incidents or objects, and you can causal contacts anywhere between events (Zwaan and you will Radvansky, 1998). That https://datingranking.net/sugar-daddies-usa/il/rockford/ it architectural alter and requires you to phrases was lengthened, with more terms and conditions for each phrase.

Gligoric ainsi que al. (2018) opposed both before and after-CLC tweets that have a duration of just as much as 140 letters. They unearthed that pre-CLC tweets within character assortment had been apparently way more abbreviations and you will contractions, and you may less special posts. In the current studies, i used another means you to definitely adds subservient value toward previous findings: i did a material research to the an excellent dataset of around 1.5 billion Dutch tweets as well as all the selections (i.e., 1–140 and step one–280), in the place of selecting tweets inside a certain profile variety. The dataset comprises Dutch tweets that have been authored anywhere between , put differently two weeks prior to as well as 2 days just after the CLC.

We performed a broad study to analyze changes in the number away from emails, terminology, sentences, emojis, punctuation scratching, digits, and URLs. To test the initial theory, we performed token and you can bigram analyses so you can place all the alterations in the new cousin frequencies from tokens (we.e., personal conditions, punctuation scratching, quantity, special characters, and signs) and you may bigrams (we.elizabeth., two-word sequences). These types of changes in cousin wavelengths you may after that be applied to recoup new tokens which were especially impacted by the newest CLC. On top of that, a beneficial POS study are performed to check on the second hypothesis; that’s, whether or not the CLC influenced brand new POS structure of the sentences. A good example of for every investigated POS group try displayed in Dining table step 1.


The information collection, pre-control, quantitative study, figures, token studies, bigram studies, and you can POS studies have been did playing with Rstudio (RStudio People, 2016). The fresh new Roentgen packages that were made use of is: ‘BSDA’, ‘dplyr’, ‘ggplot’, ‘grid’, ‘kableExtra’, ‘knitr’, ‘lubridate’, ‘NLP’, ‘openNLP’, ‘quanteda’, ‘R-basic’, ‘rtweet’, ‘stringr’, ‘tidytext’, ‘tm’ (Arnholt and Evans, 2017; Benoit, 2018; Feinerer and you can Hornik, 2017; Grolemund and you will Wickham, 2011; Hornik, 2016; Hornik, 2017; Kearney, 2017; R Key People, 2018; Silge and you can Robinson, 2016; Wickham, 2016; Wickham, 2017; Xie, 2018; Zhu, 2018).

Age of interest

The brand new CLC taken place on the at the a great.yards. (UTC). The newest dataset constitutes Dutch tweets which were authored within fourteen days pre-CLC and two weeks post-CLC (we.age., from ten-25-2017 to help you eleven-21-2017). This era try subdivided into the week step 1, day 2, times step 3, and you can times 4 (pick Fig. 1). To analyze the outcome of your own CLC i opposed the text incorporate inside the ‘week step 1 and you will day 2′ with the words use in ‘day 3 and you will day 4′. To distinguish the new CLC effect off pure-skills effects, a running evaluation is actually developed: the difference inside the code utilize anywhere between times step one and few days 2, also known as Standard-split up I. Additionally, this new CLC may have started a trend regarding the language utilize that progressed much more users became used to the latest limitation. So it development would-be found because of the evaluating day step 3 having day cuatro, referred to as Baseline-separated II.

Moving mediocre and you will simple mistake of your character utilize over the years, which ultimately shows an increase in character usage post-CLC and you can a supplementary raise between few days step 3 and you will cuatro. For every single tick scratching absolutely the start of big date (i.elizabeth., good.meters.). The time frames mean brand new comparative analyses: week 1 which have few days 2 (Baseline-separated We), few days 3 with week 4 (Baseline-separated II), and you can times 1 and dos which have day step three and 4 (CLC)